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Today, both the U.S. Department of Justice and the Securities and Exchange Commission charged Manish Lachwani, co-founder of mobile app testing company HeadSpin, with fraud. The SEC says he violated antifraud provisions, and the civil penalties it’s seeking include a permanent injunction, a conduct-based injunction, and to bar him for serving as a corporate executive or board member.
The DOJ, which arrested Lachwani earlier, has accused him of one count of wire fraud and one count of securities fraud, and the associated penalties if he’s found guilty are more harsh, including, for wire fraud, a maximum sentence of 20 years in prison and a fine of $250,000. If he’s found guilty of securities fraud, he faces a maximum sentence of 20 years in prison and a fine of $5,000,000.
Both the the SEC and the DOJ say Lachwani — who led the six-year-old company as CEO until May of last year — defrauded investors out of $80 million by falsely claiming that HeadSpin had “achieved strong and consistent growth in acquiring customers and generating revenue” when he was pitching its Series C round to potential backers.
By the SEC’s telling, his fabrications were designed to help secure the round at a so-called unicorn valuation. That apparent plan worked, too, with Palo Alto-based HeadSpin attracting coverage in Forbes in February of last year after Dell Technologies Capital, Iconiq Capital and Tiger Global provided the company with $60 million in Series C funding at a $1.16 billion valuation. Forbes reported at the time that the valuation was double the valuation investors assigned HeadSpin when it closed its Series B round in October 2018.
The SEC also says that Lachwani was looking to enrich himself, saying he did so “by selling $2.5 million of his HeadSpin shares in a fundraising round during which he made misrepresentations to an existing HeadSpin investor.” (It isn’t clear from its complaint whether the SEC is referring to the Series C or an earlier round.)
The two federal complaints suggest that Lachwani’s alleged scheming to inflate HeadSpin’s valuation dates back to “at least 2018,” and the DOJ says it picked up momentum when the company was fundraising in late 2019.
More specifically, the DOJ complaint alleges that “in materials and presentations to potential investors, Lachwani reported false revenue and overstated key financial metrics of the company … he maintained control over operations, sales, and record-keeping, including invoicing, and he was the final decision-maker on what revenue was booked and included in the company’s financial records.”
In the investigation that led to the DOJ’s charges, the FBI discovered “multiple examples” of Lachwani “instructing employees to include revenue from potential customers that inquired but did not engage HeadSpin, from past customers who no longer did business with HeadSpin, and from existing customers whose business was far less than the reported revenue,” says the department.
How far off were these collective calculations? The complaint says that ultimately, Lachwani “provided investors false information that overstated HeadSpin’s annual recurring revenue … by approximately $51 million to $55 million.”
According to the complaint, Lachwani’s fraud unraveled after the company’s board of directors conducted an internal investigation and revised HeadSpin’s valuation down from $1.1 billion to $300 million. Indeed, in August of last year, The Information reported that the company was planning to lower the value of its Series C stock by nearly 80%.
The outlet reported at the time that Lachwani had already been replaced by another executive. That person, according to LinkedIn, is Rajeev Butani, who joined HeadSpin as its chief sales officer early last year.
Nikesh Arora, a former SoftBank president and the current CEO and chairman of Palo Alto Networks, helped lead the internal review as a then-director on the board of HeadSpin, said The Information.
The SEC says its investigation is continuing. The DOJ similarly notes in its announcement that “a complaint merely alleges that crimes have been committed, and all defendants are presumed innocent until proven guilty beyond a reasonable doubt.”
Either way, the outlook doesn’t look very promising right now for Lachwani, who, according to Forbes, previously sold a mobile cloud business to Google and wound up co-founding HeadSpin after Yahoo co-founder Jerry Yang introduced him to Brien Colwell, a former Palantir and Quora engineer who was working at the time on a different startup.
Colwell remains with HeadSpin as its CTO. He has not been named in either the SEC or the DOJ’s complaints relating to HeadSpin.
The company itself, which says it has been cooperating with the government’s investigation, was also not charged.
