Aug
21
2018
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Semmle, startup that makes code searchable, hauls in $21M Series B

Semmle, a startup that originally spun out of research at Oxford, announced a $21 million Series B investment today led by Accel Partners. It marked the second time Accel has led an investment in the company.

Work-Bench also participated in the round. Today’s investment brings the total to $31 million.

Semmle has warranted this kind of interest by taking a unique approach to finding vulnerabilities in code. “The key idea behind our technology is to treat code as data and treat analysis problems as simple queries against a database. What this allows you to do is very easily encode domain expertise, security expertise or any other kinds of specialist knowledge in such a way it can be easily and automatically applied to large amounts of code,” Pavel Avgustinov, Semmle co-founder and VP of platform engineering told TechCrunch.

Screenshot: Semmle

Once you create the right query, you can continuously run it against your code to prevent the same mistakes from entering the code base on subsequent builds. The key here is building the queries and the company has a couple of ways to deal with that.

They can work with customers to help them create queries, although in the long run that is not a sustainable way of working. Instead, they share queries, and encourage customers to share them with the community.

“What we find is that the great tech companies we work with have the best security teams in the world, and they are giving back what they created on the Semmle platform with other users in an open source fashion. There is a GitHub repository where we publish queries, but Microsoft and Google are doing the same thing,” Oege de Moor, company CEO and co-founder explained.

In fact, the Semmle solution is freely available to open source programmers to use with their applications, and the company currently analyzes every commit of almost 80,000 open source projects. Open source developers can run shared queries against their code or create their own.

They also have a paid version with customers like Microsoft, Google, Credit Suisse, NASA and Nasdaq. They have relied mostly on these strategic partners up until now. With today’s investment they plan to build out their sales and marketing departments to expand their customer base into a wider enterprise market.

The company spun out of research at Oxford University in 2006. They are now based in San Francisco with 60 employees, a number that should go up with this investment. They received an $8 million Series A in 2014 and $2 million seed round in 2011.

Aug
15
2018
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Twistlock snares $33 million Series C investment to secure cloud native environments

As the world shifts to a cloud native approach, the way you secure applications as they get deployed is changing too. Twistlock, a company built from the ground up to secure cloud native environments, announced a $33 million Series C round today led by Iconiq Capital.

Previous investors YL Ventures, TenEleven, Rally Ventures, Polaris Partners and Dell Technologies Capital also participated in the round. The company reports it has received a total of $63 million in venture investment to date.

Twistlock is solving a hard problem around securing containers and serverless, which are by their nature ephemeral. They can live for fractions of seconds making it hard track problems when they happen. According to company CEO and co-founder Ben Bernstein, his company came out of the gate building a security product designed to protect a cloud-native environment with the understanding that while containers and serverless computing may be ephemeral, they are still exploitable.

“It’s not about how long they live, but about the fact that the way they live is more predictable than a traditional computer, which could be running for a very long time and might have humans actually using it,” Bernstein said.

Screenshot: Twistlock

As companies move to a cloud native environment using Dockerized containers and managing them with Kubernetes and other tools, they create a highly automated system to deal with the deployment volume. While automation simplifies deployment, it can also leave companies vulnerable to host of issues. For example, if a malicious actor were to get control of the process via a code injection attack, they could cause a lot of problems without anyone knowing about it.

Twistlock is built to help prevent that, while also helping customers recognize when an exploit happens and performing forensic analysis to figure out how it happened.

It’s not a traditional Software as a Service as we’ve come to think of it. Instead, it is a service that gets installed on whatever public or private cloud that the customer is using. So far, they count just over 200 customers including Walgreens and Aetna and a slew of other companies you would definitely recognize, but they couldn’t name publicly.

The company, which was founded in 2015, is based in Portland, Oregon with their R&D arm in Israel. They currently have 80 employees. Bernstein said from a competitive standpoint, the traditional security vendors are having trouble reacting to cloud native, and while he sees some startups working at it, he believes his company has the most mature offering, at least for now.

