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Databricks raises $1B at $28B valuation as it reaches $425M ARR
Another hour, another billion-dollar round. That’s how February is kicking off. This time it’s Databricks, which just raised $1 billion Series G at a whopping $28 billion post-money valuation.
Databricks is a data-and-AI focused company that interacts with corporate information stored in the public cloud.
News of the new round began leaking last week. Franklin Templeton led the round, which also included new investors Fidelity and Whale Rock. Databricks also raised part of the capital from major cloud vendors including AWS, Alphabet via its CapitalG vehicle, and Salesforce Ventures. Microsoft is a previous investor, and it took part in the round as well.
But we’re not done! Other prior investors including a16z, T. Rowe Price, Tiger Global, BlackRock and Coatue were also involved along with Alkeon Capital Management.
Consider that Databricks just raised a bushel of capital from a mix of cloud companies it works with, public investors it wants as shareholders when it goes public and some private money that is enjoying a stiff markup from their last check into the company.
The company has made its mark with a series of four open-source products with a core data lake product call Delta Lake leading the way. You may recall that another hot data lake company, Snowflake, raised almost a half a billion dollars on a $12.4 billion valuation a year ago before going public last September with a valuation twice that. Databricks has already exceeded that public valuation with this round — as a private company.
When we spoke to Databricks CEO Ali Ghodsi at the time of his company’s $400 million round in 2019, one which valued the company at $6.2 billion at the time, he said his company was the fastest-growing enterprise cloud software companies ever, and that’s saying something.
The company makes money by offering each of those open-source products as a software service and it’s doing exceedingly well at it, so much so that investors were tripping over each other to be part of this deal. In fact, Ghodsi said in a conversation with TechCrunch today that his company had targeted a much more modest $200 million raise, but that figure grew as more parties wanted to invest funds into the company. Even with that, Databricks had to turn capital away, he added, after deciding to cap the round at $1 billion.
The extra $800 million that the company raised will be used for M&A opportunities with an eye on talent, spend on establishing a Lakehouse concept, international expansion, while also expanding its engineering team, the CEO said.
Ghodsi also made clear that he does not intend to let the percentage of revenue that the company spends on R&D to drop, as is common at modern software companies — as many SaaS companies grow, they expend more of their revenue on sales and marketing efforts over product spend, something that Databricks wants to avoid by continuing to invest in engineering talent.
Why? Because Ghodsi says that the pace of innovation in AI is so rapid that IP becomes outdated in just a few years. That means that companies that want to lead in this space will have to stay on the bleeding edge of their market or fall back swiftly.
The Databricks model appears to be working well, with the company closing 2020 at $425 million in annual recurring revenue, or ARR. That figure, up 75% from the year-ago period, is also up from a $350 million run rate at the end of its Q3 2020. (For more on Databricks’ business, product and growth, head here.)
Notably Ghodsi told TechCrunch that this deal only started to come together in December. It’s February 1st today, which means that it took on this bushel of new funding remarkably quickly.
Finally, at $425 million in ARR, is the CEO worried about having a valuation sitting at roughly a 65x multiple? Ghodsi said that he is not. He said that he told his company during an all-hands earlier today that the AI market is a long journey, one that he hopes to be on for decades, and the stock market will go up and down. His point, as far as I could read into it, was that so long as Databricks keeps growing as it has, its valuation will take care of itself (and that seems to be the case so far with this company).
What’s certainly true is that Databricks is now as rich as it has ever been, as large as it has ever been, and in a market that is maturing. Let’s see what it can do with all this money.
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Vectorized announces $15.5M investment to build simpler streaming data tool
Streaming data is not new. Kafka has existed as an open source tool for a decade. Vectorized was founded on the premise that the existing tools were too complex and not designed for today’s streaming requirements. Today the company released its first product, Redpanda, an open source tool designed to make it easier for developers to build streaming data applications.
While it was at it, the startup announced a $15.5 million funding round, which is actually a combination of a previously unannounced $3 million seed round led by Lightspeed Venture Partners and a $12.5 million Series A, which was also from Lightspeed with help from Google Ventures.
Redpanda is an open source tool that is delivered as an “intelligent API” to help “turn data streams into products,” company founder and CEO Alexander Gallego explained. It’s built to be a Kafka replacement, while remaining Kafka-compatible to help deal with backwards compatibility.