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Bodo.ai, a parallel compute platform for data workloads, is developing a compiler to make Python portable and efficient across multiple hardware platforms. It announced Wednesday a $14 million Series A funding round led by Dell Technologies Capital.
Python is one of the top programming languages used among artificial intelligence and machine learning developers and data scientists, but as Behzad Nasre, co-founder and CEO of Bodo.ai, points out, it is challenging to use when handling large-scale data.
Bodo.ai, headquartered in San Francisco, was founded in 2019 by Nasre and Ehsan Totoni, CTO, to make Python higher performing and production ready. Nasre, who had a long career at Intel before starting Bodo, met Totoni and learned about the project that he was working on to democratize machine learning and enable parallel learning for everyone. Parallelization is the only way to extend Moore’s Law, Nasre told TechCrunch.
Bodo does this via a compiler technology that automates the parallelization so that data and ML developers don’t have to use new libraries, APIs or rewrite Python into other programming languages or graphics processing unit code to achieve scalability. Its technology is being used to make data analytics tools in real time and is being used across industries like financial, telecommunications, retail and manufacturing.
“For the AI revolution to happen, developers have to be able to write code in simple Python, and that high-performance capability will open new doors,” Totoni said. “Right now, they rely on specialists to rewrite them, and that is not efficient.”
Joining Dell in the round were Uncorrelated Ventures, Fusion Fund and Candou Ventures. Including the new funding, Bodo has raised $14 million in total. The company went after Series A dollars after its product had matured and there was good traction with customers, prompting Bodo to want to scale quicker, Nasre said.
Nasre feels Dell Technologies Capital was “uniquely positioned to help us in terms of reserves and the role they play in the enterprise at large, which is to have the most effective salesforce in enterprise.”
Though he was already familiar with Nasre, Daniel Docter, managing director at Dell Technologies, heard about Bodo from a data scientist friend who told Docter that Bodo’s preliminary results “were amazing.”
Much of Dell’s investments are in the early-stage and in deep tech founders that understand the problem. Docter puts Totoni and Nasre in that category.
“Ehsan fits this perfectly, he has super deep technology knowledge and went out specifically to solve the problem,” he added. “Behzad, being from Intel, saw and lived with the problem, especially seeing Hadoop fail and Spark take its place.”
Meanwhile, with the new funding, Nasre intends to triple the size of the team and invest in R&D to build and scale the company. It will also be developing a marketing and sales team.
The company is now shifting from financing to customer- and revenue-focused as it aims to drive up adoption by the Python community.
“Our technology can translate simple code into the fast code that the experts will try,” Totoni said. “I joined Intel Labs to work on the problem, and we think we have the first solution that will democratize machine learning for developers and data scientists. Now, they have to hand over Python code to specialists who rewrite it for tools. Bodo is a new type of compiler technology that democratizes AI.”
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While the enterprise world likes to talk about “big data”, that term belies the real state of how data exists for many organizations: the truth of the matter is that it’s often very fragmented, living in different places and on different systems, making the concept of analysing and using it in a single, effective way a huge challenge.
Today, one of the big up-and-coming startups that has built a platform to get around that predicament is announcing a significant round of funding, a sign of the demand for its services and its success so far in executing on that.
SingleStore, which provides a SQL-based platform to help enterprises manage, parse and use data that lives in silos across multiple cloud and on-premise environments — a key piece of work needed to run applications in risk, fraud prevention, customer user experience, real-time reporting and real-time insights, fast dashboards, data warehouse augmentation, modernization for data warehouses and data architectures and faster insights — has picked up $80 million in funding, a Series E round that brings in new strategic investors alongside its existing list of backers.
The round is being led by Insight Partners, with new backers Dell Technologies Capital, Hercules Capital; and previous backers Accel, Anchorage, Glynn Capital, GV (formerly Google Ventures) and Rev IV also participating.
Alongside the investment, SingleStore is formally announcing a new partnership with analytics powerhouse SAS. I say “formally” because they two have been working together already and it’s resulted in “tremendous uptake,” CEO Raj Verma said in an interview over email.
