Sep
18
2018
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UiPath lands $225M Series C on $3 billion valuation as robotic process automation soars

UiPath is bringing automation to repetitive processes inside large organizations and it seems to have landed on a huge pain point. Today it announced a massive $225 million Series C on a $3 billion valuation.

The round was led by CapitalG and Sequoia Capital. Accel, which invested in the companies A and B rounds also participated. Today’s investment brings the total raised to $408 million, according to Crunchbase, and comes just months after a $153 million Series B we reported on last March. At that time, it had a valuation of over $1 billion, meaning the valuation has tripled in less than six months.

There’s a reason this company you might have never heard of is garnering this level of investment so quickly. For starters, it’s growing in leaps in bounds. Consider that it went from $1 million to $100 million in annual recurring revenue in under 21 months, according to the company. It currently has 1800 enterprise customers and claims to be adding 6 new ones a day, an astonishing rate of customer acquisition.

The company is part of the growing field of robotic process automation or RPA . While the robotics part of the name could be considered a bit of a misnomer, the software helps automate a series of mundane tasks that were typically handled by humans. It allows companies to bring a level of automation to legacy processes like accounts payable, employee onboarding, procurement and reconciliation without actually having to replace legacy systems.

Phil Fersht, CEO and chief analyst at HfS, a firm that watches the RPA market, says RPA isn’t actually that intelligent. “It’s about taking manual work, work-arounds and integrated processes built on legacy technology and finding way to stitch them together,” he told TechCrunch in an interview earlier this year.

It isn’t quite as simple as the old macro recorders that used to record a series of tasks and execute them with a keystroke, but it is somewhat analogous to that approach. Today, it’s more akin to a bot that may help you complete a task in Slack. RPA is a bit more sophisticated moving through a workflow in an automated fashion.

Ian Barkin from Symphony Ventures, a firm that used to do outsourcing, has embraced RPA. He says while most organizations have a hard time getting a handle on AI, RPA allows them to institute fundamental change around desktop routines without having to understand AI.

If you’re worrying about this technology replacing humans, it is somewhat valid, but Barkin says the technology is replacing jobs that most humans don’t enjoy doing. “The work people enjoy doing is exceptions and judgment based, which isn’t the sweet spot of RPA. It frees them from mundaneness of routine,” he said in an interview last year.

Whatever it is, it’s resonating inside large organizations and UiPath, is benefiting from the growing need by offering its own flavor of RPA. Today its customers include the likes of Autodesk, BMW Group and Huawei.

As it has grown over the last year, the number of employees has increased 3x  and the company expects to reach 1700 employees by the end of the year.

Sep
12
2018
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Sisense hauls in $80M investment as data analytics business matures

Sisense, a company that helps customers understand and visualize their data across multiple sources, announced an $80 million Series E investment today led by Insight Venture Partners. They also announced that Zack Urlocker, former COO at Duo Security and Zendesk, has joined the organization’s board of directors.

The company has attracted a prestigious list of past investors, who also participated in the round, including Battery Ventures, Bessemer Venture Partners, DFJ Venture Capital, Genesis Partners and Opus Capital. Today’s investment brings the total raised to close to $200 million.

CEO Amir Orad says investors like their mission of simplifying complex data with analytics and business intelligence and delivering it in whatever way makes sense. That could be on screens throughout the company, desktop or smartphone, or via Amazon Alexa. “We found a way to make accessing data extremely simple, mashing it together in a logical way and embedding it in every logical place,” he explained.

It appears to be resonating. The company has over 1000 customers including Expedia, Oppenheimer and Phillips to name but a few. Orad says they are actually the analytics engine behind Nasdaq Corporate Solutions, which is the the main investor relations system used by CFOs.

He was not in the mood to discuss the company’s valuation, an exercise he called “an ego boost he doesn’t relate to.” He says that he would prefer to be measured by how efficiently he uses the money investors give him or by customer satisfaction scores. Nor would he deal with IPO speculation. All he would say on that front was, “When you focus on the value you bring, positive things happen.”

In spite of that, he was clearly excited about having Urlocker join the board. He says the two spent six months getting to know each other and he sees a guy who has brought several companies to successful exit joining his team, and perhaps someone who can help him bring his company across the finish line, however that ultimately happens. Just last month, Cisco bought Urlocker’s former company, Duo Security for $2.35 billion.

For now Sisense, which launched in 2010, has another $80 million in the bank. They plan to add to the nearly 500 employees already in place in offices in New York, Tel Aviv, Kiev, Tokyo and Arizona. In particular, they plan to grow their international presence more aggressively, especially adding employees to help with customer success and field engineering. Orad also said that he was also open to acquiring companies should the right opportunity come along, saying “Because of talent, technology and presence, it’s something you have to be on lookout for.”

When a company reaches Series E and a couple of hundred million raised, it’s often a point where an exit could be coming sooner than later. By adding an experienced executive like Urlocker, it just emphasizes that possibility, but for now the company appears to be growing and thriving, and taking the view that whatever will be, will be.

Aug
28
2018
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Very Good Security makes data ‘unhackable’ with $8.5M from Andreessen

“You can’t hack what isn’t there,” Very Good Security co-founder Mahmoud Abdelkader tells me. His startup assumes the liability of storing sensitive data for other companies, substituting dummy credit card or Social Security numbers for the real ones. Then when the data needs to be moved or operated on, VGS injects the original info without clients having to change their code.

It’s essentially a data bank that allows businesses to stop storing confidential info under their unsecured mattress. Or you could think of it as Amazon Web Services for data instead of servers. Given all the high-profile breaches of late, it’s clear that many companies can’t be trusted to house sensitive data. Andreessen Horowitz is betting that they’d rather leave it to an expert.