At the same time, it takes a more modern approach. Gallego points out that teams building data streaming applications have been getting lost in the complexity and he recognized an opportunity to build a company to simplify that.
“People are drowning in complexity today managing Kafka, ZooKeeper (an open source configuration management tool) and the data lake,” he said, adding “We enable new things that couldn’t be done before for several reasons: one is performance, one is simplicity and the other one is this store procedures.”
He says that the key to developer adoption is making the product free through open source, and having Kafka compatibility so that developers don’t feel like they have to just dump existing projects and start from scratch. While the company is launching with an open source tool, it plans to use the funding to build a hosted version of Redpanda to put it within reach of more organizations. “This funding round in particular is to power our cloud,” he said.
Arif Janmohamed, a partner at Lightspeed Ventures who is leading the investment in Vectorized sees a company looking to improve upon an existing technology with a better approach. “With a simple, elegant solution that doesn’t require any changes to an existing application’s code, Vectorized delivers 10x better performance, a much simpler management paradigm, and new functionality that will unleash the next set of real-time applications for the next decade,” Janmohamed said.
The company has 22 employees today with plans to add another 8 in the first half of this year, mostly engineers to help build the hosted version. As a Latino founder, Gallego is acutely aware of the need for a diverse and inclusive workforce. “What I have found is that being a [Latino] CEO, it attracts more people that look like me, and so that’s been a big thing, and it’s made a difference [in attracting diverse candidates],” he said.
One concrete thing he has done is start a scholarship to encourage under represented groups to become developers. “I started a scholarship where we just give money and mentorship to communities of Latino, Black and female developers, or people that want to transition to software engineering,” he said. While he says he does it without strings attached, he does hope that some of these folks could become part of the tech industry eventually, and perhaps even work at his company.
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Drupal’s journey from dorm-room project to billion-dollar exit
Twenty years ago Drupal and Acquia founder Dries Buytaert was a college student at the University of Antwerp. He wanted to put his burgeoning programming skills to work by building a communications tool for his dorm. That simple idea evolved over time into the open-source Drupal web content management system, and eventually a commercial company called Acquia built on top of it.
Buytaert would later raise over $180 million and exit in 2019 when the company was acquired by Vista Equity Partners for $1 billion, but it took 18 years of hard work to reach that point.
When Drupal came along in the early 2000s, it wasn’t the only open-source option, but it was part of a major movement toward giving companies options by democratizing web content management.
Many startups are built on open source today, but back in the early 2000s, there were only a few trail blazers and none that had taken the path that Acquia took. Buytaert and his co-founders decided to reduce the complexity of configuring a Drupal installation by building a hosted cloud service.
That seems like a no-brainer now, but consider at the time in 2009, AWS was still a fledgling side project at Amazon, not the $45 billion behemoth it is today. In 2021, building a startup on top of an open-source project with a SaaS version is a proven and common strategy. Back then nobody else had done it. As it turned out, taking the path less traveled worked out well for Acquia.
Moving from dorm room to billion-dollar exit is the dream of every startup founder. Buytaert got there by being bold, working hard and thinking big. His story is compelling, but it also offers lessons for startup founders who also want to build something big.
Born in the proverbial dorm room
In the days before everyone had internet access and a phone in their pockets, Buytaert simply wanted to build a way for him and his friends to communicate in a centralized way. “I wanted to build kind of an internal message board really to communicate with the other people in the dorm, and it was literally talking about things like ‘Hey, let’s grab a drink at 8:00,’” Buytaert told me.
He also wanted to hone his programming skills. “At the same time I wanted to learn about PHP and MySQL, which at the time were emerging technologies, and so I figured I would spend a few evenings putting together a basic message board using PHP and MySQL, so that I could learn about these technologies, and then actually have something that we could use.”
The resulting product served its purpose well, but when graduation beckoned, Buytaert realized if he unplugged his PC and moved on, the community he had built would die. At that point, he decided to move the site to the public internet and named it drop.org, which was actually an accident. Originally, he meant to register dorp.org because “dorp” is Dutch for “village or small community,” but he mistakenly inverted the letters during registration.
Buytaert continued adding features to drop.org like diaries (a precursor to blogging) and RSS feeds. Eventually, he came up with the idea of open-sourcing the software that ran the site, calling it Drupal.
The birth of web content management
About the same time Buytaert was developing the basis of what would become Drupal, web content management (WCM) was a fresh market. Early websites had been fairly simple and straightforward, but they were growing more complex in the late 90s and a bunch of startups were trying to solve the problem of managing them. Buytaert likely didn’t know it, but there was an industry waiting for an open-source tool like Drupal.