Verma added that the round came out of inbound interest, not its own fundraising efforts, and as such, it brings the total amount of cash it has on hand to $140 million. The gives the startup money to play with not only to invest in hiring, R&D and business development, but potentially also M&A, given that the market right now seems to be in a period of consolidation.
Verma said the valuation is a “significant upround” compared to its Series D in 2018 but didn’t disclose the figure. PitchBook notes that at the time it was valued at $270 million post-money.
When I last spoke with the startup in May of this year — when it announced a debt facility of $50 million — it was not called SingleStore; it was MemSQL. The company rebranded at the end of October to the new name, but Verma said that the change was a long time in the planning.
“The name change is one of the first conversations I had when I got here,” he said about when he joined the company in 2019 (he’s been there for about 16 months). “The [former] name didn’t exactly flow off the tongue and we found that it no longer suited us, we found ourselves in a tiny shoebox of an offering, in saying our name is MemSQL we were telling our prospects to think of us as in-memory and SQL. SQL we didn’t have a problem with but we had outgrown in-memory years ago. That was really only 5% of our current revenues.”
He also mentioned the hang up many have with in-memory database implementations: they tend to be expensive. “So this implied high TCO, which couldn’t have been further from the truth,” he said. “Typically we are ⅕-⅛ the cost of what a competitive product would be to implement. We were doing ourselves a disservice with prospects and buyers.”
The company liked the name SingleStore because it is based a conceptual idea of its proprietary technology. “We wanted a name that could be a verb. Down the road we hope that when someone asks large enterprises what they do with their data, they will say that they ‘SingleStore It!’ That is the vision. The north star is that we can do all types of data without workload segmentation,” he said.
That effort is being done at a time when there is more competition than ever before in the space. Others also providing tools to manage and run analytics and other work on big data sets include Amazon, Microsoft, Snowflake, PostgreSQL, MySQL and more.
SingleStore is not disclosing any metrics on its growth at the moment but says it has thousands of enterprise customers. Some of the more recent names it’s disclosed include GE, IEX Cloud, Go Guardian, Palo Alto Networks, EOG Resources, SiriusXM + Pandora, with partners including Infosys, HCL and NextGen.
“As industry after industry reinvents itself using software, there will be accelerating market demand for predictive applications that can only be powered by fast, scalable, cloud-native database systems like SingleStore’s,” said Lonne Jaffe, managing director at Insight Partners, in a statement. “Insight Partners has spent the past 25 years helping transformational software companies rapidly scale-up, and we’re looking forward to working with Raj and his management team as they bring SingleStore’s highly differentiated technology to customers and partners across the world.”
“Across industries, SAS is running some of the most demanding and sophisticated machine learning workloads in the world to help organizations make the best decisions. SAS continues to innovate in AI and advanced analytics, and we partner with companies like SingleStore that share our curiosity about how data and analytics can help organizations reimagine their businesses and change the world,” said Oliver Schabenberger, COO and CTO at SAS, added. “Our engineering teams are integrating SingleStore’s scalable SQL-based database platform with the massively parallel analytics engine SAS Viya. We are excited to work with SingleStore to improve performance, reduce cost, and enable our customers to be at the forefront of analytics and decisioning.”
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When companies need to find manufacturers to build custom parts, it’s not always an easy process, especially during a pandemic. Xometry, a seven-year-old startup based in Maryland, has built an online marketplace where companies can find manufacturers across the world with excess capacity to build whatever they need. Today, the company announced a $75 million Series E investment to keep expanding the platform.
T. Rowe Price Associates led the investment, with participation from new firms Durable Capital Partners LP and ArrowMark Partners. Previous investors also joined the round, including BMW i Ventures, Greenspring Associates, Dell Technologies Capital, Robert Bosch Venture Capital, Foundry Group, Highland Capital Partners and Almaz Capital . Today’s investment brings the total raised to $193 million, according to the company.
