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Elastic acquires build.security for security policy definition and enforcement
Less than a year after raising its $6 million seed funding round, Tel Aviv and Sunnyvale-based startup build.security is being acquired by Elastic. Financial terms of the deal are not being publicly disclosed at this time. The deal is expected to close in Elastic’s Q2 FY22, ending October 31, 2021.
In an email to TechCrunch, Ash Kulkarni, chief product officer at Elastic, said that once the acquisition closes, the build.security technical team will continue as a unit in the Elastic Security organization. Kulkarni added that the acquisition will also become the foundation for a growing Elastic presence in Israel, with Amit Kanfer, co-founder and CEO of build.security, set to become the site lead for the region.
Build.security is focused on security policy management for applications. A core element of the company’s technology approach is the Open Policy Agent (OPA) open-source project, which is part of the Cloud Native Computing Foundation (CNCF), which is also home to Kubernetes. OPA was originally started by startup Styra, which itself has raised $40 million in funding to help build out policy management and authorization technology. Part of OPA is the Rego query language, which is used to structure security and authorization configuration policies.
“We see policy as a fundamental cornerstone of security,” Kulkarni said. “OPA and Rego provide an open, standards-based way to define, manage and enforce policies everywhere.”
Kulkarni noted that security policy technology is complementary to Elastic’s efforts in security and observability. He added that Elastic sees potential for using OPA and the technology that build.security has built on top of OPA to power deployment time, and in the future, build-time security for cloud-native environments.
YL Venture partner John Brennan, who helped to lead the seed round of build.security, sees the acquisition as being a good fit for both companies, as they are both creating solutions for developers that are based on open-source technologies.
“This move by a market leader like Elastic validates the need for transformation in the authorization space,” Brennan said. “This partnership will accelerate build.security’s shift-left vision of efficiently embedding access protection from the start, rather than trying to bolt it on after the fact or, worse, ignoring it completely.”
Elastic is known for its Elastic Stack, which provides Elasticsearch search capability, Logstash log monitoring and Kibana data visualization. In recent years the company has expanded into the security space, acquiring Endgame Security in 2019 for $234 million. On August 3, Elastic announced its Limitless XDR capabilities, which brings together endpoint security with security information and event management (SIEM).
With its new acquisition, Kulkarni said the goal is to go even deeper into security moving toward cloud security enforcement. He explained that after the acquisition closes and as the technology is integrated, users will be able to leverage the Elastic Stack to visualize and manage compliance policies and policy decisions at scale. An initial use-case for the build.security technology will be developing a Kubernetes security and compliance product based on OPA.
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Coralogix logs $55M for its new take on production analytics, now valued at $300M-$400M
Data may be the new oil, but it’s only valuable if you make good use of it. Today, a startup that has built a new kind of production analytics platform for developers, security engineers, and data scientists to track and better understand how data is moving around their networks is announcing a round of funding that underscores the demand for their technology.
Coralogix, which provides stateful streaming services to engineering teams, has picked up $55 million in a Series C round of funding.
The round was led by Greenfield Partners, with Red Dot Capital Partners, StageOne Ventures, Eyal Ofer’s O.G. Tech, Janvest Capital Partners, Maor Investments and 2B Angels also participating.
This Series C is coming about 10 months after the company’s Series B of $25 million, and from what we understand, Coralogix’s valuation is now in the range of $300 million to $400 million, a big jump for the startup, coming on the back of it growing 250% since this time last year, racking up some 2,000 paying customers, with some small teams paying as little as $100/year and large enterprises paying $1.5 million/year.
Previously, Coralogix — founded in Tel Aviv and with an HQ also in San Francisco — had also raised a round of $10 million.
Coralogix got its start as a platform aimed at quality assurance support for R&D and engineering teams. The focus here is on log analytics and metrics for platform engineers, and this still forms a big part of its business today. Added to that, in recent years, Coralogix’s tools are being applied to cloud security services, contributing to a company’s threat intelligence by providing a way to observe data for any inconsistencies that typically might point to a breach or another incident. (It integrates with Alien Vault and others for this purpose.)
The third area that is just picking up now and will be developed further — one of the uses of this investment, in fact — will be to develop how Coralogix is used for business intelligence. This is a particularly interesting area because it plays into how Coralogix is built, to provide analytics on data before it is indexed.