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Openbase scores $3.6M seed to help developers find open-source components
Openbase founder Lior Grossman started his company the way that many founders do — to solve a problem he was having. In this case, it was finding the right open-source components to build his software. He decided to build something to solve the problem, and Openbase was born.
Today, the company announced a $3.65 million seed round led by Zeev Ventures with participation from Y Combinator and 20 individual tech industry investors. Openbase was a member of the YC 2020 cohort.
Grossman says that being part of YC helped him meet investors, especially on Demo Day when hundreds of investors listened in. “I would say that being part of YC definitely gave us a higher profile, and exposed us to some investors that I didn’t know before. It definitely opened doors for us,” he said.
As developers build modern software, they often use open-source components to help build the application, and Openbase helps them find the best one for their purposes. “Openbase basically helps developers choose from among millions of open-source packages,” Grossman told me.
The database includes 1.5 million JavaScript packages today, with support for additional languages including Python and Go in beta. The way it works is that users search for a package based on their requirements and get a set of results. From there, they can compare components and judge them based on user reviews and other detailed insights.
Image Credits: Openbase
Grossman found that his idea began resonating with developers shortly after he launched in 2019. In fact, he reports that he went from zero to half a million users in the first year without any marketing beyond word of mouth. That’s when he decided to apply to Y Combinator and got into the Summer 2020 class.
The database is free for developers, and that has helped build the user base so quickly. Eventually he hopes to monetize by allowing certain companies to promote their packages on the system. He says that these will be clearly marked and that the plan is to have only one promoted package per category. What’s more, they will retain all their user reviews and other associated data, regardless of whether it’s being promoted or not.
Grossman started the company on his own, but has added five employees, with plans to hire more people this year to keep growing the startup. As an immigrant founder, he is sensitive to diversity and sees building a diverse company as a key goal. “I built this company as an immigrant myself […] and I want to build an inclusive culture with people from different backgrounds because I think that will produce the best environment to foster innovation,” he explained.
So far the company has been fully remote, but the plan is to open an office post-pandemic. He says he sees a highly flexible approach to work, though, with people spending some days in the office and some at home. “I think for our culture this hybrid approach will work. Whenever we expand further I obviously imagine having more offices and not only our office in San Francisco.”
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Slim.ai announces $6.6M seed to build container DevOps platform
We are more than seven years into the notion of modern containerization, and it still requires a complex set of tools and a high level of knowledge on how containers work. The DockerSlim open-source project developed several years ago from a desire to remove some of that complexity for developers.
Slim.ai, a new startup that wants to build a commercial product on top of the open-source project, announced a $6.6 million seed round today from Boldstart Ventures, Decibel Partners, FXP Ventures and TechAviv Founder Partners.
Company co-founder and CEO John Amaral says he and fellow co-founder and CTO Kyle Quest have worked together for years, but it was Quest who started and nurtured DockerSlim. “We started coming together around a project that Kyle built called DockerSlim. He’s the primary author, inventor and up until we started doing this company, the sole proprietor of that community,” Amaral explained.
At the time Quest built DockerSlim in 2015, he was working with Docker containers and he wanted a way to automate some of the lower-level tasks involved in dealing with them. “I wanted to solve my own pain points and problems that I had to deal with, and my team had to deal with dealing with containers. Containers were an exciting new technology, but there was a lot of domain knowledge you needed to build production-grade applications and not everybody had that kind of domain expertise on the team, which is pretty common in almost every team,” he said.
He originally built the tool to optimize container images, but he began looking at other aspects of the DevOps lifecycle. including the author, build, deploy and run phases. He found as he looked at that, he saw the possibility of building a commercial company on top of the open-source project.
Quest says that while the open-source project is a starting point, he and Amaral see a lot of areas to expand. “You need to integrate it into your developer workflow and then you have different systems you deal with, different container registries, different cloud environments and all of that. […] You need a solution that can address those needs and doing that through an open source tool is challenging, and that’s where there’s a lot of opportunity to provide premium value and have a commercial product offering,” Quest explained.
Ed Sim, founder and general partner at Boldstart Ventures, one of the seed investors, sees a company bringing innovation to an area of technology where it has been lacking, while putting some more control in the hands of developers. “Slim can shift that all left and give developers the power through the Slim tools to answer all those questions, and then, boom, they can develop containers, push them into production and then DevOps can do their thing,” he said.
