ServiceNow teams with Workplace by Facebook on service chatbot

One of the great things about enterprise chat applications, beyond giving employees a common channel to communicate, is the ability to integrate with other enterprise applications. Today, Workplace, Facebook’s enterprise collaboration and communication application, and ServiceNow announced a new chatbot to make it easier for employees to navigate a company’s help desks inside Workplace Chat.

The beauty of the chatbot is that employees can get answers to common questions whenever they want, wherever they happen to be. The Workplace-ServiceNow integration happens in Workplace Chat and can can involve IT or HR help desk scenarios. A chatbot can help companies save time and money, and employees can get answers to common problems much faster.

Previously, getting these kind of answers would have required navigating multiple systems, making a phone call or submitting a ticket to the appropriate help desk. This approach provides a level of convenience and immediacy.

Companies can brainstorm common questions and answers and build them in the ServiceNow Virtual Agent Designer. It comes with some standard templates, and doesn’t require any kind of advanced scripting or programming skills. Instead, non-technical end users can adapt pre-populated templates to meet the needs, language and workflows of an individual organization.

Screenshot: ServiceNow

This is all part of a strategy by Facebook to integrate more enterprise applications into the tool. In May at the F8 conference, Facebook announced 52 such integrations from companies like Atlassian, SurveyMonkey, HubSpot and Marketo (the company Adobe bought in September for $4.75 billion).

This is part of a broader enterprise chat application trend around making these applications the center of every employee’s work life, while reducing task switching, the act of moving from application to application. This kind of integration is something that Slack has done very well and has up until now provided it with a differentiator, but the other enterprise players are catching on and today’s announcement with ServiceNow is part of that.

The great enterprise chat race

Alibaba has acquired Teambition, a China-based Trello and Asana rival, in its enterprise push

Alibaba has made an acquisition as it continues to square up to the opportunity in enterprise services in China and beyond, akin to what its US counterpart Amazon has done with AWS. TechCrunch has confirmed that the e-commerce and cloud services giant has acquired Teambition, a Microsoft- and Tencent-backed platform for coworkers to plan and collaborate on projects together, similar to Trello and Asana.

There were rumors of an acquisition circulating yesterday in Chinese media. Alibaba has now confirmed the acquisition to TechCrunch but declined to provide any other details.

Teambition had raised about $17 million in funding since 2013, with investors including Tencent, Microsoft, IDG Capital and Gobi Ventures. Gobi also manages investments on behalf of Alibaba, and that might have been one route to how the two became acquainted. Alibaba’s last acquisition in enterprise was German big data startup Data Artisans for $103 million.

As with others in the project management and collaboration space, Teambition provides users with mobile and desktop apps to interact with the service, and in addition to the main planning interface, there is one designed for CRM called Bingo, as well as a “knowledge base” where businesses can keep extra documentation and other collateral.

The deal is another sign of how Alibaba has been slowly building a business in enterprise powerhouse over the last several years as it races to keep its pole position in the Chinese market, as well as gain a stronger foothold in the wider Asian region and beyond.

In China alone, it has been estimated that enterprise services is a $1 billion opportunity, but with no clear leader at the moment across a range of verticals and segments that fall under that general umbrella, there is a lot to play for, and likely a lot more consolidation to come. (And it’s not the only one: Bytedance — more known for consumer services like TikTok — is rumored to be building a Slack competitor, and Tencent also has its sights on the sector, as does Baidu.)

As with AWS, Alibaba’s enterprise business stems out of the cloud-based infrastructure Alibaba has built for its own e-commerce powerhouse, which it has productised as a service for third parties that it calls Alibaba Cloud, which (like AWS) offers a range of cloud-storage and serving tiers to users.

On top of that, Alibaba has been building and integrating a number of apps and other services that leverage that cloud infrastructure, providing more stickiness for the core service as well as the potential for developing further revenue streams with customers.

These apps and services range from the recently-launched “A100” business transformation initiative, where Alibaba proposes working with large companies to digitise and modernize (and help run) their IT backends; through to specific products, such as Alibaba’s Slack competitor DingTalk.

With Alibaba declining to give us any details beyond a confirmation of the acquisition, and Teambition not returning our requests for comment, our best guess is that this app could be a fit in either of areas. That is to say, one option for Alibaba would be to integrate it and use it as part of a wider “business transformation” and modernization offering, or as a standalone product, as it currently exists.

Teambition today counts a number of Chinese giants, and giants with Chinese outposts, as customers, including Huawei, Xiaomi, TCL, and McDonalds in its customer list. The company currently has nothing on its site indicating an acquisition or any notices regarding future services, so it seems to be business as usual for now.

The opportunity around collaboration and workplace communication has become a very hot area in the last few years, spurred by the general growth of social media in the consumer market and people in business environments wanting to bring in the same kinds of tools to help them get work done. Planning and project management — the area that Teambition and its competitors address — is considered a key pillar in the wider collaboration space alongside cloud services to store and serve files and real-time communication services.

Slack, which is now valued at over $7 billion, has said it’s filed paperwork for a public listing, while Asana is now valued at $1.5 billion, while Trello’s owner Atlassian now has a market cap of nearly $26 billion.

Marketing tech vendors need to find right balance between digital and human interactions

As I walked the long halls of Adobe Summit this week in Las Vegas and listened to the company’s marketing and data integration story, I thought about the obvious disconnect that happens between brands and their customers. With tons of data, a growing set of tools to bring it together, and a desire to build an optimal experience, you would think we have been set up for thrilling consumer experiences, yet we all know that is not always what happens when the rubber meets the road.

Maybe part of the problem is that data sitting in databases doesn’t always translate into employee action when dealing directly with consumers. In many cases, the experience isn’t smooth, data isn’t passed from one source to another, and when you do eventually reach a person, they aren’t always knowledgeable or even nice.

It’s to the point that when my data does get passed smoothly from bot to human CSA, and I’m not asked for the same information for the second or even third time, I’m pleasantly surprised, even a little shocked.

That’s probably not the story marketing automation vendors like Adobe and Salesforce want to hear, but it is probably far more common than the one about delighted customers. I understand that the goal is to provide APIs to connect systems. It’s to stream data in real time from a variety of channels. It’s about understanding that data better by applying intelligent analytics, and to some extent I’m sure that’s happening and that there are brands who truly do want to delight us.

The disconnect could be happening because brands can control what happens in the digital world much better than the real one. They can know at a precise level when you interact with them and try to right wrongs or inconsistencies as quickly as possible. The problem is when we move to human interactions — people talking to people at the point of sale in a store, or in an office or via any communications channel — all of that data might not be helpful or even available.

The answer to that isn’t to give us more digital tools, or more tech in general, but to work to improve human-to-human communication, and maybe arm those human employees with the very types of information they need to understand the person they are dealing with when they are standing in front of them.

