Tag Archive for: IT

In surprise choice, Zoom hitches wagon to Oracle for growing infrastructure needs

With the company growing in leaps and bounds, Zoom went shopping for a cloud infrastructure vendor to help it with its growing scale problem. In a surprising choice, the company went with Oracle Cloud Infrastructure.

Zoom has become the go-to video conferencing service as much of the world has shut down due to the pandemic, and life needs to go on somehow. It has gone on via video conferencing with Zoom growing from 200 million active users in February to 300 million in March. That kind of growth puts a wee bit of pressure on your infrastructure, and Zoom clearly needed to beef up its game.

What’s surprising is that it chose Oracle, a company whose infrastructure market share registers as a strong niche player in Synergy Research’s latest survey in February. It is well behind market leaders including Amazon, Microsoft, Google, and even IBM (and that’s saying something).

Brent Leary, who is founder at CRM Essentials, says he sees this as a move to show that Zoom can move beyond the SMB market to power enterprise customers, no matter what they demand.

“I think Zoom went with Oracle because they are proven in the enterprise in terms of mission critical apps built on Oracle databases running on Oracle hardware in the cloud. Zoom needs to prove to enterprises that they are able to handle scale and data security needed to beyond what SMBs typically require,” Leary told TechCrunch.

In addition, Leary speculated that Oracle might have given Zoom a good deal to get a hot company into the fold and beat rivals like Amazon and Microsoft.

It’s worth noting that CNBC reported a couple of weeks ago that Oracle chairman Larry Ellison called Zoom an “essential service” for his business, as well as others. It certainly seems in hindsight that was hardly a coincidence, as he was praising up his new prize customer.

Others have speculated that it might have to do with keeping business away from a potential rival given that Amazon with Chime, Google with Hangouts and Microsoft with Teams all have competing products. However, none of them have become synonymous with online meetings as Zoom has during this crisis.

Zoom went public last year and has become the darling of the video conference market since in spite of a set of security issues that have developed as the company scaled, which they have been working to address.

The stock market is apparently not impressed with the choice. As we went to publish, the stock was down 3.38% or $5.56.

Rapid7 is acquiring DivvyCloud for $145M to beef up cloud security

Rapid7 announced today after the closing bell that it will be acquiring DivvyCloud, a cloud security and governance startup, for $145 million in cash and stock.

With Divvy, the company moves more deeply into the cloud, something that Lee Weiner, chief innovation officer, says the company has been working toward, even before the pandemic pushed that agenda.

Like any company looking at expanding its offering, it balanced building versus buying and decided that buying was the better way to go. “DivvyCloud has a fantastic platform that really allows companies the freedom to innovate as they move to the cloud in a way that manages their compliance and security,” Weiner told TechCrunch.

CEO Corey Thomas says it’s not possible to make a deal right now without looking at the economic conditions due to the pandemic, but he says this was a move they felt comfortable making.

“You have to actually think about everything that’s going on in the world. I think we’re in a fortunate position in that we have had the benefit of both growing in the past couple years but also getting the business more efficient,” Thomas said.

He said that this acquisition fits in perfectly with what he’s been hearing from customers about what they need right now. “One area of new projects that is actually going forward is how people are trying to figure out how to digitize their operations in a world where they aren’t sure how soon employees will be able to congregate and work together. And so from that context, focusing on the cloud and supporting our customers’ journey to the cloud has become an even more important priority for the organization,” he said.

Brian Johnson, CEO and co-founder at DivvyCloud, says that is precisely what his company offers, and why it should fit in well with the Rapid7 family. “We help customers achieve rapid innovation in the cloud while ensuring they remain secure, well governed and compliant,” he said. That takes a different playbook than when customers were on prem, particularly requiring automation and real-time remediation.

With DivvyCloud, Rapid 7 is getting a 7-year-old company with 70 employees and 54 customers. It raised $27.5 million on an $80 million post-money valuation, according to PitchBook data. All of the employees will become part of the Rapid7 organization when the deal closes, which is expected to happen some time this quarter.

The companies say that as they come together, they will continue to support existing Divvy customers, while working to integrate it more deeply into the Rapid7 platform.