“We don’t have a lot of competition right now, but as we start progressing we will see more,” he said. He plans to use the money they receive today to help expand their marketing and sales arm to continue growing their customer base, but also engineering to stay ahead of that competition as the cloud-native security market continues to develop.

Aug
15
2018
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To fight the scourge of open offices, ROOM sells rooms

Noisy open offices don’t foster collaboration, they kill it, according to a Harvard study that found the less-private floor plan led to a 73 percent drop in face-to-face interaction between employees and a rise in emailing. The problem is plenty of young companies and big corporations have already bought into the open office fad. But a new startup called ROOM is building a prefabricated, self-assembled solution. It’s the IKEA of office phone booths.

The $3,495 ROOM One is a sound-proofed, ventilated, powered booth that can be built in new or existing offices to give employees a place to take a video call or get some uninterrupted time to focus on work. For comparison, ROOM co-founder Morten Meisner-Jensen says, “Most phone booths are $8,000 to $12,000. The cheapest competitor to us is $6,000 — almost twice as much.” Though booths start at $4,500 from TalkBox and $3,995 from Zenbooth, they tack on $1,250 and $1,650 for shipping, while ROOM ships for free. They’re all dividing the market of dividing offices.

The idea might seem simple, but the booths could save businesses a ton of money on lost productivity, recruitment and retention if it keeps employees from going crazy amidst sales call cacophony. Less than a year after launch, ROOM has hit a $10 million revenue run rate thanks to 200 clients ranging from startups to Salesforce, Nike, NASA and JP Morgan. That’s attracted a $2 million seed round from Slow Ventures that adds to angel funding from Flexport CEO Ryan Petersen. “I am really excited about it since it is probably the largest revenue-generating company Slow has seen at the time of our initial Seed stage investment,” says partner Kevin Colleran.

“It’s not called ROOM because we build rooms,” Meisner-Jensen tells me. “It’s called ROOM because we want to make room for people, make room for privacy and make room for a better work environment.”

Phone booths, not sweatboxes

You might be asking yourself, enterprising reader, why you couldn’t just go to Home Depot, buy some supplies and build your own in-office phone booth for way less than $3,500. Well, ROOM’s co-founders tried that. The result was… moist.

Meisner-Jensen has design experience from the Danish digital agency Revolt that he started before co-founding digital book service Mofibo and selling it to Storytel. “In my old job we had to go outside and take the call, and I’m from Copenhagen, so that’s a pretty cold experience half the year.” His co-founder Brian Chen started Y Combinator-backed smart suitcase company Bluesmart, where he was VP of operations. They figured they could attack the office layout issue with hammers and saws. I mean, they do look like superhero alter-egos.

Room co-founders (from left): Brian Chen and Morten Meisner-Jensen

“To combat the issues I myself would personally encounter with open offices, as well as colleagues, we tried to build a private ‘phone booth’ ourselves,” says Meisner-Jensen. “We didn’t quite understand the specifics of air ventilation or acoustics at the time, so the booth got quite warm — warm enough that we coined it ‘the sweatbox.’ ”

With ROOM, they got serious about the product. The 10-square-foot ROOM One booth ships flat and can be assembled in less than 30 minutes by two people with a hex wrench. All it needs is an outlet to power its light and ventilation fan. Each is built from 1088 recycled plastic bottles for noise cancelling, so you’re not supposed to hear anything from outside. The box is 100 percent recyclable, plus it can be torn down and rebuilt if your startup implodes and you’re being evicted from your office.

The ROOM One features a bar-height desk with outlets and a magnetic bulletin board behind it, though you’ll have to provide your own stool. It’s actually designed not to be so comfy that you end up napping inside, which doesn’t seem like it’d be a problem with this somewhat cramped spot. “To solve the problem with noise at scale you want to provide people with space to take a call but not camp out all day,” Meisner-Jensen notes.