If brands can eventually get these human touch points right, they will build more loyal customers who want to come back, the ultimate goal, but right now the emphasis seems to be more on technology and the digital realm. That may not always achieve the desired results.

This is not necessarily the fault of Adobe, Salesforce or any technology vendor trying to solve this problem, but the human side of the equation needs to be a much stronger point of focus than it currently seems to be. In the end, all the data in the world isn’t going to save a brand from a rude or uninformed employee in the moment of customer contact, and that one bad moment can haunt a brand for a long, long time, regardless how sophisticated the marketing technology it’s using may be.

User Interviews, a platform for product feedback, raises $5 million

It’s not uncommon to hear CEOs and business leaders talk about focusing on the consumer. But the only way to build for the consumer is to hear what they want, which can be a resource-intensive thing to retrieve.

User Interviews, an ERA-backed company out of New York, is looking to lighten that load with a fresh $5 million in seed funding from Accomplice, Las Olas, FJ Labs, and ERA.

User Interviews actually started out as Mobile Suites, an amenities logistics platform for hotels. It was a dud, and the team — Basel Fakhoury, Dennis Meng and Bob Saris — decided to do far more user research before determining the next product.

In the process of talking to customers to understand their pain points, they realized just how difficult collecting user feedback could be.

That’s how User Interviews was born. The platform’s first product, called Recruit, offers a network of non-users that can be matched with companies to provide feedback. In fact, User Interviews’ first sales were made by simply responding to Craigslist ads posted by companies looking for non-users from which they could collect feedback.

But because the majority of user research is based on existing users, the company also built Research Hub, which is essentially a CRM system for user feedback and research. To be clear, User Interviews doesn’t facilitate the actual emails sent to users, but does track the feedback and make sure that no one from the research team is reaching out to a single user too often.

With Recruit, User Interviews charges $30/person that it matches with a company for feedback. Research Hub costs starts at $150/month.

“Right now, our greatest challenge is that our clients are the best product people in the world, and we have a huge pipeline of amazing ideas that are very valuable and no one is doing yet that our clients would love,” said CEO and founder Basel Fakhoury. “But we have to build it fast enough.”

No mention of what those forthcoming products might be, but the current iteration sure seems attractive enough. User Interviews clients include Eventbrite, Glassdoor, AT&T, DirecTV, Lola, LogMeIn, Thumbtack, Casper, ClassPass, Fandango, NNG, Pinterest, Pandora, Colgate, Uber and REI, to name a few.

Vizion.ai launches its managed Elasticsearch service

Setting up Elasticsearch, the open-source system that many companies large and small use to power their distributed search and analytics engines, isn’t the hardest thing. What is very hard, though, is to provision the right amount of resources to run the service, especially when your users’ demand comes in spikes, without overpaying for unused capacity. Vizion.ai’s new Elasticsearch Service does away with all of this by essentially offering Elasticsearch as a service and only charging its customers for the infrastructure they use.

Vizion.ai’s service automatically scales up and down as needed. It’s a managed service and delivered as a SaaS platform that can support deployments on both private and public clouds, with full API compatibility with the standard Elastic stack that typically includes tools like Kibana for visualizing data, Beats for sending data to the service and Logstash for transforming the incoming data and setting up data pipelines. Users can easily create several stacks for testing and development, too, for example.

Vizion.ai GM and VP Geoff Tudor

“When you go into the AWS Elasticsearch service, you’re going to be looking at dozens or hundreds of permutations for trying to build your own cluster,” Vision.ai’s VP and GM Geoff Tudor told me. “Which instance size? How many instances? Do I want geographical redundancy? What’s my networking? What’s my security? And if you choose wrong, then that’s going to impact the overall performance. […] We do balancing dynamically behind that infrastructure layer.” To do this, the service looks at the utilization patterns of a given user and then allocates resources to optimize for the specific use case.

What VVizion.ai hasdone here is take some of the work from its parent company Panzura, a multi-cloud storage service for enterprises that has plenty of patents around data caching, and applied it to this new Elasticsearch service.

There are obviously other companies that offer commercial Elasticsearch platforms already. Tudor acknowledges this, but argues that his company’s platform is different. With other products, he argues, you have to decide on the size of your block storage for your metadata upfront, for example, and you typically want SSDs for better performance, which can quickly get expensive. Thanks to Panzura’s IP, Vizion.ai is able to bring down the cost by caching recent data on SSDs and keeping the rest in cheaper object storage pools.

He also noted that the company is positioning the overall Vizion.ai service, with the Elasticsearch service as one of the earliest components, as a platform for running AI and ML workloads. Support for TensorFlow, PredictionIO (which plays nicely with Elasticsearch) and other tools is also in the works. “We want to make this an easy serverless ML/AI consumption in a multi-cloud fashion, where not only can you leverage the compute, but you can also have your storage of record at a very cost-effective price point.”

Microsoft gives 500 patents to startups

Microsoft today announced a major expansion of its Azure IP Advantage program, which provides its Azure users with protection against patent trolls. This program now also provides customers who are building IoT solutions that connect to Azure with access to 10,000 patents to defend themselves against intellectual property lawsuits.

What’s maybe most interesting here, though, is that Microsoft is also donating 500 patents to startups in the LOT Network. This organization, which counts companies like Amazon, Facebook, Google, Microsoft, Netflix, SAP, Epic Games, Ford, GM, Lyft and Uber among its well over 150 members, is designed to protect companies against patent trolls by giving them access to a wide library of patents from its member companies and other sources.

“The LOT Network is really committed to helping address the proliferation of intellectual property losses, especially ones that are brought by non-practicing entities, or so-called trolls,” Microsoft  CVP and Deputy General Counsel Erich Andersen told me. 

This new program goes well beyond basic protection from patent trolls, though. Qualified startups who join the LOT Network can acquire Microsoft patents as part of their free membership and as Andresen stressed, the startups will own them outright. The LOT network will be able to provide its startup members with up to three patents from this collection.

There’s one additional requirement here, though: to qualify for getting the patents, these startups also have to meet a $1,000 per month Azure spend. As Andersen told me, though, they don’t have to make any kind of forward pledge. The company will simply look at a startup’s last three monthly Azure bills.

“We want to help the LOT Network grow its network of startups,” Andersen said. “To provide an incentive, we are going to provide these patents to them.” He noted that startups are obviously interested in getting access to patents as a foundation of their companies, but also to raise capital and to defend themselves against trolls.

Microsoft joins the LOT Network to help fight patent trolls

The patents we’re talking about here cover a wide range of technologies as well as geographies. Andersen noted that we’re talking about U.S. patents as well as European and Chinese patents, for example.

“The idea is that these startups come from a diverse set of industry sectors,” he said. “The hope we have is that when they approach LOT, they’ll find patents among those 500 that are going to be interesting to basically almost any company that might want a foundational set of patents for their business.”