“It’s about high-volume, but low-value data,” Ariel Assaraf, Coralogix’s CEO, said in an interview. “Customers don’t want to store the data [or index it] but want to view it live and visualize it. We are starting to see a use case where business information and our analytics come together for sentiment analysis and other areas.”
There are dozens of strong companies providing tools these days to cover log analytics and data observability, underscoring the general growth and importance of DevOps these days. They include companies like DataDog, Sumo Logic and Splunk.
However, Assaraf believes that what sets his company apart is its approach: Essentially, it has devised a way of observing and analyzing data streams before they get indexed, giving engineers more flexibility to query the data in different ways and glean more insights, faster. The other issue with indexing, he said, is that it impacts latency, which also has a big impact on overall costs for an organization.
For many of Coralogix’s competitors, turning around the nature of the business to focus not first on indexing would be akin to completely rebuilding the business, hard to do at their scale (although this is what Coralogix did when it pivoted as a small company several years ago, which is when Assaraf took on the role of CEO). One company he believes might be more of a direct rival is Confluent.
“I think we will see Confluent getting into observability very soon because they have the streaming capabilities,” he said, “but not the tools we have.” Another potential competitor looming on the horizon: Salesforce, and its potential move into that area, underscores the shifting sands of what is powering enterprise IT investment decisions today.
Salesforce already has Heroku, Slack and Tableau, three major tools developers use for tracking and working with data, Assaraf pointed out, and there were strong rumors of it trying to buy DataDog, “so we definitely see where they are going. For sure, they understand the way things are changing. All the budgets when Salesforce first started were in marketing and sales. Now you sell to IT. Salesforce understands that shift to developers, and so that is where they are going.”
It makes for a very interesting landscape and future for companies like Coralogix, one that investors believe the startup will continue to shape as it has up to now.
“The dramatic shift in digital transformation is generating an explosion of data, which until now has forced enterprises to decide between cost and coverage,” said Shay Grinfeld, managing partner at Greenfield Partners. “Coralogix’s real-time streaming analytics pipeline employs proprietary algorithms to break this tradeoff and generate significant cost savings. Coralogix has built a customer roster that comprises some of the largest and most innovative companies in the world. We’re thrilled to partner with Ariel and the Coralogix team on their journey to reinvent the future of data observability.”
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Accel closes on $3B across three funds as it ramps up global investing
Accel announced Tuesday the close of three new funds totaling $3.05 billion, money that it will be using to back early-stage startups, as well as growth rounds for more mature companies. Notably, the 38-year-old Silicon Valley-based venture firm is doubling down on global investing.
The announcement underscores both the robust confidence investors continue to have for backing startups in the tech sector and the amount of money available to startups these days.
Specifically, today Accel is announcing its 15th early-stage U.S. fund at $650 million; its seventh early-stage European and Israeli fund also at $650 million and its sixth global growth stage fund at $1.75 billion. The latter fund is in addition, and designed to complement, a previously unannounced $2.3 billion global “Leaders” fund that is focused on later-stage investing that Accel closed in December.
Accel expects to invest in about 20 to 30 companies per fund on average, according to Partner Rich Wong. Its average investment in its growth fund will be in the $50 million to $75 million range, and $75 million and $100 million out of its global Leaders fund.
But the firm is also still eager and “excited” to incubate companies, Wong said.
“We’ll still write $500,000 to $1 million seed checks,” he told TechCrunch. “It’s important to us to work with companies from the very beginning and support them through their entire journey.”
Indeed, as TechCrunch recently reported, Accel has a history of backing companies that were previously bootstrapped (and often profitable) -– the latest example being Lower, a Columbus, Ohio-based fintech, which just raised a $100 million Series A.
Interestingly, Accel is often referred to some of these companies by existing portfolio companies (also in the case of Lower, whose CEO was referred to Accel by Galileo Clay Wilkes). More often than not, companies that Accel backs out of its early-stage and growth funds are bootstrapped and located outside of Silicon Valley.
The venture firm has long looked outside of Silicon Valley for opportunities, and has had offices not only in the Bay Area, but in London and Bangalore for years. Part of its investment thesis is to “invest early and locally,” according to Wong. Examples of this philosophy include investments in companies based all over the world — from Mexico to Stockholm to Tel Aviv to Munich.