Booths by Zenbooth, Cubicall and TalkBox (from left)

A place to get into flow

Couldn’t office managers just buy noise-cancelling headphones for everyone? “It feels claustrophobic to me,” he laughs, but then outlines why a new workplace trend requires more than headphones. “People are doing video calls and virtual meetings much, much more. You can’t have all these people walking by you and looking at your screen. [A booth is] also giving you your own space to do your own work, which I don’t think you’d get from a pair of Bose. I think it has to be a physical space.”

But with plenty of companies able to construct physical spaces, it will be a challenge for ROOM to convey the subtleties of its build quality that warrant its price. “The biggest risk for ROOM right now are copycats,” Meisner-Jensen admits. “Someone entering our space claiming to do what we’re doing better but cheaper.” Alternatively, ROOM could lock in customers by offering a range of office furniture products. The co-founder hinted at future products, saying ROOM is already receiving demand for bigger multi-person prefab conference rooms and creative room divider solutions.

The importance of privacy goes beyond improved productivity when workers are alone. If they’re exhausted from overstimulation in a chaotic open office, they’ll have less energy for purposeful collaboration when the time comes. The bustle could also make them reluctant to socialize in off-hours, which could lead them to burn out and change jobs faster. Tech companies in particular are in a constant war for talent, and ROOM Ones could be perceived as a bigger perk than free snacks or a ping-pong table that only makes the office louder.

“I don’t think the solution is to go back to a world of cubicles and corner offices,” Meisner-Jensen concludes. It could take another decade for office architects to correct the overenthusiasm for open offices despite the research suggesting their harm. For now, ROOM’s co-founder is concentrating on “solving the issue of noise at scale” by asking, “How do we make the current workspaces work in the best way possible?”

Aug
09
2018
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Blissfully grabs $3.5 million seed investment to help companies get their SaaS in gear

Blissfully, a New York City startup that helps companies understand their SaaS usage inside their organizations, announced it has received a $3.5 million seed round.

The investment was led by Hummer Winblad Venture Partners. Hubspot, Founder Collective, and several unnamed pre-seed investors also participated. They got a $1.5 million pre-seed investment, bringing the total so far to $5 million, according the company.

Company co-founder and CEO Ariel Diaz says Blissfully actually helped him and his co-founder solve a problem they were having tracking the SaaS usage at their previous startups. Like many companies, they were using spreadsheets to track this information and they found it was untenable as the company grew beyond 30 or 40 people. They figured there had to be a better way, so they built one.

Their product is much more than simply a database of the SaaS products in use inside an organization. It can integrate with existing company systems like single sign-on tools such as Okta and OneLogIn, financial reporting systems and G Suite login information. “We are trying to automate as much of the data collection as possible to discover what you’re using, who’s using it and how much you are spending,” he said.

Blissfully SaaS report. Screenshot: Blissfully

Their scans often turn up products customers thought they had canceled or those that IT had asked employees to stop using. More than finding Shadow IT, the product also gives insight to overall SaaS spend, which many companies have trouble getting a grip on. They can find most usage with a scan. Some data such as customized contract information may have to be manually entered into the system, he says.

Hubspot CEO Brian Halligan, whose company is one of the investors in this round, sees a growing need for this kind of tool. “The widespread growth of SaaS across companies of all sizes is a leading indicator of the market need for Blissfully. As business’ investments in SaaS increase, they lose visibility into issues ranging from spending to security,” Halligan said in a statement.

The company offers a freemium and pay model and is available in the G Suite Marketplace. If you go for the free version, you can scan your systems for SaaS usage, but if you want to do more complex integrations with company systems, you have to pay. They currently have 10 employees and 500 customers with a mix of paying and free.

One interesting aspect of the Blissfully tool is that it is built entirely using Serverless architecture on AWS Lambda.

Aug
07
2018
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Slack is raising $400M+ with a post-money valuation of $7B or more

Slack — the app that lets coworkers and others in professional circles chat with each other and call in data from hundreds of integrated apps in the name of getting more work done (or at least procrastinating in an entertaining way) — has been on a growth tear in the last few years, most recently passing 8 million daily active users, 3 million of them paying. Now, the company is planning to capitalise on that with some more funding.