As for the extended Azure IP Advantage program, it’s worth noting that every Azure customer who spends more than $1,000 per month over the past three months and hasn’t filed a patent infringement lawsuit against another Azure customers in the last two years can automatically pick one of the patents in the program’s portfolio to protect itself against frivolous patent lawsuits from trolls (and that’s a different library of patents from the one Microsoft is donating to the LOT Network as part of the startup program).

As Andresen noted, the team looked at how it could enhance the IP program by focusing on a number of specific areas. Microsoft is obviously investing a lot into IoT, so extending the program to this area makes sense. “What we’re basically saying is that if the customer is using IoT technology — regardless of whether it’s Microsoft technology or not — and it’s connected to Azure, then we’re going to provide this patent pick right to help customers defend themselves against patent suits,” Andersen said.

In addition, for those who do choose to use Microsoft IoT technology across the board, Microsoft will provide indemnification, too.

Patent trolls have lately started acquiring IoT patents, so chances are they are getting ready to making use of them and that we’ll see quite a bit of patent litigation in this space in the future. “The early signs we’re seeing indicate that this is something that customers are going to care about in the future,” said Andersen.

Before breaking up with Shopify, Mailchimp quietly acqui-hired LemonStand, a Shopify competitor

Here’s an interesting twist on the story from last week about the break-up between Shopify and Mailchimp, after the two said they were at odds over how customer data was shared between the two companies. It turns out that before it parted ways with Shopify, Mailchimp had quietly made an acquisition of LemonStand, one of the e-commerce platform’s smaller competitors, to bring more integrated e-commerce features into its platform.

After news broke of the rift between Mailchimp and Shopify, rumors started to circulate among people in the world of e-commerce about Mailchimp buying Vancouver-based LemonStand, which had announced on March 5 that it was shutting down its service in 90 days, on June 5, without much of an explanation why.

We were tipped off on those rumors, so we contacted Ross Paul, LemonStand’s VP of growth and an investor in the startup, who suggested we contact Mailchimp. (Paul now lists Mailchimp as his employer on his LinkedIn profile.) Mailchimp confirmed the deal, describing it as an acqui-hire, with the team now woking on light e-commerce functionality.

“Mailchimp acqui-hired the team behind LemonStand at the end of February,” Mailchimp said in a statement provided to TechCrunch. It did not provide any financial terms for the deal.

Mailchimp — which is privately held and based in Atlanta — said it made the acquisition to provide more features to its customers, specifically those in e-commerce.

“Mailchimp helps small businesses grow, and our e-commerce customers have been asking us to add more functionality to our platform to help them market more effectively,” the company said in a statement. “The LemonStand team is helping us build out our e-commerce light functionality.”

But Mailchimp is clear to say that its acqui-hire was not related to ending its relationship with Shopify.

“Our decision to discontinue our partnership with Shopify last week is unrelated to LemonStand,” Mailchimp said. “Shopify knew we were working on e-commerce features long before we hired the LemonStand team. In fact, we launched Shoppable Landing Pages last fall in partnership with Square, and Shopify chose not to partner with us on the launch.”

But even if the LemonStand deal is not related to its rift with Shopify, the acquisition of one and the breakup with the other both point to the same thing: the growing role of Mailchimp’s e-commerce business.

The company — which provides email marketing and other marketing services to business — has been slowly building a revenue stream in e-commerce by integrating a number of features into its platform to let its customers, for example, sell items as part of the marketing process. These are less about building full check-out experiences or commerce backends, but for offering, say, one-off sale items as part of a particular promotion or campaign.

Last year, when Mailchimp launched those new shoppable landing pages with Square, it said that 50 percent of its revenues were now coming from e-commerce, with its customers selling more than $22 billion worth of products in the first half of 2018. Mailchimp made some $600 million in revenue in 2018, which — if its 50 percent e-commerce figure remained consistent — meant that it made $300 million last year just from e-commerce-related services.

The Square partnership is instructive in light of this acquisition. While Mailchimp is indeed building some native e-commerce features for its platform, it will continue to work with third parties (if not Shopify, the biggest of them all) to provide other functionality.

“We believe small businesses are best served when they can choose which technology they use to run their businesses, which is why we integrate with more than 150 different apps and platforms including e-commerce platforms,” Mailchimp said in its statement to TechCrunch.

“We’re not trying to become an e-commerce platform or compete directly with companies like Shopify,” it added, “and we think that adding e-commerce features in Mailchimp will help our e-commerce partners. Companies will be able to start their businesses with Mailchimp and have a seamless experience, and eventually use Mailchimp along with one of our e-commerce partners.”

Proxy raises $13.6M to unlock anything with Bluetooth identity

You know how kings used to have trumpeters heralding their arrival wherever they went? Proxy wants to do that with Bluetooth. The startup lets you instantly unlock office doors and reserve meeting rooms using Bluetooth Low Energy signal. You never even have to pull out your phone or open an app. But Proxy is gearing up to build an entire Bluetooth identity layer for the world that could invisibly hover around its users. That could allow devices around the workplace and beyond to instantly recognize your credentials and preferences to sign you into teleconferences, pay for public transit, or ask the barista for your usual,

Today, Proxy emerges from stealth after piloting its keyless, badgeless office entry tech with 50 companies. It’s raised a $13.6 million Series A round led by Kleiner Perkins to turn your phone into your skeleton key. “The door is a forcing function to solve all the hard problems — everything from safety to reliability to the experience to privacy” says Proxy co-founder and CEO Denis Mars. “If you’re gonna do this, it’s gonna have to work right, and especially if you’re going to do this in the workplace with enterprises where there’s no room to fix it.”

But rather than creepily trying to capitalize on your data, Proxy believes you should own and control it. Each interaction is powered by an encrypted one-time token so you’re not just beaming your unprotected information out into the universe. “I’ve been really worried about how the internet world spills over to the physical world. Cookies are everywhere with no control. What’s the future going to be like? Are we going to be tracked everywhere or is there a better way?” He figured the best path to the destiny he wanted was to build it himself.

Mars and his co-founder Simon Ratner, both Australian, have been best buddies for 10 years. Ratner co-founded a video annotation startup called Omnisio that was acquired by YouTube while Mars co-founded teleconferencing company Bitplay which was bought by Jive Software. Ratner ended up joining Jive where the pair began plotting a new startup. “We asked ourselves what we wanted to do with the next 10 or 20 years of our lives. We both had kids and it changed out perspective. What’s meaningful that’s worth working on for a long time?”

They decided to fix a real problem while also addressing their privacy concerns. As he experimented with Internet Of Things devices, Mars found every fridge and lightbulb wanted you to download an app, set up a profile, enter your password, and then hit a button to make something happen. He became convinced this couldn’t scale and we’d need a hands-free way to tell computers who we are. The idea for Proxy emerged. Mars wanted to know, “Can we create this universal signal that anything can pick up?”