Since the time of its last fund closure in 2019, the firm has seen 10 portfolio companies go public, including Slack, Austin-based Bumble, Bucharest-based UiPath, CrowdStrike, PagerDuty, Deliveroo and Squarespace, among others.
It also had 40 companies experience an M&A, including Utah-based Qualtrics’s $8 billion acquisition by SAP and Segment’s $3.2 billion acquisition by Twilio. Also, just last week, Rockwell Automation announced it was buying Michigan-based Plex Systems for $2.22 billion in cash. Accel first invested in Plex, which has developed a subscription-based smart manufacturing platform, in 2012.
Recent investments include a number of fintech companies such as LatAm’s Flink, Berlin-based Trade Republic, Unit and Robinhood rival Public. Accel has also backed as existing portfolio companies such as Webflow, a software company that helps businesses build no-code websites and events startup Hopin.
Wong says Accel is “open-minded but thematic” in its investment approach.
Accel Partner Sonali de Rycker, who is based out of London, agrees.
“For example, we’ll look at automation companies, consumer businesses and security companies, but at a global scale. Our goal is to find the best entrepreneurs regardless of where they are,” she said.
That has only been intensified by the recent rise of the smartphone and cloud, Wong said.
“Before, companies were mostly selling to the consumer in their own country,” he added. “But now the size of the market is so dramatically bigger, allowing them to become even larger, which is one of the reasons why I believe we’re seeing investment pace at this speed.”
To support this, it’s notable that Accel’s global Leaders fund is “dramatically” larger than the $500 million Leaders fund the firm closed in 2019.
Also, de Rycker points out, companies are staying private longer so the opportunity to invest in them until they sell or go public is greater.
Accel is also patient. In some cases, the firm’s investors will develop “years-long” relationships with companies they are courting.
“1Password is an example of this approach,” Wong said. “Arun [Mathew] had that relationship for at least six years before that investment was made. Finally, 1Password called and said ‘We’re ready, and we want you to do it.’ ”
And so Accel led the Canadian company’s first external round of funding in its 14-year history — a $200 million Series A — in 2019.
While the firm is open-minded, there are still some industries it has not yet embraced as much as others. For example, Wong said, “We’re not announcing a $2.2 billion crypto fund, but we have done crypto investments, and see some very interesting trends there. We’ll look at where crypto takes us.”
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Fraud protection startup nSure AI raises $6.8M in seed funding
Fraud protection startup nSure AI has raised $6.8 million in seed funding, led by DisruptiveAI, Phoenix Insurance, AXA-backed venture builder Kamet, Moneta Seeds and private investors.
The round will help the company bolster the predictive AI and machine learning algorithms that power nSure AI’s “first of its kind” fraud protection platform. Prior to this round, the company received $550,000 in pre-seed funding from Kamet in March 2019.
The Tel Aviv-headquartered startup, which currently has 16 employees, provides fraud detection for high-risk digital goods, such as electronic gift cards, airline tickets, software and games. While most fraud detection tools analyze each online transaction in an attempt to decide which purchases to approve and decline, nSure AI’s risk engine leverages deep learning techniques to accurately identify fraudulent transactions.
NSure AI, which is backed by insurance company AXA, said it has a 98% approval rating on average for purchases, compared to an industry average of 80%, allowing retailers to recapture nearly $100 billion a year in revenue lost by declining legitimate customers. The company is so confident in its technology that it will accept liability for any fraudulent transaction allowed by the platform.
Founders Alex Zeltcer and Ziv Isaiah started the company after experiencing the unique challenges faced by retailers of digital assets. The first week of their online gift card business found that 40% of sales were fraudulent, resulting in chargebacks. The founders began to develop their own platform for supporting the sale of high-risk digital goods after no other fraud detection service met their needs.
Zeltcer, co-founder and chief executive, said the investment “enables us to register thousands of new merchants, who can feel confident selling higher-risk digital goods, without accepting fraud as a part of business.”
NSure AI, which currently monitors and manages millions of transactions every month, has approved close to $1 billion in volume since going live in 2019.
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HoneyBook raises $155M at $1B+ valuation to help SMBs, freelancers manage their businesses
HoneyBook, which has built out a client experience and financial management platform for service-based small businesses and freelancers, announced today that it has raised $155 million in a Series D round led by Durable Capital Partners LP.