TechCrunch has learned that Slack is raising another round, this time in the region of $400 million or possibly more, with a post-money valuation of at least $7 billion — adding a whopping $2 billion on top of the company’s last valuation in September 2017, when SoftBank led a $250 million round at a $5.1 billion valuation.

We’ve heard from multiple sources that a new investor, General Atlantic, is leading this round, with possibly another new backer, Dragoneer, also in the mix. It’s not clear which other investors might be involved; the company counts no less than 41 other backers on its cap table already, according to PitchBook. (You might even say Several People Are Funding…) We also don’t know whether this round has closed.

At $400 million, this would make it Slack’s biggest round to date. That size underscores a few different things.

First, it points to the existing opportunity in enterprise messaging. Consumerisation has taken hold, and apps that let users easily start and carry on a mix of serious and diverting conversations, infused with GIFs or whatever data they might need from other applications, are vying to replace other ways that people communicate in the workplace, such as email, phone conferences and in-person chats, even when people are in the same vicinity as each other. With consumer messaging apps like WhatsApp topping 1.5 billion users, there’s plenty of room for enterprise messaging to grow.

Second, the round and valuation emphasize Slack’s position as a leader in this area. While there were other enterprise social networking apps in existence before Slack first launched in 2013 — Yammer, Hipchat and Socialcast among them — nothing had struck a chord quite as Slack did. “Things have been going crazy”, was how co-founder and CEO Stewart Butterfield described it to me when Slack exited beta: teams trialling it were seeing usage from “every single team member, every day.”

That growth pace has continued. Today, the company counts 70,000 paid teams including Capital One, eBay, IBM, 21st Century Fox, and 65 percent of Fortune 100 companies among its bigger users; and with customers in 100 countries, half of its DAUs are outside North America (UK, Japan, Germany, France and India are its biggest international markets).

But thirdly — and this could be key when considering how this funding will be used — Slack is not the only game in town.

Software giant Microsoft has launched Teams, and social networking behemoth Facebook has Workplace. Using their respective dominance in enterprise software and social mechanics, these two have stolen a march on picking up some key customer wins among businesses that have opted for products that are more natural fits with what their employees were already using. Microsoft reported 200,000 paying organizations earlier this year, and Facebook has snagged some very large customers like Walmart.

Slack’s bottom-up distribution strategy could give it an edge against these larger companies and their broader but more complex products. The lightweight nature of Slack’s messaging-first approach allows it more easily be inserted into a company’s office stack. Nearly every type of employee needs office messaging, creating the potential for Slack to serve as an identity layer for enterprise software, not to mention the platform where not only people, but the information that exists in separate apps, converges. Its own Slack Fund invests in potential companies that plug in, as the company hopes to build an ecosystem of partners that can fill in missing functionality.

AUSTIN, TX – MARCH 15: Stewart Butterfield, CEO of Slack speaks onstage at ‘Stewart Butterfield in Conversation with Farhad Manjoo’ during the 2016 SXSW Music, Film + Interactive Festival at Austin Convention Center on March 15, 2016 in Austin, Texas. (Photo by Mindy Best/Getty Images for SXSW)

Alongside dozens of other, smaller rivals offering comparative mixes of tools, it’s no surprise that last month Slack tightened up its bootlaces to take on the role of consolidator, snapping up IP and shutting down Hipchat and Stride from Atlassian, with the latter taking a stake in Slack as part of the deal.

Slack, which has a relatively modest 1,000+ employees, has ruled out an IPO this year, so this latest round will help it shore up cash in the meantime to continue growing, and competing.

Contacted for this story, Slack said that it does not comment on rumors or speculation.

Aug
07
2018
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Slack is raising $400M+ with a post-money valuation of $7B or more

Slack — the app that lets coworkers and others in professional circles chat with each other and call in data from hundreds of integrated apps in the name of getting more work done (or at least procrastinating in an entertaining way) — has been on a growth tear in the last few years, most recently passing 8 million daily active users, 3 million of them paying. Now, the company is planning to capitalise on that with some more funding.