Most offices already have infrastructure for badge-based RFID entry. The problem is that employees often forget their badges, waste time fumbling to scan them, and don’t get additional value from the system elsewhere.

So rather than re-invent the wheel, Proxy integrates with existing access control systems at offices. It just replaces your cards with an app authorized to constantly emit a Bluetooth Low Energy signal with an encrypted identifier of your identity. The signal is picked up by readers that fit onto the existing fixtures. Employees can then just walk up to a door with their phone within about 6 feet of the sensor, and the door pops open. Meanwhile, their bosses can define who can go where using the same software as before, but the user still owns their credentials.

“Data is valuable, but how does the end user benefit? How do we change all that value being stuck with these big tech companies and instead give it to the user?” Mars asks. “We need to make privacy a thing that’s not exploited.”

Mars believes now’s the time for Proxy because phone battery life is finally getting good enough that people aren’t constantly worried about running out of juice. Proxy’s Bluetooth Low Energy signal doesn’t suck up much, and geofencing can wake up the app in case it shuts down while on a long stint away from the office. Proxy has even considered putting inductive charging into its sensors so you could top up until your phone turns back on and you can unlock the door.

Opening office doors isn’t super exciting, though. What comes next is. Proxy is polishing its features that auto-reserve conference rooms when you walk inside, that sign you into your teleconferencing system when you approach the screen, and and that personalize workstations when you arrive. It’s also working on better office guest check-in to eliminate the annoying iPad sign-in process in the lobby. Next, Mars is eyeing “Your car, your home, all your devices. All these things are going to ask ‘can I sense you and do something useful for you?'”

After demoing at Y Combinator, thousands of companies reached out to Proxy from hotel chains to corporate conglomerates to theme parks. Proxy charges for its hardware plus a monthly subscription fee per reader. Employees are eager to ditch their keycards, so Proxy sees 90% adoption across all its deployments. Customers only churn if something breaks and it hasn’t lost a customer in two years, Mars claims.

The status quo of keycards, competitors like OpenPath, and long-standing incumbents all typically only handle doors, while Proxy wants to build an omni-device identity system. Now Proxy has the cash to challenge them, thanks the to the $13.6 million from Kleiner, Y Combinator, Coatue Management, and strategic investor WeWork. In fact, Proxy now counts WeWork’s headquarters and Dropbox as clients. “With Proxy, we can give our employees, contractors, and visitors a seamless smartphone-enabled access experience they love, while actually bolstering security,” says Christopher Bauer, Dropbox’s Physical Security Systems Architect.

The cash will help answer the question of “How do we turn this into a protocol so we don’t have to build the other side for everyone?” Mars explains. Proxy will build out SDKs that can be integrated into any device, like a smoke detector that could recognize what people are in the vicinity and report that to first responders. Mars thinks hotel rooms that learn your climate, wake up call, and housekeeping preferences would be a no-brainer. Amazon Go-style autonomous retail could also benefit from the tech.

When asked what keeps him up at night, Mars concludes that “the biggest thing that scares me is that this requires us to be the most trustworthy company in the planet. There is no ‘move fast, break things’ here. It’s ‘move fast, do it right, don’t screw it up.'”

Microsoft, Adobe and SAP prepare to expand their Open Data Initiative

At last year’s Microsoft Ignite conference, the CEOs of Microsoft, Adobe and SAP took the stage to announce the launch of the Open Data Initiative. The idea behind this effort was to make it easier for their customers to move data between each others’ services by standardizing on a common data format and helping them move their data out of their respective silos and into a single customer-chosen data lake. At this week’s Adobe Summit, the three companies today announced how they plan to expand this program as they look to bring in additional partners.

“The intent of the companies joining forces was really to solve a common customer problem that we hear time and time again, which is that there are high-value business data tends to be very siloed in a variety of different applications,” Alysa Taylor, Microsoft’s corporate vice president, Business Applications & Global Industry, told me. “Being able to extract that data, reason over that data, garner intelligence from that data, is very cost-prohibitive and it’s very manual and time-consuming.”

The core principle of the alliance is that the customers own their data and they should be able to get as much value out of it as they can. Ideally, having this common data schema means that the customer doesn’t have to figure out ways to transform the data from these vendors and can simply flow all of it into a single data lake that then in turn feeds the various analytics services, machine learning systems and other tools that these companies offer.

At the Adobe Summit today, the three companies showed their first customer use case based on how Unilever is making use of this common data standard. More importantly, though, they also stressed that the Open Data Initiative is indeed open to others. As a first step, the three companies today announced the formation of a partner advisory council.

“What this basically means is that we’ve extended it out to key participants in the ecosystem to come and join us as part of this ODI effort,” Adobe’s VP of Ecosystem Development Amit Ahuja told me. “What we’re starting with is really a focus around two big groups of partners. Number one is, who are the other really interesting ISVs who have a lot of this core data that we want to make sure we can bring into this kind of single unified view. And the second piece is who are the major players out there that are trying to help these customers around their enterprise architecture.”

The first 12 partners that are joining this new council include Accenture, Amadeus, Capgemini, Change Healthcare, Cognizant, EY, Finastra, Genesys, Hootsuite, Inmobi, Sprinklr and WPP. This is very much a first step, though. Over time, the group expects to expand far beyond this first set of partners and include a much larger group of stakeholders.

“We really want to make this really broad in a way that we can quickly make progress and demonstrate that what we’re talking about from a conceptual process has really hard customer benefits attached to it,” Abhay Kumar, SAP’s global vice president, Global Business Development & Ecosystem, noted. The use cases the alliance has identified focus on market intelligence, sales intelligence and services intelligence, he added.

Today, as enterprises often pull in data from dozens of disparate systems, making sense of all that information is hard enough, but to even get to this point, enterprises first have to transform it and make it usable. To do so, they then have to deploy another set of applications that massages the data. “I don’t want to go and buy another 15 or 20 applications to make that work,” Ahuja said. “I want to realize the investment and the ROI of the applications that I’ve already bought.”

All three stressed that this is very much a collaborative effort that spans the engineering, sales and product marketing groups.

Microsoft, SAP and Adobe take on Salesforce with their new Open Data Initiative for customer data

Goodly replaces lame office perks with student loan repayment

There are better employee perks than a ping-pong table. 70 percent of Americans graduate college with student loan debt. That’s 45 million people who owe $1.6 trillion. So when employers use Goodly to offer $100 per month in student loan payback for a $6 fee, talent sticks around. The startup found 86 percent of employees said they’d stay with a company for at least five years if their employer helped pay down their student loans. Yet employers break even if workers stay just two extra months, and get a 5X return if they stay an extra year since it costs so much to hire and train replacement staff.