Tiger Global Management, Battery Ventures, Zeev Ventures, 01 Advisors as well as existing backers Norwest Venture Partners and Citi Ventures also participated in the financing, which brings the San Francisco-based company’s valuation to over $1 billion. With the latest round, HoneyBook has now raised $248 million since its 2013 inception. The Series D is a big jump from the $28 million that HoneyBook raised in March 2019.
When the COVID-19 pandemic hit last year, HoneyBook’s leadership team was concerned about the potential impact on their business and braced themselves for a drop in revenue.
Rather than lay off people, they instead asked everyone to take a pay cut, and that included the executive team, who cut theirs “by double” the rest of the staff.
“I remember it was terrifying. We knew that our customers’ businesses were going to be impacted dramatically, and would impact ours at the same time dramatically,” recalls CEO Oz Alon. “We had to make some hard decisions.”
But the resilience of HoneyBook’s customer base surprised even the company, who ended up reinstating those salaries just a few months later. And, as corporate layoffs driven by the COVID-19 pandemic led to more people deciding to start their own businesses, HoneyBook saw a big surge in demand.
“Our members who saw a hit in demand went out and found demand in another thing,” Oz said. As a result, HoneyBook ended up doubling its number of members on its SaaS platform and tripling its annual recurring revenue (ARR) over the past 12 months. Members booked more than $1 billion in business on the platform in the past nine months alone.
HoneyBook combines on its platform tools like billing, contracts and client communication, with the goal of helping business owners stay organized. Since its inception, service providers across the U.S. and Canada such as graphic designers, event planners, digital marketers and photographers have booked more than $3 billion in business on its platform. And as the pandemic had more people shift to doing more things online, HoneyBook prepared to help its members adapt by being armed with digital tools.
Image Credits: HoneyBook
“Clients now expect streamlined communication, seamless payments, and the same level of exceptional service online that they were used to receiving from business owners in person,” Alon said.
Oz co-founded HoneyBook with wife Naama and longtime friend Dror Shimoni. Oz and Naama were both small business owners themselves at one time, so they had firsthand insight on the pain points of running a service-based business.
HoneyBook’s software not only helps SMBs do more business, but helps them “convert potentials to actual clients,” Oz said.
“We help them communicate with potential clients so they can win their business, and then help them manage the relationship so they can keep them,” Naama said.
The company plans to use its new capital toward continued product development and to “dramatically” boost its 103-person headcount across its New York and Tel Aviv offices.
“We’re seeing so much demand for additional services and products, so we definitely want to invest and create better ways for our members to present themselves online,” Alon told TechCrunch. “We’re also seeing demand for financial products and the ability to access capital faster. So that’s just a few of the things we plan to invest in.”
The company also wants to make its platform “more customizable” for different categories and verticals.
Chelsea Stoner, general partner at Battery Ventures, said her firm recognized that the expansive market of productivity tools to serve small businesses and entrepreneurs was “a market of discrete and separate productivity tools.”
HoneyBook, she said, is a true platform for SMBs, “providing a huge array of functionality in one cohesive UX.”
“It unites and connects every task for the solopreneurs, from creating and distributing marketing collateral, to organizing and executing proposals, to sending invoices and collecting payments,” Stoner said. “The company is constantly innovating and iterating in response to its members; we also see a lot of opportunity with payments going forward…And, due to COVID-19 and other factors, the company is sitting on pent-up demand that will accelerate growth even more.”
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Aporia raises $5M for its AI observability platform
Machine learning (ML) models are only as good as the data you feed them. That’s true during training, but also once a model is put in production. In the real world, the data itself can change as new events occur and even small changes to how databases and APIs report and store data could have implications on how the models react. Since ML models will simply give you wrong predictions and not throw an error, it’s imperative that businesses monitor their data pipelines for these systems.
That’s where tools like Aporia come in. The Tel Aviv-based company today announced that it has raised a $5 million seed round for its monitoring platform for ML models. The investors are Vertex Ventures and TLV Partners.
Image Credits: Aporia
Aporia co-founder and CEO Liran Hason, after five years with the Israel Defense Forces, previously worked on the data science team at Adallom, a security company that was acquired by Microsoft in 2015. After the sale, he joined venture firm Vertex Ventures before starting Aporia in late 2019. But it was during his time at Adallom where he first encountered the problems that Aporio is now trying to solve.