TechCrunch has learned that Slack is raising another round, this time in the region of $400 million or possibly more, with a post-money valuation of at least $7 billion — adding a whopping $2 billion on top of the company’s last valuation in September 2017, when SoftBank led a $250 million round at a $5.1 billion valuation.

We’ve heard from multiple sources that a new investor, General Atlantic, is leading this round, with possibly another new backer, Dragoneer, also in the mix. It’s not clear which other investors might be involved; the company counts no less than 41 other backers on its cap table already, according to PitchBook. (You might even say Several People Are Funding…) We also don’t know whether this round has closed.

At $400 million, this would make it Slack’s biggest round to date. That size underscores a few different things.

First, it points to the existing opportunity in enterprise messaging. Consumerisation has taken hold, and apps that let users easily start and carry on a mix of serious and diverting conversations, infused with GIFs or whatever data they might need from other applications, are vying to replace other ways that people communicate in the workplace, such as email, phone conferences and in-person chats, even when people are in the same vicinity as each other. With consumer messaging apps like WhatsApp topping 1.5 billion users, there’s plenty of room for enterprise messaging to grow.

Second, the round and valuation emphasize Slack’s position as a leader in this area. While there were other enterprise social networking apps in existence before Slack first launched in 2013 — Yammer, Hipchat and Socialcast among them — nothing had struck a chord quite as Slack did. “Things have been going crazy”, was how co-founder and CEO Stewart Butterfield described it to me when Slack exited beta: teams trialling it were seeing usage from “every single team member, every day.”

That growth pace has continued. Today, the company counts 70,000 paid teams including Capital One, eBay, IBM, 21st Century Fox, and 65 percent of Fortune 100 companies among its bigger users; and with customers in 100 countries, half of its DAUs are outside North America (UK, Japan, Germany, France and India are its biggest international markets).

But thirdly — and this could be key when considering how this funding will be used — Slack is not the only game in town.

Software giant Microsoft has launched Teams, and social networking behemoth Facebook has Workplace. Using their respective dominance in enterprise software and social mechanics, these two have stolen a march on picking up some key customer wins among businesses that have opted for products that are more natural fits with what their employees were already using. Microsoft reported 200,000 paying organizations earlier this year, and Facebook has snagged some very large customers like Walmart.

Slack’s bottom-up distribution strategy could give it an edge against these larger companies and their broader but more complex products. The lightweight nature of Slack’s messaging-first approach allows it more easily be inserted into a company’s office stack. Nearly every type of employee needs office messaging, creating the potential for Slack to serve as an identity layer for enterprise software, not to mention the platform where not only people, but the information that exists in separate apps, converges. Its own Slack Fund invests in potential companies that plug in, as the company hopes to build an ecosystem of partners that can fill in missing functionality.

AUSTIN, TX – MARCH 15: Stewart Butterfield, CEO of Slack speaks onstage at ‘Stewart Butterfield in Conversation with Farhad Manjoo’ during the 2016 SXSW Music, Film + Interactive Festival at Austin Convention Center on March 15, 2016 in Austin, Texas. (Photo by Mindy Best/Getty Images for SXSW)

Alongside dozens of other, smaller rivals offering comparative mixes of tools, it’s no surprise that last month Slack tightened up its bootlaces to take on the role of consolidator, snapping up IP and shutting down Hipchat and Stride from Atlassian, with the latter taking a stake in Slack as part of the deal.

Slack, which has a relatively modest 1,000+ employees, has ruled out an IPO this year, so this latest round will help it shore up cash in the meantime to continue growing, and competing.

Contacted for this story, Slack said that it does not comment on rumors or speculation.