Now, Y Combinator-backed Goodly has raised a $1.3 million seed round led by Norwest. The startup hopes capitalize on corporate America waking up to student loan payback as a benefit, which is expected grow from being offered by 4 percent of companies today to 32 percent by 2021.

Goodly co-founder and CEO Greg Poulin knows the student loan crisis personally. “When I was in school, my father passed away very unexpectedly due to a heart attack. I had to borrow $80,000 to for college at Dartmouth” he tells me. His monthly payment is now $900. The stress that debt creates can poison the rest of life. He says 21 percent of employees with student loan debt have delayed marriage, 28 percent have put off starting a family, and 1 out of 8 divorces is now directly attributed to student loan debt. “I’ve seen first-hand how challenging it is for employees to save for retirement or start a family” when they’re strapped with debt, Poulin says.

He met his co-founder and CTO Hemant Verma when they started working at Zenefits’ founder Parker Conrad’s new employee onboarding startup Rippling in 2017. That tought them how simplifying the benefits sign-up process could become its own business. Typically it requires that benefits be integrated with a company’s financial software like payroll and be set up with proper provisioning access. It’s enough of a chore that companies don’t go to the trouble of offering student loan repayment.

Poulin and Hemant started Goodly to create a “set it and forget it” system that automates everything. They charge $6 per month per participating employee and typically see adoption by 30 percent to 40 percent of employees. Rather than help with their monthly payment that includes interest, Goodly clients pay down their employees’ core debt so they can escape more quickly. Employees get a dashboard where they can track their debt and all of the contributions their company has made. Goodly hasn’t had a single customer churn since launch, demonstrating how badly employers want to keep job-hopping talent in their roles.

“We found that our people put off contributing to their 401Ks and buying a house because of their student loan debt. We thought that offering a Student Loan Repayment Benefit would be a great low-cost and high-impact benefit to attract and retain talent while alleviating some of the stress and the financial burden on our employees.” says Kim Alessi, an HR Generalist.

Goodly’s founders and first employees

The business opportunity here is relatively young but there are a few competitors. Boston-based Gratify was acquired by First Republic, which Santa Monica’s Tuition.io pivoted to offering student loan benefits. But Goodly’s connection to so many potential clients plus its new funding could help it make student loan repayment a ubiquitous perk. Along with Norwest and YC, the funding comes from ACE & Company, Arab Angel, Zeno Ventures, and angel investors including Optimizely’s Pete Koomen, DreamHost’s Josh Jones, ShipStation’s Jason Hodges, Fairy’s Avlok Kohli, and Telly’s Mo Al Adham.

Beyond improving talent retention, Goodly may also help erase some of the systematic discrimination against minorities in our country. Women hold 66 percent of all student loan debt, black and Latinx Americans have 31 percent more student debt than their peers, and LGBTQ borrowers owe $16,000 more than an average member of the population. Convincing employers to address student loan debt could give everyone more freedom of choice when it comes to what they work on and how they live their lives.

Enterprise drone service Kespry raises new funding from Salesforce Ventures

Kespry, a company that offers industrial users a subscription-based drone service, today announced that it has raised funding from Salesforce Ventures, marking that firm’s first hardware investment. With this, Salesforce and Kespry are also partnering around bringing Kespry’s drone services for the insurance industry to Salesforce’s own tools for this vertical. Sadly, the companies did not disclose the actual funding amount, but our understanding is that it’s a substantial amount that’s comparable to other Salesforce Ventures investments.

With its focus on industrial use cases the company, which was founded in 2013, has developed a strong foothold in the mining and aggregates space, where it offers tools for doing volumetric measurements of stockpiles based on the imagery it captures from its drones, for example. In addition, though, the company also focuses on the construction, insurance and — most recently — energy sector.

Today, Kespry has over 300 customers, the company’s CEO George Mathew tells me. Over 200 of those are the mining aggregates business and over 40 of these signed up for the company’s services in the last twelve months alone.

So while drones may not be at the top of the hype cycle right now, those companies that found their niche early on are clearly thriving. “Drones are very much a vibrant and moving landscape in terms of how much activity has gone on,” he said. “For us, we’ve been largely and continuously focused on the commercial aspects of the market that we can solve for really difficult industrial challenges. […] But I think others have had some challenges because it’s not the most straightforward thing to figure out a viable business model for scale in the drone space.”

Mathew argues that Kespry’s subscription model and the fact that it offers an end-to-end hardware and software solution is one of the reasons why the company is thriving today.

The Salesforce investment came about thanks to a chance encounter with that company’s CEO Marc Benioff at an industry event. As Salesforce was looking to offer more vertically oriented applications for the insurance industry, there was clearly a role for Kespry in this business. “We need a lot of need in the insurance space to get a claim processed when it comes to physical damage that may have occurred after a catastrophic event,” Mathew said. In those cases, Salesforce’s tools may be used to dispatch adjudicators already and these claims adjusters often also use Kespry’s services to fly the drones to assess roof damage, for example.

Kespry also signed on to Saleforce’s Pledge 1% program and as part of this, it contributes one percent of its employees’ time to corporate social responsibility and charitable endeavors.

Hong Kong-based fintech startup Qupital raises $15M Series A to expand in mainland China

Qupital, a fintech startup that bills itself as Hong Kong’s largest trade financing platform for SMEs, has closed a $15 million Series A led by CreditEase FinTech Investment Fund (CEFIF), with participation from returning investors Alibaba Hong Kong Entrepreneurs Fund and MindWorks Ventures, both participants in its seed round. To date, Qupital has raised $17 million, including a seed round two years ago, and will use its latest funding to expand its supply chain financing products, launch in mainland Chinese cities and hire more people for its tech development and risk management teams.

CreditEase, which provides loans and other financial services for SMEs in China, will act as a strategic investor, aiding with Qupital’s geographic expansion. Existing investor Alibaba has already helped Qupital reach small businesses on its platform. Qupital will open branches in Chinese cities including Shanghai, Hangzhou, Guangzhou and Shenzhen, along with setting up a new technology center in the Guangdong-Hong Kong-Macau Greater Bay Area for talent and tech development. In total, it will hire about 100 people for its Hong Kong office this year.

Founded in 2016, Qupital offers lending for SMEs that frequently have cash flow issues because they are in a cycle of waiting for invoices to be paid. Qupital’s loans cover most of the value of an invoice, then matches that with investors and funders who cover the cash with the expectation of a return. The company makes money by charging SMEs a service fee that is a fixed percentage of the total invoice value and then a discount fee, and taking a percentage of net gains made by investors.

Qupital has now processed 8,000 trades, totaling HKD $2 billion in value. It won’t disclose how many SMEs it has worked with, but co-founder and chairman Andy Chan says that number is in the hundreds.

