Teen hit Yolo raises $8M to let you Snapchat anonymously

It wasn’t a fad. Yolo became the country’s No. 1 app just a week after launch by letting teens ask for anonymous replies to questions they posted on Snapchat. But nine months later, Yolo is still in the top 100 iOS apps and has 10 million active users. Now it’s safeguarding the app from predators while revealing a smart new feature for spinning up anonymous group chats, powered by $8 million in fresh funding.

“What we are trying to build is a new kind of network where there’s a fluidity to identity,” Yolo co-founder Greg Henrion tells me. “We weren’t sure if Yolo was here to stay, but we’re still ranking well and there seems to be a real opportunity in anonymity starting with Snapchat Q&A.”

Yolo is the first big win for Snapchat’s Snap Kit platform that lets developers piggyback on its login, Bitmoji avatars, stickers and Stories. This lets tiny development teams build apps that hundreds of millions of people, teens in particular, can instantly sign up for in just a few taps. Another Snap Kit app for meeting new people called Hoop recently spiked to No. 2 on the charts

We haven’t seen this kind of social platform success since Zynga’s empire rose atop Facebook. Spawning more blockbusters like Yolo could ensure that a Snapchat account is a must-have utility for the next generation.

Sleepless nights atop the charts

“For two weeks we basically didn’t sleep,” Henrion recalls about the chaos he and co-founder Clément Raffenoux endured after Yolo shot to No. 1 last May. “You’re trying to stay afloat. It was very, very wild.”

The basic premise of Yolo is that you write a question like, “Who’s my celebrity look alike?”, “What do people really think of me?” or “How could I be nicer?”. You’re then switched over to Snapchat, where you can post the question in your Story or messages with a link back to Yolo. There, people can anonymously leave a response; you can post that and your reply with another post on Snapchat.

Yolo co-founder and CEO Greg Henrion, in real life and Bitmoji

The result is that friends and followers feel comfortable giving you real talk. They don’t have to sugarcoat their answers. And that makes people race to open Yolo each time they get a message. Yolo has seen 26 million downloads across iOS and Android globally, with nearly 70% in the U.S.

Other anonymous apps like tbh (acquired by Facebook) and Sarahah (kicked off the app stores) quickly faded, and others eventually imploded due to bullying, like Secret and YikYak. Although tbh hit No. 1 in September 2017, it was out of the top 500 by November. It seems a combination of inherent virality via Snapchat, easy user acquisition via Snap Kit and sharp product design has given Yolo some staying power. It still managed 2.2 million downloads last month versus a peak of 5.5 million in its first month back in May 2019.

That June, Yolo quietly raised a $2 million seed round thanks to its sudden success. The team had been grinding since 2017 on a video reactions app called Popshow funded by a small pre-seed round from SV Angel, Shrug Capital and Product Hunt’s Ryan Hoover. They’d previously built music video-making app Mindie that eventually sold to influencer collective Shots Studios. Popshow never caught on, so the team began experimenting on Snap Kit, building a more official Q&A feature for Snapchat than predecessors like Sarahah and Polly. Then, boom. Days after launch, Yolo’s usage exploded.

But to keep users interested, Yolo needed to evolve. That would require more funding for the eight-person team split between Snapchat’s home of Los Angeles and Henrion’s home of Paris.

An honest way to chat

The concept of a social app where users could shift between full anonymity and representation via avatar attracted its $8 million Series A to invest in product and engineering. The round was led by Thrive Capital, Ron Conway’s A.Capital, former TechCrunch editor Alexia Tsotsis’ Dream Machine, Shrug, Day One, Goodwater, Knight VC, ex-Facebooker Bobby Goodlatte, Twitter co-founder Biz Stone and SV Angel’s Brian Pokorny.

That cash fueled the release of Yolo’s new group chat feature. You can set up a chat room, give it a name and generate an invite URL or sticker you can post on Snapchat, just like its previous question feature. Friends or friends of friends that are already in can join the group chat, represented by their Bitmoji instead of their name. Yolo suggests people join the more open “party mode” chats where their friends are active.

What makes this special is that once an hour, users can tap the Yolo Superpowers button to send  a totally anonymous message to the group. More Superpowers are coming, but there’s also an anonymous “Someone has a crush on [name]” message so you can secretly profess your affection to anyone or someone else in the chat.