Spark fast follows with a $25M Series B round into customer success platform Catalyst

The world has been turned upside down the past few weeks, but one lesson of business remains as important as ever: treating your customers well is the best avenue to future business strength, particularly at a moment of extreme stress.

As businesses come to terms with the economic crisis underway, executives are moving resources from customer acquisition to customer retention — and that’s proving very lucrative to startups that service the customer success market.

Case in point: New York City-based Catalyst, which I profiled just last summer following its $15 million Series A led by Accel’s Vas Natarajan, has seen huge revenue growth the past few months. The data-driven customer success platform has seen its revenue grow by 380% since the Series A financing according to CEO Edward Chiu.

Steep revenue growth is (unsurprisingly) attractive to investors, and in a moment of fortuitous timing, the company signed a $25 million Series B term sheet with Spark Capital just as the COVID-19 crisis was getting underway.

Chiu said Catalyst wasn’t seeking the investment, having much of its Accel round still in the bank, but he ultimately decided that having the extra capital in hand through a looming economic recession was the right decision. The capital officially hit the bank account at the end of March, and was led by the firm’s growth investor Will Reed.

While the company didn’t disclose the valuation, a source with knowledge of the matter quoted a valuation of $125 million. That’s a serious valuation for a company that launched just two years ago in April of 2018.

Outside of more funding, the core story of the company’s product remains the same. Catalyst wants to bring together all the data sources and team members who interact with customers — everyone from designers and engineers to customer success managers — into one dashboard to ensure that everyone has accurate and up-to-date access to all the information they need on the health of every customer.

The one airbrush: the company’s previous URL of getcatalyst.io has become catalyst.io, and officially re-launched this morning.

One growth area that the company is exploring outside of the B2B space of its existing customers is in healthcare, where the company has seen some inbound interest. Chiu says that Catalyst is exploring the steps required to reach HIPAA compliance with its platform, and hopes to expand to more sectors over time with the capital from its Series B.

The Catalyst team. Photo via Catalyst.

When we last checked in with the company, Catalyst had 19 employees and was targeting 40 employees by July 2020. Chiu said that Catalyst is already at 35 employees, and will likely hit 60 to 70 employees by the end of the year.

Seed investors take long view on promising enterprise startups

The job of an early-stage startup founder is challenging in good times, never mind a crash like the one we are experiencing today.

While most expect private investing to slow down, it’s clear that some investments are still happening in spite of the pandemic, if the stories we are writing on TechCrunch are any indication.

But the downturn is bound to have an impact on the types of deals that receive funding; any startup that offers a good or service requiring human interaction or installation will face an uphill battle, at least in the short term. That said, enterprise SaaS vendors, especially ones that solve hard problems, help with work-from-home or collaboration, or better yet, help increase efficiency and save money, are still very much in demand.

Nobody can do anything about the CIO who is hunkering down until things improve — but that’s not everyone. Companies might be thinking twice about where they spend money, but some are still helping drive the net-new, post-COVID-19 investments happening from seed to late stage across many sectors.

We looked at data and spoke to a couple of enterprise-focused, NYC-based seed investors to better understand their investing cadence. Nobody painted a rosy picture of today’s climate, but seed investors were never about immediate gratification, especially where enterprise startups are concerned. That means, if a seed-stage investor believes in the founders and their vision and the company can ride out today’s economic upset, there’s still money in the till — at least for now.

Seed investment generally in decline

Factorial raises $16M to take on the HR world with a platform for SMBs

A startup that’s hoping to be a contender in the very large and fragmented market of human resources software has captured the eye of a big investor out of the US and become its first investment in Spain.

Barcelona-based Factorial, which is building an all-in-one HR automation platform aimed at small and medium businesses that manages payroll, employee onboarding, time off and other human resource functions, has raised €15 ($16 million) in a Series A round of funding led by CRV, with participation also from existing investors Creandum, Point Nine and K Fund.

The money comes on the heels of Factorial — which has customers in 40 countries — seeing eightfold growth in revenues in 2019, with more than 60,000 customers now using its tools.