Jul
30
2018
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A pickaxe for the AI gold rush, Labelbox sells training data software

Every artificial intelligence startup or corporate R&D lab has to reinvent the wheel when it comes to how humans annotate training data to teach algorithms what to look for. Whether it’s doctors assessing the size of cancer from a scan or drivers circling street signs in self-driving car footage, all this labeling has to happen somewhere. Often that means wasting six months and as much as a million dollars just developing a training data system. With nearly every type of business racing to adopt AI, that spend in cash and time adds up.

Labelbox builds artificial intelligence training data labeling software so nobody else has to. What Salesforce is to a sales team, Labelbox is to an AI engineering team. The software-as-a-service acts as the interface for human experts or crowdsourced labor to instruct computers how to spot relevant signals in data by themselves and continuously improve their algorithms’ accuracy.

Today, Labelbox is emerging from six months in stealth with a $3.9 million seed round led by Kleiner Perkins and joined by First Round and Google’s Gradient Ventures.

“There haven’t been seamless tools to allow AI teams to transfer institutional knowledge from their brains to software,” says co-founder Manu Sharma. “Now we have over 5,000 customers, and many big companies have replaced their own internal tools with Labelbox.”

Kleiner’s Ilya Fushman explains that “If you have these tools, you can ramp up to the AI curve much faster, allowing companies to realize the dream of AI.”

Inventing the best wheel

Sharma knew how annoying it was to try to forge training data systems from scratch because he’d seen it done before at Planet Labs, a satellite imaging startup. “One of the things that I observed was that Planet Labs has a superb AI team, but that team had been for over six months building labeling and training tools. Is this really how teams around the world are approaching building AI?,” he wondered.

Before that, he’d worked at DroneDeploy alongside Labelbox co-founder and CTO Daniel Rasmuson, who was leading the aerial data startup’s developer platform. “Many drone analytics companies that were also building AI were going through the same pain point,” Sharma tells me. In September, the two began to explore the idea and found that 20 other companies big and small were also burning talent and capital on the problem. “We thought we could make that much smarter so AI teams can focus on algorithms,” Sharma decided.

Labelbox’s team, with co-founders Ysiad Ferreiras (third from left), Manu Sharma (fourth from left), Brian Rieger (sixth from left) Daniel Rasmuson (seventh from left)

Labelbox launched its early alpha in January and saw swift pickup from the AI community that immediately asked for additional features. With time, the tool expanded with more and more ways to manually annotate data, from gradation levels like how sick a cow is for judging its milk production to matching systems like whether a dress fits a fashion brand’s aesthetic. Rigorous data science is applied to weed out discrepancies between reviewers’ decisions and identify edge cases that don’t fit the models.

“There are all these research studies about how to make training data” that Labelbox analyzes and applies, says co-founder and COO Ysiad Ferreiras, who’d led all of sales and revenue at fast-rising grassroots campaign texting startup Hustle. “We can let people tweak different settings so they can run their own machine learning program the way they want to, instead of being limited by what they can build really quickly.” When Norway mandated all citizens get colon cancer screenings, it had to build AI for recognizing polyps. Instead of spending half a year creating the training tool, they just signed up all the doctors on Labelbox.

Any organization can try Labelbox for free, and Ferreiras claims hundreds have. Once they hit a usage threshold, the startup works with them on appropriate SaaS pricing related to the revenue the client’s AI will generate. One called Lytx makes DriveCam, a system installed on half a million trucks with cameras that use AI to detect unsafe driver behavior so they can be coached to improve. Conde Nast is using Labelbox to match runway fashion to related items in their archive of content.

Eliminating redundancy, and jobs?

The big challenge is convincing companies that they’re better off leaving the training software to the experts instead of building it in-house where they’re intimately, though perhaps inefficiently, involved in every step of development. Some turn to crowdsourcing agencies like CrowdFlower, which has their own training data interface, but they only work with generalist labor, not the experts required for many fields. Labelbox wants to cooperate rather than compete here, serving as the management software that treats outsourcers as just another data input.