“I was responsible for the production architecture of the machine learning models,” he said of his time at the company. “So that’s actually where, for the first time, I got to experience the challenges of getting models to production and all the surprises that you get there.”
The idea behind Aporia, Hason explained, is to make it easier for enterprises to implement machine learning models and leverage the power of AI in a responsible manner.
“AI is a super powerful technology,” he said. “But unlike traditional software, it highly relies on the data. Another unique characteristic of AI, which is very interesting, is that when it fails, it fails silently. You get no exceptions, no errors. That becomes really, really tricky, especially when getting to production, because in training, the data scientists have full control of the data.”
But as Hason noted, a production system may depend on data from a third-party vendor and that vendor may one day change the data schema without telling anybody about it. At that point, a model — say for predicting whether a bank’s customer may default on a loan — can’t be trusted anymore, but it may take weeks or months before anybody notices.
Aporia constantly tracks the statistical behavior of the incoming data and when that drifts too far away from the training set, it will alert its users.
One thing that makes Aporia unique is that it gives its users an almost IFTTT or Zapier-like graphical tool for setting up the logic of these monitors. It comes pre-configured with more than 50 combinations of monitors and provides full visibility in how they work behind the scenes. That, in turn, allows businesses to fine-tune the behavior of these monitors for their own specific business case and model.
Initially, the team thought it could build generic monitoring solutions. But the team realized that this wouldn’t only be a very complex undertaking, but that the data scientists who build the models also know exactly how those models should work and what they need from a monitoring solution.
“Monitoring production workloads is a well-established software engineering practice, and it’s past time for machine learning to be monitored at the same level,” said Rona Segev, founding partner at TLV Partners. “Aporia‘s team has strong production-engineering experience, which makes their solution stand out as simple, secure and robust.”
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Aqua Security raises $135M at a $1B valuation for its cloud native security platform
Aqua Security, a Boston- and Tel Aviv-based security startup that focuses squarely on securing cloud-native services, today announced that it has raised a $135 million Series E funding round at a $1 billion valuation. The round was led by ION Crossover Partners. Existing investors M12 Ventures, Lightspeed Venture Partners, Insight Partners, TLV Partners, Greenspring Associates and Acrew Capital also participated. In total, Aqua Security has now raised $265 million since it was founded in 2015.
The company was one of the earliest to focus on securing container deployments. And while many of its competitors were acquired over the years, Aqua remains independent and is now likely on a path to an IPO. When it launched, the industry focus was still very much on Docker and Docker containers. To the detriment of Docker, that quickly shifted to Kubernetes, which is now the de facto standard. But enterprises are also now looking at serverless and other new technologies on top of this new stack.
“Enterprises that five years ago were experimenting with different types of technologies are now facing a completely different technology stack, a completely different ecosystem and a completely new set of security requirements,” Aqua CEO Dror Davidoff told me. And with these new security requirements came a plethora of startups, all focusing on specific parts of the stack.
Image Credits: Aqua Security
What set Aqua apart, Dror argues, is that it managed to 1) become the best solution for container security and 2) realized that to succeed in the long run, it had to become a platform that would secure the entire cloud-native environment. About two years ago, the company made this switch from a product to a platform, as Davidoff describes it.
“There was a spree of acquisitions by CheckPoint and Palo Alto [Networks] and Trend [Micro],” Davidoff said. “They all started to acquire pieces and tried to build a more complete offering. The big advantage for Aqua was that we had everything natively built on one platform. […] Five years later, everyone is talking about cloud-native security. No one says ‘container security’ or ‘serverless security’ anymore. And Aqua is practically the broadest cloud-native security [platform].”
One interesting aspect of Aqua’s strategy is that it continues to bet on open source, too. Trivy, its open-source vulnerability scanner, is the default scanner for GitLab’s Harbor Registry and the CNCF’s Artifact Hub, for example.
“We are probably the best security open-source player there is because not only do we secure from vulnerable open source, we are also very active in the open-source community,” Davidoff said (with maybe a bit of hyperbole). “We provide tools to the community that are open source. To keep evolving, we have a whole open-source team. It’s part of the philosophy here that we want to be part of the community and it really helps us to understand it better and provide the right tools.”
In 2020, Aqua, which mostly focuses on mid-size and larger companies, doubled the number of paying customers and it now has more than half a dozen customers with an ARR of over $1 million each.