They are just 15 people right now including the founders, but Amaral says building a diverse and inclusive company is important to him, and that’s why one of his early hires was head of culture. “One of the first two or three people we brought into the company was our head of culture. We actually have that role in our company now, and she is a rock star and a highly competent and focused person on building a great culture. Culture and diversity to me are two sides of the same coin,” he said.
The company is still in the very early stages of developing that product. In the meantime, they continue to nurture the open-source project and to build a community around that. They hope to use that as a springboard to build interest in the commercial product, which should be available some time later this year.
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Cockroach Labs scores $160M Series E on $2B valuation
Cockroach Labs, makers of CockroachDB, have been on a fundraising roll for the last couple of years. Today the company announced a $160 million Series E on a fat $2 billion valuation. The round comes just eight months after the startup raised an $86.6 million Series D.
The latest investment was led by Altimeter Capital, with participation from new investors Greenoaks and Lone Pine, along with existing investors Benchmark, Bond, FirstMark, GV, Index Ventures and Tiger Global. The round doubled the company’s previous valuation and increased the amount raised to $355 million.
Co-founder and CEO Spencer Kimball says the company’s revenue more than doubled in 2020 in spite of COVID, and that caught the attention of investors. He attributed this paradoxical rise to the rapid shift to the cloud brought on by the pandemic that many people in the industry have seen.
“People became more aggressive with what was already underway, a real move to embrace the cloud to build the next generation of applications and services, and that’s really fundamentally where we are,” Kimball told me.
As that happened, the company began a shift in thinking. While it has embraced an open-source version of CockroachDB along with a 30-day free trial on the company’s cloud service as ways to attract new customers to the top of the funnel, it wants to try a new approach.
In fact, it plans to replace the 30-day trial with a newer version later this year without any time limits. It believes this will attract more developers to the platform and enable them to see the full set of features without having to enter credit card information. What’s more, by taking this approach, it should end up costing the company less money to support the free tier.
“What we expect is that you can do all kinds of things on that free tier. You can do a hackathon, any kind of hobby project […] or even a startup that has ambitions to be the next DoorDash or Airbnb,” he said. As he points out, there’s a point where early-stage companies don’t have many users, and can remain in the free tier until they achieve product-market fit.
“That’s when they put a credit card down, and they can extend beyond the free tier threshold and pay for what they use,” he said. The newer free tier is still in the beta testing phase, but will be rolled out during this year.
Kimball says the company wasn’t necessarily looking to raise, although he knew that it would continue to need more cash on the balance sheet to run with giant competitors like Oracle, AWS and the other big cloud vendors, along with a slew of other database startups. As the company’s revenue grows, he certainly sees an IPO in its future, but he doesn’t see it happening this year.
The startup ended the year with 200 employees and Kimball expects to double that by the end of this year. He says growing a diverse group of employees takes good internal data and building a welcoming and inclusive culture.
“I think the starting point for anything you want to optimize in a business is to make sure that you have the metrics in front of you, and that you’re constantly looking at them […] in order to measure how you’re doing,” he explained.
He added, “The thing that we’re most focused on in terms of action is really building the culture of the company appropriately and that’s something we’ve been doing for all six years we’ve been around. To the extent that you have an inclusive environment where people actually really view the value of respect, that helps with diversity.”
Kimball says he sees a different approach to running the business when the pandemic ends, with some small percentage going into the office regularly and others coming for quarterly visits, but he doesn’t see a full return to the office post-pandemic.
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Jitsu nabs $2M seed to build open-source data integration platform
Jitsu, a graduate of the Y Combinator Summer 2020 cohort, is developing an open-source data integration platform that helps developers send data to a data warehouse. Today, the startup announced a $2 million seed investment.
Costanoa Ventures led the round with participation from Y Combintaor, The House Fund and SignalFire.
In addition to the open-source version of the software, the company has developed a hosted version that companies can pay to use, which shares the same name as the company. Peter Wysinski, Jitsu’s co-founder and CEO, says a good way to think about his company is an open-source Segment, the customer data integration company that was recently sold to Twilio for $3.2 billion.