Chan tells TechCrunch that in China, Qupital will not compete directly against traditional financial institutions, because it focuses on financing the Hong Kong business entities of Chinese companies in U.S. and Hong Kong currency, instead of onshore renminbi. It will also target SMEs underserved by traditional lenders, by using alternative data sources to determine their creditworthiness.

In a prepared statement, CEFIF managing director Dennis Cong said “The growing volume of SME and cross-border trading drives a huge demand for alternative financing for SME’s who are underserved in the market and opportunities for investors to earn a decent risk-adjusted return. We look forward to working with Qupital to broaden its source of capital base and create unparalleled investment opportunities for CreditEase.”

Adobe announces deeper data sharing partnership with Microsoft around accounts

Microsoft and Adobe have been building a relationship for some time, and today the two companies announced a deeper integration between the two platforms at Adobe Summit in Las Vegas.

It involves sharing Marketo data, the company that Adobe acquired last September for $4.75 billion. Because it’s marketers, they were duty-bound to give it a new name. This data sharing approach is being dubbed Account Based Experience or ABX for short. The two companies are sharing data account data between a number of sources including Marketo Engage in Adobe Experience Cloud and Microsoft Dynamics 365 for Sales, as well as the LinkedIn, the business social platform Microsoft bought in 2016 for a whopping $26.2 billion.

Microsoft has been trying to find ways to put that LinkedIn data to work, and tools like Marketo can use the data in LinkedIn to understand their account contacts better. Steve Lucas, former CEO at Marketo, who is now Senior Vice President and head of the Marketo team at Adobe says accounts tend to be much more complex sales than selling to individuals, involving multiple decision makers. It’s a sales cycle that can stretch on for months, and having access to additional data about the account contacts can have a big impact.

“With these new account-based capabilities, marketing and sales teams will have increased alignment around the people and accounts they are engaging, and new ways to measure that business impact,” Lucas explained in a statement.

Brent Leary, principal at CRM Essentials, who has been working in CRM, customer service and marketing for years sees this as useful partnership for customers from both vendors. “Integrating Microsoft Dynamics and LinkedIn more closely with Marketo gives Adobe’s Experience Cloud some great data to leverage in order to have a more complete picture of B2B customers,” Leary told TechCrunch.

The goal is to close complex sales, and having access to more complete data across the two product sets can help achieve that.

Adobe gets its company, snaring Marketo for $4.75 billion

Lola.com raises $37M to take on SAP and others in the world of business travel

Business customers continue to be a huge target for the travel industry, and today a startup has raised a tidy sum to help it double down on the $1.7 trillion opportunity. Lola.com — a platform for business users to book and manage trips — has raised $37 million to continue building out its technology and hire more talent as it takes on incumbents like SAP targeting the corporate sector.

The Series C is led by General Catalyst and Accel, with participation from CRV, Tenaya Capital and GV. All are previous investors. We are asking about the valuation but it looks like prior to this, the company had raised just under $65 million, and its last post-money valuation, in 2017, was $100 million, according to PitchBook.

There are signs that the valuation will have had a bump in this round. The company said in 2018, its bookings have gone up by 423 percent, with revenues up 786 percent, although it’s not disclosing what the actual figures are for either.

“As business travelers have become increasingly mobile, Lola.com’s mission is to completely transform the landscape of corporate travel management,” said Mike Volpe, CEO of Lola.com, who took the top role at the company last year. “The continued support of our investors underscores the market potential, which is leading us to expand our partner ecosystem and double our headcount across engineering, sales and marketing. At the core, we continue to invest in building the best, simplest corporate travel management platform in the industry.”

Co-founded by Paul English and Bill O’Donnell — respectively, the former CTO/co-founder and chief architect of the wildly successful consumer travel booking platform Kayak — Lola originally tried to fix the very thing that Kayak and others like it had disrupted: it was designed as a platform for people to connect to live agents to help them organise their travel. That larger cruise ship might have already said, however (so to speak), and so the company later made a pivot to cater to a more specific demographic in the market that often needs and expects the human touch when arranging logistics: the business user.

Its unique selling point has not been just to provide a pain-free “agile” platform to make bookings, but for the platform’s human agents to be proactively pinging business users when there are modifications to a booking (for example because of flight delays), and offering help when needed to sort out the many aspects of modern travel that can be painful and time consuming for busy working people, such as technical issues around a frequent flyer program.

Lola.com is not the only one to spot the opportunity there. To further diversify its business and to move into higher-margin, bigger-ticket offerings, Airbnb has also been slowly building out its own travel platform targeting business customers by adding in hotels and room bookings.

There are others that are either hoping to bypass or complement existing services with their own takes on how to improve business travel such as TravelPerk (most recent raise: $44 million), Travelstop (an Asia-focused spin), and TripActions (most recently valued at $1 billion), to name a few. That speaks to an increasingly crowded market of players that are competing against incumbents like SAP, which owns Concur, Hipmunk and a plethora of other older services.

Lola.com has made some interesting headway in its own approach to the market, by partnering with one of the names most synonymous with corporate spending, American Express, and specifically a JV it is involved in called American Express Global Business Travel.

“Lola.com offers an incredibly simple solution to corporate travel management, which enables American Express Global Business Travel to take our value proposition to even more companies across the middle market,” said Evan Konwiser, VP of Product Strategy and Marketing for American Express GBT, in a statement.

Adobe and Salesforce announce Customer Data Platforms to pull data into single view

Marketing analytics is an increasingly complex business. It’s meant to collect as much information as possible across multiple channels from multiple tools and provide marketers with as complete a picture of their customers and their experience in dealing with you as possible. Perhaps not coincidentally, Adobe, which is holding its Adobe Summit this week in Las Vegas, and Salesforce both made Customer Data Platform (CDP) announcements this week.

The Customer Data Platform is a complex construct, but it’s basically a marketer’s dream, a central database that pulls customer data from variety of channels and disparate data sources to give marketeers deep insight into their customers, all with the hope of gathering enough data to serve the perfect experience. As always the ultimate goal is happy repeat customers, who build brand loyalty.

It always comes down to experience for marketers these days and that involves serving up the right kind of experience. You don’t want the first-time visitor to have the same experience as a loyal customer. You don’t want a business customer to have the same experience as the consumer. All of that takes lots and lots of information, and when you want to make those experiences even more personalized in real-time, it’s a tough problem to solve.

Part of the problem is that customers are working across multiple channels and marketers are using multiple tools from a variety of vendors. When you combine those two problems, it’s hard to collect all of the data on a given customer.

The process is a bit like boiling the ocean and to complicate matters even further it involves anonymized data and non-anonymized data about customers being stored in the same database. Imagine those two elements being hacked. It wouldn’t be pretty, which is just one reason that these kinds of platforms are so difficult to build.