Company CEO and co-founder Randy Altschuler says Xometry fills a need by providing a digital way of putting buyers and manufacturers together with a dash of artificial intelligence to put the right combination together. “We’ve created a marketplace using artificial intelligence to power it, and provide an e-commerce experience for buyers of custom manufacturing and for suppliers to deliver that manufacturing,” Altschuler told TechCrunch.
The kind of custom pieces that are facilitated by this platform include mechanical parts for aerospace, defense, automotive, robotics and medical devices — what Altschuler calls mission-critical parts. Being able to put companies together in this fashion is particularly useful during COVID-19 when certain regions might have been shut down.
“COVID has reinforced the need for distributed manufacturing and our platform enables that by empowering these local manufacturers, and because we’re using technology to do it, as COVID has unfolded […] and as continents have shut down, and even specific states in the United States have shut down, our platform has allowed customers to autocorrect and shift work to other locations,” he explained
What’s more, companies could take advantage of the platform to manufacture critical personal protective equipment. “One of the beauties of our platform was when COVID hit customers could come to our platform and suddenly access this tremendous amount of manufacturing capacity to produce this much-needed PPE,” he said.
Xometry makes money by facilitating the sale between the buyer and producer. They help set the price and then make money on the difference between the cost to produce and how much the buyer was willing to pay to have it done.
They have relationships with 5,000 manufacturers located throughout the world and 30,000 customers using the platform to build the parts they need. The company currently has around 350 employees, with plans to use the money to add more to keep enhancing the platform.
Altschuler says from a human perspective, he wants his company to have a diverse workforce because he never wants to see people being discriminated against for whatever reason, but he also says as a company with an international market, having a diverse workforce is also critical to his business. “The more diversity that we have within Xometry, the more we’re able to effectively market to those folks, sell to those folks and understand how they utilize technology. We’re just going to better understand our customer set as we [build a more diverse workforce],” he said.
As a Series E-stage company, Altschuler does not shy away from the IPO question. In fact, he recently brought in new CFO Jim Rallo, who has experience taking a company public. “The market that we operate in is so large, and there’s so many opportunities for us to serve both our customers and our suppliers, and we have to be great for both of them. We need capital to do that, and the public markets can be an efficient way to access that capital and to grow our business, and in the end that’s what we want to do,” he said.
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Krishna Rangasayee, founder and CEO, at SiMa.ai, has 30 years of experience in the semiconductor industry. He decided to put that experience to work in a startup and launched SiMa.ai last year with the goal of building an ultra low-power software and chip solution for machine learning at the edge.
Today he announced a $30 million Series A led by Dell Technologies Capital with help from Amplify Partners, Wing Venture Capital and +ND Capital. Today’s investment brings the total raised to $40 million, according to the company.
Rangasayee says in his years as a chip executive he saw a gap in the machine learning market for embedded devices running at the edge and he decided to start the company to solve that issue.
“While the majority of the market was serviced by traditional computing, machine learning was beginning to make an impact and it was really amazing. I wanted to build a company that would bring machine learning at significant scale to help the problems with embedded markets,” he told TechCrunch.
The company is trying to focus on efficiency, which it says will make the solution more environmentally friendly by using less power. “Our solution can scale high performance at the lowest power efficiency, and that translates to the highest frames per second per watt. We have built out an architecture and a software solution that is at a minimum 30x better than anybody else on the frames per second,” he explained.
He added that achieving that efficiency required them to build a chip from scratch because there isn’t a solution available off the shelf today that could achieve that.
So far the company has attracted 20 early design partners, who are testing what they’ve built. He hopes to have the chip designed and the software solution in Beta in the Q4 timeframe this year, and is shooting for chip production by Q2 in 2021.
He recognizes that it’s hard to raise this kind of money in the current environment and he’s grateful to the investors, and the design partners who believe in his vision. The timing could actually work in the company’s favor because it can hunker down and build product while navigating through the current economic malaise.
Perhaps by 2021 when the product is in production, the market and the economy will be in better shape and the company will be ready to deliver.