But, he says, it goes beyond what Segment provides by allowing you to move all kinds of data, whether customer data, connected device data or other types. “If you look at the space in general, companies want more granularity. So let’s say for example, a couple years ago you wanted to sync just your transactions from QuickBooks to your data warehouse, now you want to capture every single sale at the point of sale. What Jitsu lets you do is capture essentially all of those events, all of those streams, and send them to your data warehouse,” Wysinski explained.
Among the data warehouses it currently supports are Amazon Redshift, Google BigQuery, PostGres and Snowflake.
The founders built the open-source project called EventNative to help solve problems they themselves were having moving data around at their previous jobs. After putting the open-source version on GitHub a few months ago, they quickly attained 1,000 stars, proving that they had delivered something that solved a common problem for data teams. They then built the hosted version, Jitsu, which went live a couple of weeks ago.
For now, the company is just the two co-founders, Wysinski and CTO Vladimir Klimontovich and couple of contract engineers, but they intend to do some preliminary hiring over the next year to grow the company, most likely adding engineers. As they begin to build out the startup, Wysinski says that being open source will help drive diversity and inclusion in their hiring.
“The goal is essentially to go after that open-source community and hire people from anywhere because engineers aren’t just […] one color or one race, they’re everywhere, and being open source, and especially being in a remote world, makes it so, so much simpler [to build a diverse workforce], and a lot of companies I feel are going down that road,” he said.
He says along that line, the plan is to be a fully remote company, even after the pandemic ends, as they hire from anywhere. The goal is to have quarterly offsite meetings to check in with employees, but do the majority of the work remotely.
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Materialize scores $40 million investment for SQL streaming database
Materialize, the SQL streaming database startup built on top of the open-source Timely Dataflow project, announced a $32 million Series B investment led by Kleiner Perkins, with participation from Lightspeed Ventures.
While it was at it, the company also announced a previously unannounced $8 million Series A from last year, led by Lightspeed, bringing the total raised to $40 million.
These firms see a solid founding team that includes CEO Arjun Narayan, formerly of Cockroach Labs, and chief scientist Frank McSherry, who created the Timely Dataflow project on which the company is based.
Narayan says that the company believes fundamentally that every company needs to be a real-time company, and it will take a streaming database to make that happen. Further, he says the company is built using SQL because of its ubiquity, and the founders wanted to make sure that customers could access and make use of that data quickly without learning a new query language.
“Our goal is really to help any business to understand streaming data and build intelligent applications without using or needing any specialized skills. Fundamentally what that means is that you’re going to have to go to businesses using the technologies and tools that they understand, which is standard SQL,” Narayan explained.
Bucky Moore, the partner at Kleiner Perkins leading the B round, sees this standard querying ability as a key part of the technology. “As more businesses integrate streaming data into their decision-making pipelines, the inability to ask questions of this data with ease is becoming a non-starter. Materialize’s unique ability to provide SQL over streaming data solves this problem, laying the foundation for them to build the industry’s next great data platform,” he said.
They would naturally get compared to Confluent, a streaming database built on top of the Apache Kafka open-source streaming database project, but Narayan says his company uses straight SQL for querying, while Confluent uses its own flavor.
The company still is working out the commercial side of the house and currently provides a typical service offering for paying customers with support and a service agreement (SLA). The startup is working on a SaaS version of the product, which it expects to release some time next year.
They currently have 20 employees with plans to double that number by the end of next year as they continue to build out the product. As they grow, Narayan says the company is definitely thinking about how to build a diverse organization.
He says he’s found that hiring in general has been challenging during the pandemic, and he hopes that changes in 2021, but he says that he and his co-founders are looking at the top of the hiring funnel because otherwise, as he points out, it’s easy to get complacent and rely on the same network of people you have been working with before, which tends to be less diverse.
“The KPIs and the metrics we really want to use to ensure that we really are putting in the extra effort to ensure a diverse sourcing in your hiring pipeline and then following that through all the way through the funnel. That’s I think the most important way to ensure that you have a diverse [employee base], and I think this is true for every company,” he said.
While he is working remotely now, he sees having multiple offices with a headquarters in NYC when the pandemic finally ends. Some employees will continue to work remotely, with the majority coming into one of the offices.
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Grouparoo snares $3M seed to build open source customer data integration framework
Creating a great customer experience requires a lot of data from a variety of sources, and pulling that disparate data together has captured the attention of companies and big and small from Salesforce and Adobe to Segment and Klaviyo. Today, Grouparoo, a new startup from three industry vets is the next company up with an open source framework designed to make it easier for developers to access and make use of customer data.