That’s why the famous venture firm is leading an $8.5 million Series A for VGS, and its partner Alex Rampell is joining the board. The round also includes NYCA, Vertex Ventures, Slow Ventures and PayPal mafioso Max Levchin. The cash builds on VGS’ $1.4 million seed round, and will pay for its first big marketing initiative and more salespeople.

“Hey! Stop doing this yourself!,” Abdelkader asserts. “Put it on VGS and we’ll let you operate on your data as if you possess it with none of the liability.” While no data is ever 100 percent unhackable, putting it in VGS’ meticulously secured vaults means clients don’t have to become security geniuses themselves and instead can focus on what’s unique to their business.

“Privacy is a part of the UN Declaration of Human Rights. We should be able to build innovative applications without sacrificing our privacy and security,” says Abdelkader. He got his start in the industry by reverse-engineering games like StarCraft to build cheats and trainer software. But after studying discrete mathematics, cryptology and number theory, he craved a headier challenge.

Abdelkader co-founded Y Combinator-backed payment system Balanced in 2010, which also raised cash from Andreessen. But out-muscled by Stripe, Balanced shut down in 2015. While transitioning customers over to fellow YC alumni Stripe, Balanced received interest from other companies wanting it to store their data so they could be PCI-compliant.

Very Good Security co-founder and CEO Mahmoud Abdelkader

Now Abdelkader and his VP from Balanced, Marshall Jones, have returned with VGS to sell that as a service. It’s targeting startups that handle data like payment card information, Social Security numbers and medical info, though eventually it could invade the larger enterprise market. It can quickly help these clients achieve compliance certifications for PCI, SOC2, EI3PA, HIPAA and other standards.

VGS’ innovation comes in replacing this data with “format preserving aliases” that are privacy safe. “Your app code doesn’t know the difference between this and actually sensitive data,” Abdelkader explains. In 30 minutes of integration, apps can be reworked to route traffic through VGS without ever talking to a salesperson. VGS locks up the real strings and sends the aliases to you instead, then intercepts those aliases and swaps them with the originals when necessary.

“We don’t actually see your data that you vault on VGS,” Abdelkader tells me. “It’s basically modeled after prison. The valuables are stored in isolation.” That means a business’ differentiator is their business logic, not the way they store data.

For example, fintech startup LendUp works with VGS to issue virtual credit card numbers that are replaced with fake numbers in LendUp’s databases. That way if it’s hacked, users’ don’t get their cards stolen. But when those card numbers are sent to a processor to actually make a payment, the real card numbers are subbed in last-minute.

VGS charges per data record and operation, with the first 500 records and 100,000 sensitive API calls free; $20 a month gets clients double that, and then they pay 4 cent per record and 2 cents per operation. VGS provides access to insurance too, working with a variety of underwriters. It starts with $1 million policies that can be much larger for Fortune 500s and other big companies, which might want $20 million per incident.

Obviously, VGS has to be obsessive about its own security. A breach of its vaults could kill its brand. “I don’t sleep. I worry I’ll miss something. Are we a giant honey pot?,” Abdelkader wonders. “We’ve invested a significant amount of our money into 24/7 monitoring for intrusions.”

Beyond the threat of hackers, VGS also has to battle with others picking away at part of its stack or trying to compete with the whole, like TokenEx, HP’s Voltage, Thales’ Vormetric, Oracle and more. But it’s do-it-yourself security that’s the status quo and what VGS is really trying to disrupt.

But VGS has a big accruing advantage. Each time it works with a clients’ partners like Experian or TransUnion for a company working with credit checks, it already has a relationship with them the next time another clients has to connect with these partners. Abdelkader hopes that, “Effectively, we become a standard of data security and privacy. All the institutions will just say ‘why don’t you use VGS?’”

That standard only works if it’s constantly evolving to win the cat-and-mouse game versus attackers. While a company is worrying about the particular value it adds to the world, these intelligent human adversaries can find a weak link in their security — costing them a fortune and ruining their relationships. “I’m selling trust,” Abdelkader concludes. That peace of mind is often worth the price.

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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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
01
2018
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Altru raises $1.3M to improve recruiting with employee videos

Marketers are increasingly looking for social media celebrities and influencers who can promote their products with more authenticity (or at least, the appearance of authenticity) than a traditional ad.

So Altru CEO Alykhan Rehmatullah wondered: Why can’t businesses do something similar with recruiting?

And that’s what Altru is trying to accomplish, powering a page on a company’s website that highlights videos from real employees answering questions that potential hires might be asking. The videos are searchable (thanks to Altru’s transcriptions), and they also can be shared on social media.

The startup was part of the recent winter batch at Techstars NYC, and it’s already working with companies like L’Oréal, Dell and Unilever. Today, Altru is announcing that it’s raised $1.3 million in new funding led by Birchmere Ventures.

Rehmatullah contrasted Altru’s approach with Glassdoor, which he said features “more polarized” content (since it’s usually employees with really good or really bad experiences who want to write reviews) and where companies are often forced to “play defense.”

On Altru, on the other hand, employers can take the informal conversations that often take place when someone’s deciding whether to accept a job and turn them into an online recruiting tool. Over time, Rehmatullah said the platform could expand beyond recruiting to areas like on-boarding new employees.

Since these videos are posted to the company website, with the employees’ name and face attached, they may not always feel comfortable being completely honest, particularly about a company’s flaws. But at least it’s a message coming from a regular person, not the corporate-speak of a recruiter or manager.

Rehmatullah acknowledged that there’s usually “an educational process” involved in making employers more comfortable with this kind of content.

“These conversations are already happening outside your organization,” he said. “In the long-term, candidates expect more authenticity, more transparency, more true experiences.”

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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