Jordi Romero, the CEO who co-founded the company with Pau Ramon (CTO) and Bernat Farrero (head of corporate), said in an interview that the investment will be used both to expand to new markets and add more customers, as well as to double down on tech development to bring on more features. These will include RPA integrations to further automate services, and to move into more back-office product areas such as handling expenses,

Factorial has now raised $18 million and is not disclosing its valuation, he added.

The funding is notable on a couple of levels that speak not just to the wider investing climate but also to the specific area of human resources.

In addition to being CRV’s first deal in Spain, the investment is being made at a time when the whole VC model is under a lot of pressure because of the global coronavirus pandemic — not least in Spain, which has a decent, fledgling technology scene but has been one of the hardest-hit countries in the world when it comes to COVID-19.

“It made the closing of the funding very, very stressful,” Romero said from Barcelona last week (via video conference). “We had a gentleman’s agreement [so to speak] before the virus broke out, but the money was still to be wired. Seeing the world collapse around you, with some accounts closing, and with the bigger business world in a very fragile state, was very nerve wracking.”

Ironically, it’s that fragile state that proved to be a saviour of sorts for Factorial.

“We target HR leaders and they are currently very distracted with furloughs and layoffs right now, so we turned around and focused on how we could provide the best value to them,” Romero said.

The company made its product free to use until lockdowns are eased up, and Factorial has found a new interest from businesses that had never used cloud-based services before but needed to get something quickly up and running to use while working from home. He noted that among new companies signing up to Factorial, most either previously kept all their records in local files or at best a “Dropbox folder, but nothing else.”

The company also put in place more materials and other tools specifically to address the most pressing needs those HR people might have right now, such as guidance on how to implement furloughs and layoffs, best practices for communication policies and more. “We had to get creative,” Romero said.

At $16 million, this is at the larger end of Series A rounds as of January 2020, and while it’s definitely not as big as some of the outsized deals we’ve seen out of the US, it happens to be the biggest funding round so far this year in Spain.

Its rise feels unlikely for another reason, too: it comes at a time when we already have dozens (maybe even hundreds) of human resources software businesses, with many an established name — they include PeopleHR, Workday, Infor, ADP, Zenefits, Gusto, IBM, Oracle, SAP, Rippling, and many others — in a market that analysts project will be worth $38.17 billion by 2027 growing at a CAGR of over 11%.

But as is often the case in tech, status quo breeds disruption, and that’s the case here. Factorial’s approach has been to build HR tools specifically for people who are not HR professionals per se: companies that are small enough not to have specialists, or if they do, they share a lot of the tasks and work with other managers who are not in HR first and foremost.

It’s a formula that Romero said could potentially see the company taking on bigger customers, but for now, investors like it for having built a platform approach for the huge but often under-served SME market.

“Factorial was built for the users, designed for the modern web and workplace,” said Reid Christian, General Partner at CRV, in a statement. “Historically the HR software market has been one of the most lucrative categories for enterprise tech companies, and today, the HR stack looks much different. As we enter the third generation of cloud HR products, with countless point solutions, there’s a strong need for an underlying platform to integrate work across these.”

Stripe adds card issuing, localized card networks and expanded approvals tool

At a time when more transactions than ever are happening online, payments behemoth Stripe is announcing three new features to continue expanding its reach.

The company today announced that it will now offer card issuing services directly to businesses to let them in turn make credit cards for customers tailored to specific purposes. Alongside that, it’s going to expand the number of accepted local, large card networks to cut down some of the steps it takes to make transactions in international markets. And finally, it’s launching a “revenue optimization” feature that essentially will use Stripe’s AI algorithms to reassess and approve more flagged transactions that might have otherwise been rejected in the past.

Together the three features underscore how Stripe is continuing to scale up with more services around its core payment processing APIs, a significant step in the wake of last week announcing its biggest fundraise to date: $600 million at a $36 billion valuation.

The rollouts of the new products are specifically coming at a time when Stripe has seen a big boost in usage among some (but not all) of its customers, said John Collison, Stripe’s co-founder and president, in an interview. Instacart, which is providing grocery delivery at a time when many are living under stay-at-home orders, has seen transactions up by 300% in recent weeks. Another newer customer, Zoom, is also seeing business boom. Amazon, Stripe’s behemoth customer that Collison would not discuss in any specific terms except to confirm it’s a close partner, is also seeing extremely heavy usage.