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Humio, a startup that has built a modern unlimited logging solution, announced a $20 million Series B investment today.
Dell Technologies Capital led the round with participation from previous investor Accel. Today’s investment brings the total raised to $32 million, according to the company.
Humio co-founder and CEO Geeta Schmidt says the startup wanted to build a solution that would allow companies to log everything, while reducing the overall cost associated with doing that, a tough problem due to the resource and data volume involved. The company deals with customers who are processing multiple terabytes of data per day.
“We really wanted to build an infrastructure where it’s easy to log everything and answer anything in real time. So we built an index-free logging solution which allows you to ask […] ad hoc questions over large volumes of data,” Schmidt told TechCrunch.
They are able to ingest so much data by using streaming technology, says company EVP of sales Morten Gram. “We have this real time streaming engine that makes it possible for customers to monitor whatever they know they want to be looking at. So they can build dashboards and alerts for these [metrics] that will be running in real time,” Gram explained.
What’s more, because the solution enables companies to log everything, rather than pick and choose what to log, they can ask questions about things they might not know, such as an on-going security incident or a major outage, and trace the answer from the data in the logs as the incident is happening.
Perhaps more importantly, the company has come up with technology to reduce the cost associated with processing and storing such high volumes of data. “We have thought a lot about trying to do a lot more with a lot less resources. And so, for example, one of our customers, who moved from a competitor, has gone from 80 servers to 14 doing the same volumes of data,” she said.
Deepak Jeevankumar, managing director and lead investor at Dell Technologies Capital, says that his firm recognized that Humio was solving these issues in a creative and modern way.
“Humio’s team has created a new log analysis architecture for the microservices age. This can support real-time analysis at full-speed ingest, while decreasing cost of storage and analysis by at least an order of magnitude,” he explained. “In a short-period of time, Humio has won the confidence of many Fortune 500 customers who have shifted their log platforms to Humio from legacy, decade-old architectures that do not scale for the cloud world.”
The company’s customers include Netlify, Bloomberg, HP Aruba and Michigan State University. It offers on-prem, cloud and hosted SaaS products. Today, the company also announced it was introducing an unlimited ingest plan for hosted SaaS customers.
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The once-polarizing world of open-source software has recently become one of the hotter destinations for VCs.
As the popularity of open source increases among organizations and developers, startups in the space have reached new heights and monstrous valuations.
Over the past several years, we’ve seen surging open-source companies like Databricks reach unicorn status, as well as VCs who cashed out behind a serious number of exits involving open-source and dev tool companies, deals like IBM’s Red Hat acquisition or Elastic’s late-2018 IPO. Last year, the exit spree continued with transactions like F5 Networks’ acquisition of NGINX and a number of high-profile acquisitions from mainstays like Microsoft and GitHub.
Similarly, venture investment in new startups in the space has continued to swell. More investors are taking shots at finding the next big payout, with annual invested capital in open-source and dev tool startups increasing at a roughly 10% compounded annual growth rate (CAGR) over the last five years, according to data from Crunchbase. Furthermore, attractive returns in the space seem to be adding more fuel to the fire, as open-source and dev tool startups saw more than $2 billion invested in the space in 2019 alone, per Crunchbase data.
As we close out another strong year for innovation and venture investing in the sector, we asked 18 of the top open-source-focused VCs who work at firms spanning early to growth stages to share what’s exciting them most and where they see opportunities. For purposes of length and clarity, responses have been edited and split (in no particular order) into part one and part two of this survey. In part one of our survey, we hear from:
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Silicon is apparently the new gold these days, or so VCs hope.
What was once a no-go zone for venture investors, who feared the long development lead times and high technical risk required for new entrants in the semiconductor field, has now turned into one of the hottest investment areas for enterprise and data VCs. Startups like Graphcore have reached unicorn status (after its $200 million series D a year ago) while Groq closed $52M from the likes of Chamath Palihapitiya of Social Capital fame and Cerebras raised $112 million in investment from Benchmark and others while announcing that it had produced the first trillion transistor chip (and who I profiled a bit this summer).