“The limits of Q&A is that it doesn’t generate real conversation. It’s an ice breaker, but we also want conversations to happen,” Henrion stresses. ” ‘What do you think about this dress?’ The group chat is more about ‘let’s talk about the dress.’ ” The chats could be focused on people you actually know offline, or those you share interests with. The option to restrict group chats to either just your contacts or friends of friends “limits the amount of meeting strangers,” Henrion explains. “This is very different from the public communities like Reddit or the dating apps.”

Can “anonymous” be synonymous with “safe”?

Still, anonymous apps have consistently proven to be havens for cyberbullying and unsafe behavior. Without the accountability of having your name attached, people are free to say awful things. That can be even worse amongst teenagers who might get in trouble for being mean at school but not on an app.

Yolo first focused on messages blocking 10% of overall messages that contained offensive content. That meant blatant hate speech and trolling couldn’t spread through the app. “We’re strict on moderation. When looking at the reviews about bullying, it’s like nothing compared to any other anonymous app. I think we solved 90% of the problem.”

Now it’s working with Snapchat to safeguard the group chats feature. The goal is to ensure Yolo doesn’t actively recommend chat amongst adults to minors and vice-versa. Henrion says this update should roll out soon.

“It’s 2020 and we need to be very responsible” Henrion tells me. “Moderation and growth are the most difficult things to balance. It’s moderation first for sure. We don’t care about growth if it’s not healthy or sustainable.” The new funding also gives Yolo the luxury of pushing back monetization while it focuses on safely adding more users.

By making anonymity more private, Yolo has a chance to sidestep some of the worst elements of human behavior. Making fun of someone has less appeal if there’s no wider audience like trolls exploited in the feeds and comment reels of Secret and YikYak.

That could let the brighter side of anonymity shine through: vulnerability, honesty and deep connections that are enhanced by the absence of embarrassment. With all the change, uncertainty and anxiety that’s part of growing up, teens deserve a place where they can be open with each other and speak their minds. After all, you only live once.

Amazon Transcribe can now automatically redact personally identifiable information

Amazon Transcribe, the AWS-based speech-to-text service, launched a small but important new feature this morning that, if implemented correctly, can automatically hide your personally identifiable information from call transcripts.

One of the most popular use cases for Transcribe is to create a record of customer calls. Almost by default, that involves exchanging information like your name, address or a credit card number. In my experience, some call centers stop the recording when you’re about to exchange credit card numbers, for example, but that’s not always the case.

With this new feature, Transcribe can automatically identify information like a social security number, credit card number, bank account number, name, email address, phone number and mailing address and redact that. The tool automatically replaces this information with ‘[PII]’ in the transcript.

There are, of course, other tools that can remove PII from existing documents. Often, though, these are focused on data loss prevention tools and aim to keep data from leaking out of the company when you share documents with outsiders. With this new Transcribe tool, at least some of this data will never be available for sharing (unless, of course, you keep a copy of the audio).

In total, Transcribe currently supports 31 languages. Of those, it can transcribe 6 in real-time for captioning and other use cases.

London-based Gyana raises $3.9M for a no-code approach to data science

Coding and other computer science expertise remain some of the more important skills that a person can have in the working world today, but in the last few years, we have also seen a big rise in a new generation of tools providing an alternative way of reaping the fruits of technology: “no-code” software, which lets anyone — technical or non-technical — build apps, games, AI-based chatbots, and other products that used to be the exclusive terrain of engineers and computer scientists.

Today, one of the newer startups in the category — London-based Gyana, which lets non-technical people run data science analytics on any structured dataset — is announcing a round of £3 million to fuel its next stage of growth.

Led by UK firm Fuel Ventures, other investors in this round include Biz Stone of Twitter, Green Shores Capital and U+I , and it brings the total raised by the startup to $6.8 million since being founded in 2015.

Gyana (Sanskrit for “knowledge”) was co-founded by Joyeeta Das and David Kell, who were both pursuing post-graduate degrees at Oxford: Das, a former engineer, was getting an MBA, and Kell was doing a PhD in physics.

Das said that the idea of building this tool came out of the fact that the pair could see a big disconnect emerging not just in their studies, but also in the world at large — not so much a digital divide, as a digital light year in terms of the distance between the groups of who and who doesn’t know how to work in the realm of data science.

“Everyone talks about using data to inform decision making, and the world becoming data-driven, but actually that proposition is available to less than one percent of the world,” she said.

Out of that, the pair decided to work on building a platform that Das describes as a way to empower “citizen data scientists”, by letting users upload any structured data set (for example, a .CSV file) and running a series of queries on it to be able to visualise trends and other insights more easily.