Davidoff tells me the company wasn’t actively looking for new funding. Its last funding round came together only a year ago, after all. But the team decided that it wanted to be able to double down on its current strategy and raise sooner than originally planned. ION had been interested in working with Aqua for a while, Davidoff told me, and while the company received other offers, the team decided to go ahead with ION as the lead investor (with all of Aqua’s existing investors also participating in this round).
“We want to grow from a product perspective, we want to grow from a go-to-market [perspective] and expand our geographical coverage — and we also want to be a little more acquisitive. That’s another direction we’re looking at because now we have the platform that allows us to do that. […] I feel we can take the company to great heights. That’s the plan. The market opportunity allows us to dream big.”
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YL Ventures sells its stake in cybersecurity unicorn Axonius for $270M
YL Ventures, the Israel-focused cybersecurity seed fund, today announced that it has sold its stake in cybersecurity asset management startup Axonius, which only a week ago announced a $100 million Series D funding round that now values it at around $1.2 billion.
ICONIQ Growth, Alkeon Capital Management, DTCP and Harmony Partners acquired YL Venture’s stake for $270 million. This marks YL’s first return from its third $75 million fund, which it raised in 2017, and the largest return in the firm’s history.
With this sale, the company’s third fund still has six portfolio companies remaining. It closed its fourth fund with $120 million in committed capital in the middle of 2019.
Unlike YL, which focuses on early-stage companies — though it also tends to participate in some later-stage rounds — the investors that are buying its stake specialize in later-stage companies that are often on an IPO path. ICONIQ Growth has invested in the likes of Adyen, CrowdStrike, Datadog and Zoom, for example, and has also regularly partnered with YL Ventures on its later-stage investments.
“The transition from early-stage to late-stage investors just makes sense as we drive toward IPO, and it allows each investor to focus on what they do best,” said Dean Sysman, co-founder and CEO of Axonius. “We appreciate the guidance and support the YL Ventures team has provided during the early stages of our company and we congratulate them on this successful journey.”
To put this sale into perspective for the Silicon Valley and Tel Aviv-based YL Ventures, it’s worth noting that it currently manages about $300 million. Its current portfolio includes the likes of Orca Security, Hunters and Cycode. This sale is a huge win for the firm.
Its most headline-grabbing exit so far was Twistlock, which was acquired by Palo Alto Networks for $410 million in 2019, but it has also seen exits of its portfolio companies to Microsoft, Proofpoint, CA Technologies and Walmart, among others. The fund participated in Axonius’ $4 million seed round in 2017 up to its $58 million Series C round a year ago.
It seems like YL Ventures is taking a very pragmatic approach here. It doesn’t specialize in late-stage firms — and until recently, Israeli startups always tended to sell long before they got to a late-stage round anyway. And it can generate a nice — and guaranteed — return for its own investors, too.
“This exit netted $270 million in cash directly to our third fund, which had $75 million total in capital commitments, and this fund still has six outstanding portfolio companies remaining,” Yoav Leitersdorf, YL Ventures’ founder and managing partner, told me. “Returning multiple times that fund now with a single exit, with the rest of the portfolio companies still there for the upside is the most responsible — yet highly profitable path — we could have taken for our fund at this time. And all this while diverting our energies and means more towards our seed-stage companies (where our help is more impactful), and at the same time supporting Axonius by enabling it to bring aboard such excellent late-stage investors as ICONIQ and Alkeon — a true win-win-win situation for everyone involved!”
He also noted that this sale achieved a top-decile return for the firm’s limited partners and allows it to focus its resources and attention toward the younger companies in its portfolio.
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Immunai raises $60M as it expands from improving immune therapies to discovering new ones, too
Just three years after its founding, biotech startup Immunai has raised $60 million in Series A funding, bringing its total raised to over $80 million. Despite its youth, Immunai has already established the largest database in the world for single cell immunity characteristics, and it has already used its machine learning-powered immunity analysts platform to enhance the performance of existing immunotherapies. Aided by this new funding, it’s now ready to expand into the development of entirely new therapies based on the strength and breadth of its data and ML.
Immunai’s approach to developing new insights around the human immune system uses a “multiomic” approach — essentially layering analysis of different types of biological data, including a cell’s genome, microbiome, epigenome (a genome’s chemical instruction set) and more. The startup’s unique edge is in combining the largest and richest data set of its type available, formed in partnership with world-leading immunological research organizations, with its own machine learning technology to deliver analytics at unprecedented scale.