Today, we have another entrant with another great technical team at the helm, this time with a Santa Clara, CA-based startup called NUVIA. The company announced this morning that it has raised a $53 million series A venture round co-led by Capricorn Investment Group, Dell Technologies Capital (DTC), Mayfield, and WRVI Capital, with participation from Nepenthe LLC.
Despite only getting started earlier this year, the company currently has roughly 60 employees, 30 more at various stages of accepted offers, and the company may even crack 100 employees before the end of the year.
What’s happening here is a combination of trends in the compute industry. There has been an explosion in data and by extension, the data centers required to store all of that information, just as we have exponentially expanded our appetite for complex machine learning algorithms to crunch through all of those bits. Unfortunately, the growth in computation power is not keeping pace with our demands as Moore’s Law slows. Companies like Intel are hitting the limits of physics and our current know-how to continue to improve computational densities, opening the ground for new entrants and new approaches to the field.
There are two halves to the NUVIA story. First is the story of the company’s founders, which include John Bruno, Manu Gulati, and Gerard Williams III, who will be CEO. The three overlapped for a number of years at Apple, where they brought their diverse chip skillsets together to lead a variety of initiatives including Apple’s A-series of chips that power the iPhone and iPad. According to a press statement from the company, the founders have worked on a combined 20 chips across their careers and have received more than 100 patents for their work in silicon.
Gulati joined Apple in 2009 as a micro architect (or SoC architect) after a career at Broadcom, and a few months later, Williams joined the team as well. Gulati explained to me in an interview that, “So my job was kind of putting the chip together; his job was delivering the most important piece of IT that went into it, which is the CPU.” A few years later in around 2012, Bruno was poached from AMD and brought to Apple as well.
Gulati said that when Bruno joined, it was expected he would be a “silicon person” but his role quickly broadened to think more strategically about what the chipset of the iPhone and iPad should deliver to end users. “He really got into this realm of system-level stuff and competitive analysis and how do we stack up against other people and what’s happening in the industry,” he said. “So three very different technical backgrounds, but all three of us are very, very hands-on and, you know, just engineers at heart.”
Gulati would take an opportunity at Google in 2017 aimed broadly around the company’s mobile hardware, and he eventually pulled over Bruno from Apple to join him. The two eventually left Google earlier this year in a report first covered by The Information in May. For his part, Williams stayed at Apple for nearly a decade before leaving earlier this year in March.
The company is being stealthy about exactly what it is working on, which is typical in the silicon space because it can take years to design, manufacture, and get a product into market. That said, what’s interesting is that while the troika of founders all have a background in mobile chipsets, they are indeed focused on the data center broadly conceived (i.e. cloud computing), and specifically reading between the lines, to finding more energy-efficient ways that can combat the rising climate cost of machine learning workflows and computation-intensive processing.
Gulati told me that “for us, energy efficiency is kind of built into the way we think.”
The company’s CMO did tell me that the startup is building “a custom clean sheet designed from the ground up” and isn’t encumbered by legacy designs. In other words, the company is building its own custom core, but leaving its options open on whether it builds on top of ARM’s architecture (which is its intention today) or other architectures in the future.
Outside of the founders, the other half of this NUVIA story is the collective of investors sitting around the table, all of whom not only have deep technical backgrounds, but also deep pockets who can handle the technical risk that comes with new silicon startups.
Capricorn specifically invested out of what it calls its Technology Impact Fund, which focuses on funding startups that use technology to make a positive impact on the world. Its portfolio according to a statement includes Tesla, Planet Labs, and Helion Energy.
Meanwhile, DTC is the venture wing of Dell Technologies and its associated companies, and brings a deep background in enterprise and data centers, particularly from the group’s server business like Dell EMC. Scott Darling, who leads DTC, is joining NUVIA’s board, although the company is not disclosing the board composition at this time. Navin Chaddha, an electrical engineer by training who leads Mayfield, has invested in companies like HashiCorp, Akamai, and SolarCity. Finally, WRVI has a long background in enterprise and semiconductor companies.