Long-term, the risk for Labelbox is that it’s arrived too early for the AI revolution. Most potential corporate customers are still in the R&D phase around AI, not at scaled deployment into real-world products. The big business isn’t selling the labeling software. That’s just the start. Labelbox wants to continuously manage the fine-tuning data to help optimize an algorithm through its entire life cycle. That requires AI being part of the actual engineering process. Right now it’s often stuck as an experiment in the lab. “We’re not concerned about our ability to build the tool to do that. Our concern is ‘will the industry get there fast enough?’” Ferreiras declares.

Their investor agrees. Last year’s big joke in venture capital was that suddenly you couldn’t hear a startup pitch without “AI” being referenced. “There was a big wave where everything was AI. I think at this point it’s almost a bit implied,” says Fushman. But it’s corporations that already have plenty of data, and plenty of human jobs to obfuscate, that are Labelbox’s opportunity. “The bigger question is ‘when does that [AI] reality reach consumers, not just from the Googles and Amazons of the world, but the mainstream corporations?’”

Labelbox is willing to wait it out, or better yet, accelerate that arrival — even if it means eliminating jobs. That’s because the team believes the benefits to humanity will outweigh the transition troubles.

“For a colonoscopy or mammogram, you only have a certain number of people in the world who can do that. That limits how many of those can be performed. In the future, that could only be limited by the computational power provided so it could be exponentially cheaper” says co-founder Brian Rieger. With Labelbox, tens of thousands of radiology exams can be quickly ingested to produce cancer-spotting algorithms that he says studies show can become more accurate than humans. Employment might get tougher to find, but hopefully life will get easier and cheaper too. Meanwhile, improving underwater pipeline inspections could protect the environment from its biggest threat: us.

“AI can solve such important problems in our society,” Sharma concludes. “We want to accelerate that by helping companies tell AI what to learn.”

Jul
24
2018
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Outlier raises $6.2 M Series A to change how companies use data

Traditionally, companies have gathered data from a variety of sources, then used spreadsheets and dashboards to try and make sense of it all. Outlier wants to change that and deliver a handful of insights right to your inbox that matter most for your job, company and industry. Today the company announced a $6.2 million Series A to further develop that vision.

The round was led by Ridge Ventures with assistance from 11.2 Capital, First Round Capital, Homebrew, Susa Ventures and SV Angel. The company has raised over $8 million.

The startup is trying to solve a difficult problem around delivering meaningful insight without requiring the customer to ask the right questions. With traditional BI tools, you get your data and you start asking questions and seeing if the data can give you some answers. Outlier wants to bring a level of intelligence and automation by pointing out insight without having to explicitly ask the right question.

Company founder and CEO Sean Byrnes says his previous company, Flurry, helped deliver mobile analytics to customers, but in his travels meeting customers in that previous iteration, he always came up against the same question: “This is great, but what should I look for in all that data?”

It was such a compelling question that after he sold Flurry in 2014 to Yahoo for more than $200 million, that question stuck in the back of his mind and he decided to start a business to solve it. He contends that the first 15 years of BI was about getting answers to basic questions about company performance, but the next 15 will be about finding a way to get the software to ask good questions based on the huge amounts of data.

Byrnes admits that when he launched, he didn’t have much sense of how to put this notion into action, and most people he approached didn’t think it was a great idea. He says he heard “No” from a fair number of investors early on because the artificial intelligence required to fuel a solution like this really wasn’t ready in 2015 when he started the company.

He says that it took four or five iterations to get to today’s product, which lets you connect to various data sources, and using artificial intelligence and machine learning delivers a list of four or five relevant questions to the user’s email inbox that points out data you might not have noticed, what he calls “shifts below the surface.” If you’re a retailer that could be changing market conditions that signal you might want to change your production goals.

Outlier email example. Photo: Outlier

The company launched in 2015. It took some time to polish the product, but today they have 14 employees and 14 customers including Jack Rogers, Celebrity Cruises and Swarovski.

This round should allow them to continuing working to grow the company. “We feel like we hit the right product-market fit because we have customers [generating] reproducible results and really changing the way people use the data,” he said.