But other Stripe users — for example, many of its sea of small business users — are seeing huge pressures, while still others, faced with no physical business, are just starting to approach e-commerce in earnest for the first time. Stripe’s idea is that the launches today can help it address all of these scenarios.

“What we’re seeing in the COVID-19 world is that the impact is not minor,” said Collison. “Online has always been steadily taking a share from offline, but now many [projected] years of that migration are happening in the space of a few weeks.”

Stripe is among those companies that have been very mum about when they might go public — a state of affairs that only become more set in recent times, given how the IPO market has all but dried up in the midst of a health pandemic and economic slump. That has meant very little transparency about how Stripe is run, whether it’s profitable and how much revenues it makes.

But Stripe did note last week that it had some $2 billion in cash and cash reserves, which at least speaks to a level of financial stability. And another hint of efficiency might be gleaned from today’s product news.

While these three new services don’t necessarily sound like they are connected to each other, what they have underpinning them is that they are all building on top of tech and services that Stripe has previously rolled out. This speaks to how, even as the company now handles some 250 million API requests daily, it’s keeping some lean practices in place in terms of how it invests and maximises engineering and business development resources.

The card issuing service, for example, is built on a card service that Stripe launched last year. Originally aimed at businesses to provide their employees with credit cards — for example to better manage their own work-related expenses, or to make transactions on behalf of the business — now businesses can use the card issuing platform to build out aspects of its customer-facing services.

For example, Stripe noted that the first customer, Zipcar, will now be placing credit cards in each of its vehicles, which drivers can use to fuel up the vehicles (that is, the cards can only be used to buy gas). Another example Collison gave for how these could be implemented would be in a food delivery service, for example for a Postmates delivery person to use the card to pay for the meal that a customer has already paid Postmates to pick up and deliver to them.

Collison noted that while other startups like Marqeta have built big businesses around innovative card issuing services, “this is the first time it’s being issued on a self-serving basis,” meaning companies that want to use these cards can now set this up more quickly as a “programmatic card” experience, akin to self-serve, programmatic ads online.

It seems also to be good news for investors. “Stripe Issuing is a big step forward,” said Alex Rampell, general partner at Andreessen Horowitz, in a statement. “Not just for the millions of businesses running on Stripe, but for credit cards as a fundamental technology. Businesses can now use an API to create and issue cards exactly when and where they need them, and they can do it in a few clicks, not a few months. As investors, we’re excited by all the potential new companies and business models that will emerge as a result.”

Meanwhile, the revenue “optimization” engine that Stripe is rolling out is built on the same machine learning algorithms that it originally built for Radar, its fraud prevention tool that originally launched in 2016 and was extended to larger enterprises in 2018. This makes a lot of sense, since oftentimes the reason transactions get rejected is because of the suspicion of fraud. Why it’s taken four years to extend that to improve how transactions are approved or rejected is not entirely clear, but Stripe estimates that it could enable a further $2.5 billion in transactions annually.

One reason why the revenue optimization may have taken some time to roll out was because while Stripe offers a very seamless, simple API for users, it’s doing a lot of complex work behind the scenes knitting together a lot of very fragmented payment flows between card issuers, banks, businesses, customers and more in order to make transactions possible.

The third product announcement speaks to how Stripe is simplifying a bit more of that. Now, it’s able to provide direct links into six big card networks — Visa, Mastercard, American Express, Discover, JCB and China Union Pay, which effectively covers the major card networks in North and Latin America, Southeast Asia and Europe. Previously, Stripe would have had to work with third parties to integrate acceptance of all of these networks in different regions, which would have cut into Stripe’s own margins and also given it less flexibility in terms of how it could handle the transaction data.

Launching the revenue optimization by being able to apply machine learning to the transaction data is one example of where and how it might be able to apply more innovative processes from now on.

While Stripe is mainly focused today on how to serve its wider customer base and to just help business continue to keep running, Collison noted that the COVID-19 pandemic has had a measurable impact on Stripe beyond just boosts in business for some of its customers.