I chatted a bit with Darling of DTC about what he saw in this particular team and their vision for the data center. In addition to liking each founder individually, Darling felt the team as a whole was just very strong. “What’s most impressive is that if you look at them collectively, they have a skillset and breadth that’s also stunning,” he said.
He confirmed that the company is broadly working on data center products, but said the company is going to lie low on its specific strategy during product development. “No point in being specific, it just engenders immune reactions from other players so we’re just going to be a little quiet for a while,” he said.
He apologized for “sounding incredibly cryptic” but said that the investment thesis from his perspective for the product was that “the data center market is going to be receptive to technology evolutions that have occurred in places outside of the data center that’s going to allow us to deliver great products to the data center.”
Interpolating that statement a bit with the mobile chip backgrounds of the founders at Google and Apple, it seems evident that the extreme energy-to-performance constraints of mobile might find some use in the data center, particularly given the heightened concerns about power consumption and climate change among data center owners.
DTC has been a frequent investor in next-generation silicon, including joining the series A investment of Graphcore back in 2016. I asked Darling whether the firm was investing aggressively in the space or sort of taking a wait-and-see attitude, and he explained that the firm tries to keep a consistent volume of investments at the silicon level. “My philosophy on that is, it’s kind of an inverted pyramid. No, I’m not gonna do a ton of silicon plays. If you look at it, I’ve got five or six. I think of them as the foundations on which a bunch of other stuff gets built on top,” he explained. He noted that each investment in the space is “expensive” given the work required to design and field a product, and so these investments have to be carefully made with the intention of supporting the companies for the long haul.
That explanation was echoed by Gulati when I asked how he and his co-founders came to closing on this investor syndicate. Given the reputations of the three, they would have had easy access to any VC in the Valley. He said about the final investors:
They understood that putting something together like this is not going to be easy and it’s not for everybody … I think everybody understands that there’s an opportunity here. Actually capitalizing upon it and then building a team and executing on it is not something that just anybody could possibly take on. And similarly, it is not something that every investor could just possibly take on in my opinion. They themselves need to have a vision on their side and not just believe our story. And they need to strategically be willing to help and put in the money and be there for the long haul.
It may be a long haul, but Gulati noted that “on a day-to-day basis, it’s really awesome to have mostly friends you work with.” With perhaps 100 employees by the end of the year and tens of millions of dollars already in the bank, they have their war chest and their army ready to go. Now comes the fun (and hard) part as we learn how the chips fall.
Update: Changed the text to reflect that NUVIA is intending to build on top of ARM’s architecture, but isn’t a licensed ARM core.
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Sumo Logic, a mature security event management startup with a valuation over $1 billion, announced today that it has acquired JASK, a security operations startup that raised almost $40 million. The companies did not share the terms of the deal.
Sumo’s CEO Ramin Sayar says the combined companies give customers a complete security solution. Sumo offers what’s known in industry parlance as a security information and event management (SIEM) tool, while JASK provides a security operations center or SOC (pronounced “sock“). Both are focused on securing workloads in a cloud native environment and can work in tandem.
Sayar says that as companies shift workloads to the cloud they need to reevaluate their security tools. “The interesting thing about the market today is that the traditional enterprises are much more aggressively taking a security-first posture as they start to plan for new workloads in the cloud, let alone workloads that they are migrating. Part of that requires them to evaluate their tools, teams and, more importantly, a lot of their processes that they’ve built in and around their legacy systems as well as their SOC,” he said.
He says that combining the two organizations helps customers moving to the cloud automate a lot of their security requirements, something that’s increasingly important due to the lack of highly skilled security personnel. That means the more that software can do, the better.
“We see a lot of dysfunction in the marketplace and the whole movement towards automation really complements and supplements the gap that we have in the workforce, particularly in terms of security folks. This is what JASK has been trying to do for four-plus years, and it’s what Sumo has been trying to do for nearly 10 years in terms of using various algorithms and machine learning techniques to suppress a lot of false alerts, triage the process and help drive efficiency and more automation,” he said.