While the longer term goal may be for any person to be able to produce an analytical insight out of a long list of numbers, the more practical and immediate application has been in enterprise services and building tools for non-technical knowledge workers to make better, data-driven decisions.

To prove out its software, the startup first built an app based on the platform that it calls Neera (Sanskrit for “water”), which specifically parses footfall and other “human movement” metrics, useful for applications in retail, real estate and civic planning — for example to determine well certain retail locations are performing, footfall in popular locations, decisions on where to place or remove stores, or how to price a piece of property.

Starting out with the aim of mid-market and smaller companies — those most likely not to have in-house data scientists to meet their business needs — startup has already picked up a series of customers that are actually quite a lot bigger than that. They include Vodafone, Barclays, EY, Pret a Manger, Knight Frank and the UK Ministry of Defense. It says it has some £1 million in contracts with these firms currently.

That, in turn, has served as the trigger to raise this latest round of funding and to launch Vayu (Sanskrit for “air”) — a more general purpose app that covers a wider set of parameters that can be applied to a dataset. So far, it has been adopted by academic researchers, financial services employees, and others that use analysis in their work, Das said.

With both Vayu and Neera, the aim — refreshingly — is to make the whole experience as privacy-friendly as possible, Das noted. Currently, you download an app if you want to use Gyana, and you keep your data local as you work on it. Gyana has no “anonymization” and no retention of data in its processes, except things like analytics around where your cursor hovers, so that Gyana knows how it can improve its product.

“There are always ways to reverse engineer these things,” Das said of anonymization. “We just wanted to make sure that we are not accidentally creating a situation where, despite learning from anaonyised materials, you can’t reverse engineer what people are analysing. We are just not convinced.”

While there is something commendable about building and shipping a tool with a lot of potential to it, Gyana runs the risk of facing what I think of as the “water, water everywhere” problem. Sometimes if a person really has no experience or specific aim, it can be hard to think of how to get started when you can do anything. Das said they have also identified this, and so while currently Gyana already offers some tutorials and helper tools within the app to nudge the user along, the plan is to eventually bring in a large variety of datasets for people to get started with, and also to develop a more intuitive way to “read” the basics of the files in order to figure out what kinds of data inquiries a person is most likely to want to make.

The rise of “no-code” software has been a swift one in the world of tech spanning the proliferation of startups, big acquisitions, and large funding rounds. Companies like Airtable and DashDash are aimed at building analytics leaning on interfaces that follow the basic design of a spreadsheet; AppSheet, which is a no-code mobile app building platform, was recently acquired by Google; and Roblox (for building games without needing to code) and Uncorq (for app development) have both raised significant funding just this week. In the area of no-code data analytics and visualisation, there are biggies like Tableau, as well as Trifacta, RapidMiner and more.

Gartner predicts that by 2024, some 65% of all app development will be made on low- or no-code platforms, and Forrester estimates that the no- and low-code market will be worth some $10 billion this year, rising to $21.2 billion by 2024.

That represents a big business opportunity for the likes of Gyana, which has been unique in using the no-code approach specifically to tackle the area of data science.

However, in the spirit of citizen data scientists, the intention is to keep a consumer version of the apps free to use as it works on signing up enterprise users with more enhanced paid products, which will be priced on an annual license basis (currently clients are paying between $6,000 and $12,000 depending on usage, she said).

“We want to do free for as long as we can,” Das said, both in relation to the data tools and the datasets that it will offer to users. “The biggest value add is not about accessing premium data that is hard to get. We are not a data marketplace but we want to provide data that makes sense to access,” adding that even with business users, “we’d like you to do 90% of what you want to do without paying for anything.”

Cartesiam helps developers bring AI to microcontrollers

Cartesiam, a startup that aims to bring machine learning to edge devices powered by microcontrollers, has launched a new tool for developers who want an easier way to build services for these devices. The new NanoEdge AI Studio is the first IDE specifically designed for enabling machine learning and inferencing on Arm Cortex-M microcontrollers, which power billions of devices already.

As Cartesiam GM Marc Dupaquier, who co-founded the company in 2016, told me, the company works very closely with Arm, given that both have a vested interest in having developers create new features for these devices. He noted that while the first wave of IoT was all about sending data to the cloud, that has now shifted and most companies now want to limit the amount of data they send out and do a lot more on the device itself. And that’s pretty much one of the founding theses of Cartesiam. “It’s just absurd to send all this data — which, by the way, also exposes the device from a security standpoint,” he said. “What if we could do it much closer to the device itself?”