Yet the promise of having a central data hub like this is so tantalizing, and the amount of data growing so quickly, that having a tool to help pull it all together could have great utility for marketers. Armed with this kind of information, it could enable marketers to build what Salesforce’s Bob Stutz called “hyper-targeted messages” in a blog post yesterday.

Stutz used that same blog post to announce Salesforce’s CDP offering, which is not the same as the Customer 360 product announced at Dreamforce last year, although you would be forgiven for confusing the two. “Salesforce Customer 360 helps companies easily connect and resolve customer data across Salesforce and 3rd party applications with a single customer ID. Our Customer Data Platform builds on this unified identity foundation to deliver a “single view of the customer” for marketing professionals,” Stutz wrote.

Adobe, which announced its CDP use case today, sees it in somewhat similar terms, but its approach is different, says Matt Skinner, product marketing manager for the Adobe Audience Manager product. For starters, it’s powered by the Adobe Experience Platform and “brings together known and unknown data to activate real-time customer profiles across channels throughout the customer journey,” Skinner said. In addition, he says it can use AI to help build these experiences and augment marketer ideas.

Both companies have to pull in data from their own systems, as well as external systems to make this work. That kind of integration problem is one of the reasons that Salesforce bought Mulesoft last year for $6.5 billion, but Skinner says that Adobe is taking its own open API approach to the problem.”Adobe’s platform is open and extensible with APIs and an extensive partner ecosystem, so data and applications can really come from anywhere,” he said.

Regardless, both vendors are working hard to make this happen, and it will be interesting to see how each one plays to its strengths to bring this data together. It’s clearly going to be a huge data integration and security challenge, and both companies will have to move carefully to protect the data as they build this kind of system.

Adobe announces two new analytics tools to help marketers fill in the customer picture

Today at Adobe Summit in Las Vegas, Adobe announced some enhancements to its Analytics Suite that are supposed to help marketers understand their customers more deeply, including a new tool to track the entire customer journey, and one to help see the relationship between advertising and marketing success, which is surprisingly harder than you would think to understand.

The first is called Journey IQ, and as the name suggests, the idea is to provide a better understanding of the entire customer journey. That in itself isn’t new. It’s a task that marketing analytics vendors have been trying to solve for more than 10 years.

John Bates, director of product marketing for Adobe Analytics, says that understanding the customer journey can help focus marketing efforts in the future, and this tool is designed to help. “It’s really focused on helping find a complete view of a past experience and helping separate those good experiences or moments from the bad,” he explained.

Adobe wants to provide actionable data and analysis to help users understand what happened as their customers engaged with their site, in order to provide better experiences in the future. For marketing vendors, it’s always about the experience and the more data focused on understanding that experience, the more vendors believe their customers will have greater success.

This solution involves looking at elements like churn analysis, time-lapsed analysis to follow the journey step by step and look back and look forward kinds of analytics, all with a goal of giving marketers as much information as they can to turn that visit into positive action in the future. For marketers, that means you end the journey next time by buying (more) stuff.

The second piece is Adobe Advertising Cloud, a new product which allows marketers to see the connection between their advertising and the success of their marketing campaigns. Given the insight digital advertising is supposed to provide marketers about the ads they are serving, you would think they would be getting that already, but advertising and marketing often operate in technology silos making it hard to put the data together to see the big picture.

Adobe wants to help marketers see the connections between the ads they are serving customers and the actions the customers take when they come to the company web site. It can help give insight and understanding in to how effectively your advertising strategy is translating into consumer action.

Taken together, these two analytics tools are designed to help marketers understand how and why the customer came to the site, what actions they took when they got there, and give deeper insight into why they took an action or not.

In a world where it’s all about building positive customer experiences with the goal of driving more sales and more satisfied customers, understanding these kinds of relationships can be crucial, but keep in mind it’s challenging to understand all of this as it’s happening, even with tools like these.

Adobe launches its Commerce Cloud, based on its Magento acquisition

Adobe today announced the launch of its Commerce Cloud, the newest part of the company’s Experience Cloud. Unsurprisingly, the Commerce Cloud builds on the company’s $1.68 billion acquisition of Magento last May. Indeed, at its core, the Adobe Commerce Cloud is essentially a fully managed cloud-based version of the Magento platform that is fully integrated with the rest of Adobe’s tools, including its Analytics Cloud, Marketing Cloud and Advertising Cloud.

With this launch, Adobe is also extending the platform by adding new features like dashboards for keeping an eye on a company’s e-commerce strategy and, for the first time, an integration with the Amazon marketplace from which users will be able to directly manage within the Commerce Cloud interface.

“For Adobe, that’s really important because it actually closes the last mile in its Experience offering,” said Jason Woosley, Adobe’s VP of its commerce product and platform and Magento’s former VP of product and technology. “It’s no mystery that they’ve been looking at commerce offerings in the past. We’re just super glad that they settled on us.”

Woosley also stressed that this new product isn’t just about closing the last mile for Adobe from a commerce perspective but also from a data intelligence perspective.”If you think about behavioral data you get from your interactions with our content, that’s all very critical for understanding how your customers are interacting with your brand,” he said. “But now that we’ve got a commerce offering, we are actually able to put the dollars and cents behind that.”

Adobe notes that this new offering also means that Magento users won’t have to worry about the operational aspects of running the service themselves. To ensure that it can manage this for these customers, the company has tweaked the service to be flexible and scalable on its platform.

Woosley also stressed the importance of the Amazon integration that launches with the Commerce Cloud. “Love it or hate it,” he said of Amazon. “Either you are comfortable participating in those marketplaces or you are not, but at the end of the day, they are capturing more and more of the initial product search.” Commerce Cloud users will be able to pick and choose which parts of their inventory will appear on Amazon and at what prices. Plenty of brands, after all, only want to showcase a selection of their products on Amazon to drive their brand awareness and then drive customers back to their own e-commerce stores.

It’s worth noting that all of the usual Magento extensions will work on the Adobe Commerce Cloud. That’s important given that there are more than 350,000 developers in the Magento ecosystem, plus thousands of partners. With that, the Commerce Cloud can cover quite a few use cases that wouldn’t be important enough for Adobe itself to put its own resources behind but that make the platform attractive for a wider range of potential users.

Adobe to acquire Magento for $1.68B

Vlocity nabs $60M Series C investment on $1B valuation

As we wrote last week in How Salesforce paved the way for the SaaS platform approach, the ability to build extensions, applications and even whole companies on top of the Salesforce platform set the stage and the bar for every SaaS company since. Vlocity certainly recognized that. Targeting five verticals, it built industry-specific CRM solutions on the Salesforce platform, and today it announced a $60 million Series C round on a fat unicorn $1 billion valuation.