Jul
24
2018
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Rescale reels in $32 million Series B to bring high performance computing to cloud

Rescale, the startup that wants to bring high performance computing to the cloud, announced a $32 million Series B investment today led by Initialized Capital, Keen Venture Partners and SineWave Ventures.

They join a list of well-known early investors that included Sam Altman, Jeff Bezos, Richard Branson, Paul Graham, Ron Conway, Chris Dixon, Peter Thiel and others. Today’s investment brings the total amount raised to $52 million, according to the company.

Rescale works with engineering, aerospace, scientific and other verticals and helps them move their legacy high performance computing applications to the cloud. The idea is to provide a set of high performance computing resources, whether that’s on prem or in the cloud, and help customers tune their applications to get the maximum performance.

Traditionally HPC has taken place on prem in a company’s data center. These companies often have key legacy applications they want to move to the cloud and Rescale can help them do that in the most efficient manner, whether that involves bare metal a virtual machine or a container.

“We help take a portfolio of [legacy] applications running on prem and help enable them in the cloud or in a hybrid environment. We tune and optimize the applications on our platform and take advantage of capital assets on prem, then we help extend that environment to different cloud vendors or tune to best practices for the specific application,” company CEO and co-founder Joris Poort explained.

Photo: Rescale

Ben Verwaayen, who is a partner at one of the lead investors, Keen Venture Partners, sees a company going after a large legacy market with a new approach. “The market is currently 95% on-premise, and Rescale supports customers as they move to hybrid and eventually to a fully cloud native solution. Rescale helps CIOs enable the digital transformation journey within their enterprise, to optimize IT resources and enable meaningful productivity and cost improvements,” Verwaayen said in a statement.

The new influx of cash should help Rescale, well, scale, and that will involve hiring more developers, solutions architects and the like. The company wants to also use the money to expand its presence in Asia and Europe and establish relationships with systems integrators, who would be a good fit for a product like this and help expand their market beyond what they can do as a young startup.

The company, which is based in San Francisco, was founded in 2011 and has 80 employees. They currently have 150 customers including Sikorsky Innovation, Boom Aerospace and Trek Bikes.

Jul
23
2018
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Xage secures $12 million Series A for IoT security solution on blockchain

Xage (pronounced Zage), a blockchain security startup based in Silicon Valley, announced a $12 million Series A investment today led by March Capital Partners. GE Ventures, City Light Capital and NexStar Partners also participated.

The company emerged from stealth in December with a novel idea to secure the myriad of devices in the industrial internet of things on the blockchain. Here’s how I described it in a December 2017 story:

Xage is building a security fabric for IoT, which takes blockchain and synthesizes it with other capabilities to create a secure environment for devices to operate. If the blockchain is at its core a trust mechanism, then it can give companies confidence that their IoT devices can’t be compromised. Xage thinks that the blockchain is the perfect solution to this problem.

It’s an interesting approach, one that attracted Duncan Greatwood to the company. As he told me in December his previous successful exits — Topsy to Apple in 2013 and PostPath to Cisco in 2008 — gave him the freedom to choose a company that really excited him for his next challenge.

When he saw what Xage was doing, he wanted to be a part of it, and given the unorthodox security approach the company has taken, and Greatwood’s pedigree, it couldn’t have been hard to secure today’s funding.

The Industrial Internet of Things is not like its consumer cousin in that it involves getting data from big industrial devices like manufacturing machinery, oil and gas turbines and jet engines. While the entire Internet of Things could surely benefit from a company that concentrates specifically on keeping these devices secure, it’s a particularly acute requirement in industry where these devices are often helping track data from key infrastructure.

GE Ventures is the investment arm of GE, but their involvement is particularly interesting because GE has made a big bet on the Industrial Internet of Things. Abhishek Shukla of GE Ventures certainly saw the connection. “For industries to benefit from the IoT revolution, organizations need to fully connect and protect their operation. Xage is enabling the adoption of these cutting edge technologies across energy, transportation, telecom, and other global industries,” Shukla said in a statement.

The company was founded just last year and is based in Palo Alto, California.

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