JASK CEO and co-founder Greg Martin says the shift to the cloud has also precipitated two major changes in the security space that have driven this growing need for security automation. “The perimeter is disappearing and that fundamentally changes how we have to perform cybersecurity. The second is that the footprint of threats and data are so large now that security operations is no longer a human scalable problem,” he said. Echoing Sayar, he says that requires a much higher level of automation.
JASK was founded in 2015, raising $39 million, according to Crunchbase data. Investors included Battery Ventures, Dell Technologies Capital, TenEleven Ventures and Kleiner Perkins. Its last round was a $25 million Series B led by Kleiner in June 2018.
Deepak Jeevankumar, managing director at Dell Technologies Capital, whose company was part of JASK’s Series A investment and who invests frequently in security startups, sees the two companies joining forces as a strong combination.
“Sumo Logic and JASK have the same mission to disrupt today’s security industry, which suffers from legacy security tools, siloed teams and alert fatigue. Both companies are pioneers in cloud-native security and share the same maniacal customer focus. Sumo Logic is therefore a great culture and product fit for JASK to continue its journey,” Jeevankumer told TechCrunch.
Sumo has raised $345 million, according to the company. It was valued at over $1 billion in its most recent funding round last May, when it raised $110 million.
CRN first reported this deal was in the works in an article on October 22.
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Remediant, a startup that helps companies secure privileged access in a modern context, today announced a $15 million Series A led by Dell Technologies Capital and ForgePoint Capital.
Remediant’s co-founders, Paul Lanzi and Tim Keeler, worked in biotech for years and saw a problem first-hand with the way companies secured privileged access. It was granted to certain individuals in the organization carte blanche, and they believed if you could limit access, it would make the space more secure and less vulnerable to hackers.
Lanzi says they started the company with two core concepts. “The first concept is the ability to assess or detect all of the places where privileged accounts exist and what systems they have access to. The second concept is to strip away all of the privileged access from all of those accounts and grant it back on a just-in-time basis,” Lanzi explained.
If you’re thinking that could get in the way of people who need access to do their jobs, as former IT admins, they considered that. Remediant is based on a Zero Trust model where you have to prove you have the right to access the privileged area. But they do provide a reasonable baseline amount of time for users who need it within the confines of continuously enforcing access.
“Continuous enforcement is part of what we do, so by default we grant you four hours of access when you need that access, and then after that four hours, even if you forget to come back and end your session, we will automatically revoke that access. In that way all of the systems that are protected by SecureOne (the company’s flagship product) are held in this Zero Trust state where no one has access to them on a day-to-day basis,” Lanzi said.
Remediant SecureONE Dashboard (Screenshot: Remediant)
The company has bootstrapped until now, and has actually been profitable, something that’s unusual for a startup at this stage of development, but Lanzi says they decided to take an investment in order to shift gears and concentrate on growth and product expansion.
Deepak Jeevankumar, managing director at investor Dell Technologies Capital, says it’s not easy for security startups to rise above the noise, but he saw something in Remediant’s founders. “Tim and Paul came from the practitioner’s viewpoint. They knew the actual problems that people face in terms of privileged access. So they had a very strong empathy towards the customer’s problem because they lived through it,” Jeevankumar told TechCrunch.
He added that the privileged access market hasn’t really been updated in two decades. “It’s a market ripe for disruption. They are combining the just-in-time philosophy with the Zero Trust philosophy, and are bringing that to the crown jewel of administrative access,” he said.
The company’s tools are installed on the customer’s infrastructure, either on-prem or in the cloud. They don’t have a pure cloud product at the moment, but they have plans for a SaaS version down the road to help small and medium-sized businesses solve the privileged access problem.
Lanzi says they are also looking to expand the product line in other ways with this investment. “The basic philosophies that underpin our technology are broadly applicable. We want to start applying our technology in those other areas as well. So as we think toward a future that looks more like cloud and more like DevOps, we want to be able to add more of those features to our products,” he said.
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