The company first bet on Intel’s short-lived Curie SoC platform. That obviously didn’t work out all that well, given that Intel axed support for Curie in 2017. Since then, Cartesiam has focused on the Cortex-M platform, which worked out for the better, given how ubiquitous it has become. Since we’re talking about low-powered microcontrollers, though, it’s worth noting that we’re not talking about face recognition or natural language understanding here. Instead, using machine learning on these devices is more about making objects a little bit smarter and, especially in an industrial use case, detecting abnormalities or figuring out when it’s time to do preventive maintenance.

Today, Cartesiam already works with many large corporations that build Cortex-M-based devices. The NanoEdge Studio makes this development work far easier, though. “Developing a smart object must be simple, rapid and affordable — and today, it is not, so we are trying to change it,” said Dupaquier. But the company isn’t trying to pitch its product to data scientists, he stressed. “Our target is not the data scientists. We are actually not smart enough for that. But we are unbelievably smart for the embedded designer. We will resolve 99% of their problems.” He argues that Cartesiam reduced time to market by a factor of 20 to 50, “because you can get your solution running in days, not in multiple years.”

One nifty feature of the NanoEdge Studio is that it automatically tries to find the best algorithm for a given combination of sensors and use cases and the libraries it generates are extremely small and use somewhere between 4K to 16K of RAM.

NanoEdge Studio for both Windows and Linux is now generally available. Pricing starts at €690/month for a single user or €2,490/month for teams.

Strattic raises $6.5M to bring static WordPress to the masses

WordPress remains the juggernaut of content management systems, even though it now often gets used in ways it was never intended. And with that, managing the life cycle of WordPress sites has only gotten more complicated, too, all while hackers are trying to exploit any and all security issues to take control of a site. Strattic aims to make all of this a lot easier by turning WordPress sites into static sites that don’t query a database whenever a user looks at a page.

The Israeli company today announced that it has raised a $6.5 million seed round led by SignalFire and TenOneTen Ventures, with participation from Accel, Automattic, Seneca VC, Eric Ries and Village Global VC. It also announced that Zeev Suraski, who co-created PHP 3 and the Zend Engine that’s at the core of PHP 4, has joined the company as its CTO.

About 13 years ago, Strattic CEO and co-founder Miriam Schwab founded a WordPress web development company. At that time, WordPress was often still seen as a tool for running personal blogs, but that has obviously changed over time. But she realized that once her agency handed off the site to the customer, they would often come back to her to ask for maintenance as well — and the idea behind Strattic is based on that experience and trying to simplify that process by using static site generators. Schwab noted that those aren’t necessarily all that user-friendly, though.

“WordPress is still the best option out there, but it has these major issues, so I thought, all right, why not marry these two worlds? WordPress stays WordPress, but maybe we turn it into a static site generator. And that was the initial concept for Strattic,” Schwab told me.

“It was just such an obviously good idea,” co-founder and COO Josh Lawrence added. “It means that you don’t need to do maintenance anymore. It means that your site is 99.99999% more unhackable than before. It’s going to be faster, no matter what. Totally scalable. It’s just all these things and as long as you can make it work — which was not simple — it’s just obvious from a business perspective.”

With Strattic, users still get the usual WordPress experience, but the company only spins up a WordPress container when you are using it, which significantly reduces the attack surface, and then generates the static sites as you make changes. Those static sites obviously load very fast and also provide a smaller attack surface. To speed up the sites, Strattic also uses AWS’s CDN solution.

Lawrence, however, also told me, that getting funding wasn’t easy at first. VCs in Israel weren’t really looking to fund a WordPress company at the time, even though Strattic was growing (mostly organically) at a very nice pace and getting real customers. So in order to raise this round, the company went to Silicon Valley, looking to raise $2 million but came back with $6.5 million in an oversubscribed round.

The team plans to use the new funding to build out its product team and start rolling out new features quickly. Currently, for example, there are still a few types of sites that don’t work with Strattic, including those that use the popular WooCommerce system, because they rely on database connections. Support for these types of sites is in the works, though.

Hasura raises $9.9M Series A to simplify GraphQL for developers

Hasura, a startup working to solve developer problems around connecting to databases when using the open-source GraphQL tool, announced a $9.9 million Series A investment today.

Vertex Ventures US led the round, with participation from SAP.iO Fund and existing investors Nexus Venture Partners and Strive VC. A number of angel investors also participated in the round. The company has raised a total of approximately $11.5 million.