The round was led by Sutter Hill Ventures and Salesforce Ventures. New investors Bessemer Venture Partners and existing strategic investors Accenture and New York Life also participated. The company has now raised $163 million.

Company co-founder Craig Ramsey whose extensive career includes stints with Siebel Systems, Oracle and Veeva Systems, says he and his co-founders wanted to take the idea of Veeva, which is a life sciences-focused company built on top of Salesforce, and extend that idea across five verticals, instead of just one. Those five verticals include communications and media, insurance and financial services, health, energy and utilities and government and non-profits.

The idea he said was to build a company with a market that was 10x the size of life sciences. “What we’re doing now is building five Veevas at once. If you could buy a product already tailored to the needs of your industry why wouldn’t you do that,” Ramsey said.

The theory seems to be working. He says that the company, which was founded in 2014, has already reached $100 million in revenue and expects to double that by the end of this year. Then of course, there is the unicorn valuation. While perhaps not as rare as it once was, reaching the $1 billion level is still a significant milestone for a startup.

In the Salesforce platform story, co-founder and CTO Parker Harris addressed the need for solutions like the ones from Veeva and Vlocity. “…Harris said they couldn’t build one Salesforce for healthcare and another for insurance and a third one for finance. “We knew that wouldn’t scale, and so the platform [eventually] just evolved out of this really close relationship with our customers and the needs they had,” he told TechCrunch. In other words, Salesforce made the platform flexible enough for companies like these to fill in the blanks.

“Vlocity is a perfect example of the incredible innovation occurring in the Salesforce ecosystem and how we are working together to provide customers in all industries the technologies they need to attract and serve customers in smarter ways,” Jujhar Singh, EVP and GM for Salesforce Industries said in a statement.

It’s also telling that of the three strategic investors in this round — New York Life, Accenture and Salesforce Ventures — Salesforce is the biggest investor, according to Ramsey.

The company has 150 customers including investor New York Life, Verizon (which owns this publication), Cigna and the City of New York. It already has 700 employees in 20 countries. With this additional investment, you can expect those numbers to increase.

“What this Series C round allows us to do is to really put the gas on investing in product development, because verticals are all about going deep,” Ramsey said.

How Salesforce paved the way for the SaaS platform approach

Veeva defied detractors when it launched a cloud life sciences biz a decade ago

Scalyr launches PowerQueries for advanced log management

Log management service Scalyr today announced the beta launch of PowerQueries, its new tools for letting its users create advanced search operations as they manage their log files and troubleshoot potential issues. The new service allows users to perform complex actions to group, transform, filter and sort their large data sets, as well as to create table lookups and joins. The company promises that these queries will happen just as fast as Scalyr’s standard queries and that getting started with these more advanced queries is pretty straightforward.

Scalyr founder and chairman Steve Newman argues that the company’s competitors may offer similar tools, but that ” their query languages are too complex, hard-to-learn and hard-to-use.” He also stressed that Scalyr made a conscious decision not to use any machine learning tools to power this and its other services to help admins and developers prioritize issues and instead decided to focus on its query language and making it easier for its users to manage their logs that way.

“So we thought about how we could leverage our strengths — real-time performance, ease-of-use and scalability — to provide similar but better functionality,” he said in today’s announcement. “As a result, we came up with a set of simple but powerful queries that address advanced use cases while improving the user experience dramatically. Like the rest of our solution, our PowerQueries are fast, easy-to-learn and easy-to-use.”

Current Scalyr customers cover a wide range of verticals. They include the likes of NBC Universal, Barracuda Networks, Spiceworks, John Hopkins University, Giphy, OKCupid and Flexport. Currently, Scalyr has over 300 paying customers. As Newman stressed, more than 4,500 employees from these customers regularly use the service. He attributes this to the fact that it’s relatively easy to use, thank’s to Scalyr’s focus on usability.

The company raised it’s last funding round — a $20 million Series A round — back in 2017. As Scalyr’s newly minted CEO Christine Heckart told me, though, the company is currently seeing rapid growth and has quickly added headcount in recent months to capitalize on this opportunity. Given this, I wouldn’t be surprised if we saw Scalyr raise another round in the not-so-distant future, especially considering that the log management market itself is also rapidly growing (and has changed quite a bit since Scalyr launched back in 2011) as more companies start their own digital transformation projects, which often allows them to replace some of their legacy IT tools with more modern systems.

 

Alibaba acquires Israeli VR startup Infinity Augmented Reality

Infinity Augmented Reality, an Israeli virtual reality startup, has been acquired by Alibaba, the companies announced this weekend. The deal’s terms were not disclosed. Alibaba and InfinityAR have had a strategic partnership since 2016, when Alibaba Group led InfinityAR’s Series C. Since then, the two have collaborated on augmented reality, computer vision and artificial intelligence projects.

Founded in 2013, the startup’s augmented glasses platform enables developers in a wide range of industries (retail, gaming, medical, etc.) to integrate AR into their apps. InfinityAR’s products include software for ODMs and OEMs and a SDK plug-in for 3D engines.

Alibaba’s foray into virtual reality started three years ago, when it invested in Magic Leap and then announced a new research lab in China to develop ways of incorporating virtual reality into its e-commerce platform.

InfinityAR’s research and development team will begin working out of Alibaba’s Israel Machine Laboratory, part of Alibaba DAMO Academy, the R&D initiative it is pouring $15 billion into with the goal of eventually serving two billion customers and creating 100 million jobs by 2036. DAMO Academy collaborates with universities around the world and Alibaba’s Israel Machine Laboratory has a partnership with Tel Aviv University focused on video analysis and machine learning.

In a press statement, the laboratory’s head, Lihi Zelnik-Manor, said “Alibaba is delighted to be working with InfinityAR as one team after three years of partnership. The talented team brings unique knowhow in sensor fusion, computer vision and navigation technologies. We look forward to exploring these leading technologies and offering additional benefits to customers, partners and developers.”

How Salesforce paved the way for the SaaS platform approach

When we think of enterprise SaaS companies today, just about every startup in the space aspires to be a platform. That means they want people using their stack of services to build entirely new applications, either to enhance the base product, or even build entirely independent companies. But when Salesforce launched Force.com, the company’s Platform as a Service in 2007, there wasn’t any model.

It turns out that Force.com was actually the culmination of a series of incremental steps after the launch of the first version of Salesforce in February, 2000, all of which were designed to make the software more flexible for customers. Company co-founder and CTO Parker Harris says that they didn’t have this goal to be a platform early on. “We were a solution first, I would say. We didn’t say let’s build a platform and then build sales-force automation on top of it. We wanted a solution that people could actually use,” Harris told TechCrunch.

The march toward becoming a full-fledged platform started with simple customization. That first version of Salesforce was pretty basic, and the company learned over time that customers didn’t always use the same language it did to describe customers and accounts — and that was something that would need to change.

Customizing the product