The company announced a $3 million seed investment led by Eniac Ventures and Fuel Capital with participation from Hack VC, Liquid2, SCM Advisors and several unnamed angel investors.
Grouparoo CEO and co-founder Brian Leonard says that his company has created this open source customer data framework based on his own experience and difficulty getting customer data into the various tools he has been using since he was technical founder at TaskRabbit in 2008.
“We’re an open source data framework that helps companies easily sync their customer data from their database or warehouse to all of the SaaS tools where they need it. [After you] install it, you teach it about your customers, like what properties are important in each of those profiles. And then it allows you to segment them into the groups that matter,” Leonard explained.
This could be something like high earners in San Francisco along with names and addresses. Grouparoo can grab this data and transfer it to a marketing tool like Marketo or Zendesk and these tools could then learn who your VIP customers are.
For now the company is just the three founders Leonard, CTO Evan Tahler and COO Andy Jih, and while he wasn’t ready to commit to how many people he might hire in the next 12 months, he sees it being less than 10. At this early stage, the three co-founders have already been considering how to build a diverse and inclusive company, something he helped contribute to while he was at TaskRabbit.
“So, coming from [what we built at TaskRabbit] and starting something new, it’s important to all three of us to start [building a diverse company] from the beginning, and especially combined with this notion that we’re building something open source. We’ve been talking a lot about being open about our culture and what’s important to us,” he said.
TaskRabbit also comes into play in their investment where Fuel GP Leah Solivan was also founder of TaskRabbit. “Grouparoo is solving a real and acute issue that companies grapple with as they scale — giving every member of the team access to the data they need to drive revenue, acquire customers and improve real-time decision making. Brian, Andy and Evan have developed an elegant solution to an issue we experienced firsthand at TaskRabbit,” she said.
For now the company is taking an open source approach to build a community around the tool. It is still pre-revenue, but the plan is to find a way to build something commercial on top of the open source tooling. They are considering an open core license where they can add features or support or offer the tool as a service. Leonard says that is something they intend to work out in 2021.
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Gretel announces $12M Series A to make it easier to anonymize data
As companies work with data, one of the big obstacles they face is making sure they are not exposing personally identifiable information (PII) or other sensitive data. It usually requires a painstaking manual effort to strip out that data. Gretel, an early-stage startup, wants to change that by making it faster and easier to anonymize data sets. Today the company announced a $12 million Series A led by Greylock. The company has now raised $15.5 million.
Gretel co-founder and CEO Alex Watson says that his company was founded to make it simpler to anonymize data and unlock data sets that were previously out of reach because of privacy concerns.
“As a developer, you want to test an idea or build a new feature, and it can take weeks to get access to the data you need. Then essentially it boils down to getting approvals to get started, then snapshotting a database, and manually removing what looks like personal data and hoping that you got everything.”
Watson, who previously worked as a GM at AWS, believed that there needed to be a faster and more reliable way to anonymize the data, and that’s why he started Gretel. The first product is an open-source, synthetic machine learning library for developers that strips out personally identifiable information.
“Developers use our open source library, which trains machine learning models on their sensitive data, then as that training is happening we are enforcing something called differential privacy, which basically ensures that the model doesn’t memorize details about secrets for individual people inside of the data,” he said. The result is a new artificial data set that is anonymized and safe to share across a business.
The company was founded last year, and they have actually used this year to develop the open-source product and build an open-source community around it. “So our approach and our go-to-market here is we’ve open-sourced our underlying libraries, and we will also build a SaaS service that makes it really easy to generate synthetic data and anonymized data at scale,” he said.
As the founders build the company, they are looking at how to build a diverse and inclusive organization, something that they discuss at their regular founders’ meetings, especially as they look to take these investment dollars and begin to hire additional senior people.
“We make a conscious effort to have diverse candidates apply, and to really make sure we reach out to them and have a conversation, and that’s paid off, or is in the process of paying off I would say, with the candidates in our pipeline right now. So we’re excited. It’s tremendously important that we avoid group think that happens so often,” he said.
The company doesn’t have paying customers, but the plan is to build off the relationships it has with design partners and begin taking in revenue next year. Sridhar Ramaswamy, the partner at Greylock who is leading the investment, says that his firm is placing a bet on a pre-revenue company because he sees great potential for a service like this.
“We think Gretel will democratize safe and controlled access to data for the whole world the way GitHub democratized source code access and control,” Ramaswamy said.
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