GraphQL is an open-source tool originally developed at Facebook in 2012 and open-sourced a few years later. Hasura CEO and co-founder Tanmai Gopal says the company had been working on helping developers to simplify Kubernetes, but over time, it realized that data access was a bigger problem, so it developed an open-source tool that works with GraphQL to help solve that issue.

“Application developers need access to data sitting in databases. So Hasura is an open-source service that lets you find your databases, set up a little bit of configuration, and then you generate a GraphQL API that’s performant and secure,” Gopal told TechCrunch.

The net result is a kind of Data as a Service API that has solved a big problem for GraphQL users, especially the back-end developers, who had to spend lots of time manually connecting the application to the data sources for front-end developers working with GraphQL. This service creates some code that the front-end developers can drop into their application and connect to the database without a fuss.

It has proven popular, with more than 29 million downloads and counting. The company hopes to make money with an enterprise version that is currently in testing and should be ready soon.

For now, the San Francisco-based company has 40 employees, a number that should rise over the next year with the new funding. The startup hopes to expand the capabilities of the tool, while supporting a wider range of database types.

CircleCI-AWS GovCloud partnership aims to bring modern development to U.S. government

Much like private businesses, the United States government is in the process of moving workloads to the cloud, and facing a similar set of challenges. Today, CircleCI, the continuous delivery developer service, announced a partnership with AWS GovCloud to help federal government entities using AWS’s government platform to modernize their applications development workflows.

“What this means is that it allows us to run our server offering, which is our on-prem offering, and our government customers can run that on dedicated pure cloud resource [on AWS GovCloud],” CircleCI CEO Jim Rose told TechCrunch.

GovCloud is a dedicated, single tenant cloud platform that lets government entities build FedRAMP-compliant secure cloud solutions (other cloud vendors have similar offerings). FedRAMP is a set of government cloud security standards any cloud vendor has to meet to work with the federal government

CircleCI builds modern continuous delivery/continuous integration (CI/CD) pipelines for development teams pushing changes to the application in a rapid change cycle.

“What GovCloud allows us to do is now provide that same level of security and service for government customers that wanted us to do so in an on prem environment in a dedicated single tenant environment [in the cloud],” Rose explained.

While there are a number of steps involved in building cloud applications, Rose said they are sticking to their core strength around building continuous delivery pipelines. As he says, if you have a legacy mainframe application that changes once every year or two, using CircleCI wouldn’t make sense, but as you begin to modernize, that’s where his company could help.

“[CircleCi comes into play] when you get into more modern cloud applications that are changing in some cases hundreds of times a day, and the sources of change for those applications is getting really diverse and managing that is becoming more complex,” Rose said.

This partnership could involve working directly with an agency, as it has done with the Small Business Administration (SBA), or it might involve a systems integrator, or even AWS, inviting them to be part of a larger RFP.

Rose says he realizes that working with the government can sometimes be controversial. Companies from Chef to Salesforce to Google, have run afoul with employees, who don’t want to work with certain agencies like DoD or ICE. He says his company has tended to focus on areas where agencies are looking to improve citizen interactions, and steered away from other areas.

“From our perspective, given that we’re not super involved in a lot of those areas, but we want to get in front of it, both commercially, as well as on the government side, and determine what falls within the fence line and what’s outside of it,” he said.

Deviceplane wants to bring over-the-air updates to Linux edge devices

Deviceplane, a member of the Y Combinator Winter 2020 class is developing an open source toolset to manage, monitor and update Linux devices running at the edge,

“We solve the hard infrastructure problems that all these companies face including network conductivity, SSH access, orchestrating and deployment of remote updates, hosting, application monitoring and access and security controls. It’s 100% open source, available under an Apache License. You can either host it yourself or you can run on the hosted version,” company founder and CEO Josh Curl told TechCrunch.

He could see this working with a variety of hardware including robotics, consumer appliances, drones, autonomous vehicles and medical devices.

Curl, who has a background in software engineering, was drawn to this problem and found that most companies were going with home-grown solutions. He said once he studied the issue, he found that the set of infrastructure resources required to manage, monitor and update these devices didn’t change that much across industries.

The over-the-air updates are a big part of keeping these devices secure, a major concern with edge devices. “Security is challenging, and one of the core tenets of security is just the ability to update things. So if you as a company are hesitant to update because you’re afraid that things are going to break, or you don’t have a proper infrastructure to do those upgrades, that makes you more hesitant to do upgrades, and it slows down development velocity,” Curl said.

Customers can connect to the Deviceplane API via WiFi, cellular or ethernet. If you’re worried about someone tapping into that, Curl says the software assigns the device a unique identity that is difficult to spoof.