“I hope it doesn’t sound corny, but we don’t have the luxury to move more slowly,” explained Immunai co-founder and CEO Noam Solomon in an interview. “Because I think that we are in kind of a perfect storm, where a lot of advances in machine learning and compute computations have led us to the point where we can actually leverage those methods to mine important insights. You have a limit or ceiling to how fast you can go by the number of people that you have — so I think with the vision that we have, and thanks to our very large network between MIT and Cambridge to Stanford in the Bay Area, and Tel Aviv, we just moved very quickly to harness people to say, let’s solve this problem together.”
Solomon and his co-founder and CTO Luis Voloch both have extensive computer science and machine learning backgrounds, and they initially connected and identified a need for the application of this kind of technology in immunology. Scientific co-founder and SVP of Strategic Research Danny Wells then helped them refine their approach to focus on improving efficacy of immunotherapies designed to treat cancerous tumors.
Immunai has already demonstrated that its platform can help identify optimal targets for existing therapies, including in a partnership with the Baylor College of Medicine where it assisted with a cell therapy product for use in treating neuroblastoma (a type of cancer that develops from immune cells, often in the adrenal glands). The company is now also moving into new territory with therapies, using its machine learning platform and industry-leading cell database to new therapy discovery — not only identifying and validating targets for existing therapies, but helping to create entirely new ones.
“We’re moving from just observing cells, but actually to going and perturbing them, and seeing what the outcome is,” explained Voloch. This, from the computational side, later allows us to move from correlative assessments to actually causal assessments, which makes our models a lot more powerful. Both on the computational side and on the lab side, this are really bleeding edge technologies that I think we will be the first to really put together at any kind of real scale.”
“The next step is to say, ‘Okay, now that we understand the human immune profile, can we develop new drugs?’,” said Solomon. “You can think about it like we’ve been building a Google Maps for the immune system for a few years — so we are mapping different roads and paths in the immune system. But at some point, we figured out that there are certain roads or bridges that haven’t been built yet. And we will be able to support building new roads and new bridges, and hopefully leading from current states of disease or cities of disease, to building cities of health.”
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Run:AI raises $30M Series B for its AI compute platform
Run:AI, a Tel Aviv-based company that helps businesses orchestrate and optimize their AI compute infrastructure, today announced that it has raised a $30 million Series B round. The new round was led by Insight Partners, with participation from existing investors TLV Partners and S Capital. This brings the company’s total funding to date to $43 million.
At the core of Run:AI’s platform is the ability to effectively virtualize and orchestrate AI workloads on top of its Kubernetes-based scheduler. Traditionally, it was always hard to virtualize GPUs, so even as demand for training AI models has increased, a lot of the physical GPUs often set idle for long periods because it was hard to dynamically allocate them between projects.
Image Credits: Run.AI
The promise behind Run:AI’s platform is that it allows its users to abstract away all of the AI infrastructure and pool all of their GPU resources — no matter whether in the cloud or on-premises. This also makes it easier for businesses to share these resources between users and teams. In the process, IT teams also get better insights into how their compute resources are being used.
“Every enterprise is either already rearchitecting themselves to be built around learning systems powered by AI, or they should be,” said Lonne Jaffe, managing director at Insight Partners and now a board member at Run:AI.” Just as virtualization and then container technology transformed CPU-based workloads over the last decades, Run:AI is bringing orchestration and virtualization technology to AI chipsets such as GPUs, dramatically accelerating both AI training and inference. The system also future-proofs deep learning workloads, allowing them to inherit the power of the latest hardware with less rework. In Run:AI, we’ve found disruptive technology, an experienced team and a SaaS-based market strategy that will help enterprises deploy the AI they’ll need to stay competitive.”
Run:AI says that it is currently working with customers in a wide variety of industries, including automotive, finance, defense, manufacturing and healthcare. These customers, the company says, are seeing their GPU utilization increase from 25 to 75% on average.
“The new funds enable Run:AI to grow the company in two important areas: first, to triple the size of our development team this year,” the company’s CEO Omri Geller told me. “We have an aggressive roadmap for building out the truly innovative parts of our product vision — particularly around virtualizing AI workloads — a bigger team will help speed up development in this area. Second, a round this size enables us to quickly expand sales and marketing to additional industries and markets.”
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