“Devices are assigned an identity in Deviceplane and this identity is what authorizes it to make API calls to Deviceplane. The access key for this identity is stored only on the device, which makes it impossible for someone else to spoof this device without physical access to it.

“Even if someone were able to spoof this identity, they would not be able to deploy malicious code to the spoofed device. Devices never have access to control what software they’re running — this is something that can be done only by the developer pushing out updates to devices,” Curl explained.

The company intends to offer both the hosted version and installed versions of the software as open source, something that he considers key. He hopes to make money supporting companies with more complex installations, but he believes that by offering the software as open source, it will drive developer interest and help build a community around the project.

As for joining YC, Curl said he has friends that had been through the program in the past, and had recommended he join as well. Curl sees being part of the cohort as a way to build his business. “We were excited to be tapping into the YC network — and then being able to tap into that network in the future. I think that YC has funded many companies in the past that can be DevicePlane customers, and that can accelerate going forward.”

Curl wasn’t ready to share download numbers just yet, but it’s still an early stage startup looking  to build the company. It’s using an open source model to drive interest, while helping solve a sticky problem.

DeFi aims to bridge the gap between blockchains and financial services

If you’ve been following cryptocurrency news for the past few months, there’s one word that keeps coming back — DeFi, also known as decentralized finance. As the name suggests, DeFi aims to bridge the gap between decentralized blockchains and financial services.

The original purpose of bitcoin hasn’t changed; it’s a crypto asset that lets users transfer money digitally without any bank in the middle. During the early days of bitcoin, people claimed that the blockchain could replace banks altogether.

But retail banks provide a ton of services beyond payments. If you have a bank account, it’s unlikely that you only use it to store, receive and send money. You may have a credit card, a savings account, a loan, some shares, etc.

That’s why developers have been looking at ways to port financial services to blockchains that support smart contracts. Some blockchains, such as Ethereum, EOS or Tezos, let you add a script to a transaction. The script is executed when some conditions are met.

And this is a key element of DeFi — the financial product shouldn’t be managed by a central server. Everything happens on the blockchain. If you want to read the fine print of your financial product, you can look at the code on the blockchain directly.

A group of ex-NSA and Amazon engineers are building a ‘GitHub for data’

Six months ago or thereabouts, a group of engineers and developers with backgrounds from the National Security Agency, Google and Amazon Web Services had an idea.

Data is valuable for helping developers and engineers to build new features and better innovate. But that data is often highly sensitive and out of reach, kept under lock and key by red tape and compliance, which can take weeks to get approval. So, the engineers started Gretel, an early-stage startup that aims to help developers safely share and collaborate with sensitive data in real time.

It’s not as niche of a problem as you might think, said Alex Watson, one of the co-founders. Developers can face this problem at any company, he said. Often, developers don’t need full access to a bank of user data — they just need a portion or a sample to work with. In many cases, developers could suffice with data that looks like real user data.

“It starts with making data safe to share,” Watson said. “There’s all these really cool use cases that people have been able to do with data.” He said companies like GitHub, a widely used source code sharing platform, helped to make source code accessible and collaboration easy. “But there’s no GitHub equivalent for data,” he said.

And that’s how Watson and his co-founders, John Myers, Ali Golshan and Laszlo Bock came up with Gretel.

“We’re building right now software that enables developers to automatically check out an anonymized version of the data set,” said Watson. This so-called “synthetic data” is essentially artificial data that looks and works just like regular sensitive user data. Gretel uses machine learning to categorize the data — like names, addresses and other customer identifiers — and classify as many labels to the data as possible. Once that data is labeled, it can be applied access policies. Then, the platform applies differential privacy — a technique used to anonymize vast amounts of data — so that it’s no longer tied to customer information. “It’s an entirely fake data set that was generated by machine learning,” said Watson.

It’s a pitch that’s already gathering attention. The startup has raised $3.5 million in seed funding to get the platform off the ground, led by Greylock Partners, and with participation from Moonshots Capital, Village Global and several angel investors.

“At Google, we had to build our own tools to enable our developers to safely access data, because the tools that we needed didn’t exist,” said Sridhar Ramaswamy, a former Google executive, and now a partner at Greylock.

Gretel said it will charge customers based on consumption — a similar structure to how Amazon prices access to its cloud computing services.

“Right now, it’s very heads-down and building,” said Watson. The startup plans to ramp up its engagement with the developer community in the coming weeks, with an eye on making Gretel available in the next six months, he said.