The whole company has been working remotely for weeks, including its development team, making for challenging times in building and rolling out services.

And Stripe, along with others, is also in the early stages of piloting how it will play a role in issuing small business loans as part of the CARES Act, he said.

In addition to that, he noted that there has been an emergence of more medical and telehealth services using Stripe for payments.

Before now, many of those use cases had been blocked by the banks, he said, for reasons of the industries themselves being strictly regulated in terms of what kind of data could get passed across networks and the sensitive nature of the businesses themselves. He said that a lot of that has started to get unblocked in the current climate, and “the growth of telemedicine has been off the charts.”

Miro lands $50M Series B for digital whiteboard as demand surges

Miro is a company in the right place at the right time. The makers of a digital whiteboard are seeing usage surge right now as businesses move from the workplace and physical whiteboards. Today, the company announced a hefty $50 million Series B.

Iconiq Capital led the round with help from Accel and a slew of individual investors. Today’s investment brings the total raised to around $75 million, according to the company. Among the company’s angel investors was basketball star Steph Curry.

What’s attracting this level of investment is that this is a product made for a moment when workers are forced to stay home. One of the primary complaints about working at home is the inability to sit in the same room with colleagues and brainstorm around a whiteboard. This reproduces that to an extent.

What’s more, Miro isn’t simply light-weight add-in like you might find built into a collaboration tool like Zoom or Microsoft Teams; it’s more of a platform play designed to integrate with many different enterprise tools, much like Slack does for communications.

Miro co-founder and CEO Andrey Khusid said the company planned the platform idea from its earliest days. “The concept from day one was building something for real-time collaboration and the platform thing is very important because we expect that people will build on top of our product,” Khusid told TechCrunch.

Image Credit: Miro

That means that people can build integrations to other common tools and customize the base tool to meet the needs of an individual team or organization. It’s an approach that seems to be working as the company reports it’s profitable with more than 21,000 customers including 80% of the Fortune 100. Customers include Netflix, Salesforce, PwC, Spotify, Expedia and Deloitte.

Khusid says usage has been skyrocketing among both business and educational customers as the pandemic has forced millions of people to work at home. He says that has been a challenge for his engineering team to keep up with the demand, but one that the company has been able to meet to this point.

The startup just passed the 300 employee mark this week, and it will continue to hire with this new influx of money. Khusid expects to have another 150 employees before the end of the year to keep up with increasing demand for the product.

“We understand that we need to come out strong from this situation. The company is growing much faster than we expected, so we need to have a very strong team to maintain the growth at the same pace after the crisis ends.”

Fishtown Analytics raises $12.9M Series A for its open-source analytics engineering tool

Philadelphia-based Fishtown Analytics, the company behind the popular open-source data engineering tool dbt, today announced that it has raised a $12.9 million Series A round led by Andreessen Horowitz, with the firm’s general partner Martin Casado joining the company’s board.

“I wrote this blog post in early 2016, essentially saying that analysts needed to work in a fundamentally different way,” Fishtown founder and CEO Tristan Handy told me, when I asked him about how the product came to be. “They needed to work in a way that much more closely mirrored the way the software engineers work and software engineers have been figuring this shit out for years and data analysts are still like sending each other Microsoft Excel docs over email.”

The dbt open-source project forms the basis of this. It allows anyone who can write SQL queries to transform data and then load it into their preferred analytics tools. As such, it sits in-between data warehouses and the tools that load data into them on one end, and specialized analytics tools on the other.

As Casado noted when I talked to him about the investment, data warehouses have now made it affordable for businesses to store all of their data before it is transformed. So what was traditionally “extract, transform, load” (ETL) has now become “extract, load, transform” (ELT). Andreessen Horowitz is already invested in Fivetran, which helps businesses move their data into their warehouses, so it makes sense for the firm to also tackle the other side of this business.

“Dbt is, as far as we can tell, the leading community for transformation and it’s a company we’ve been tracking for at least a year,” Casado said. He also argued that data analysts — unlike data scientists — are not really catered to as a group.

Before this round, Fishtown hadn’t raised a lot of money, even though it has been around for a few years now, except for a small SAFE round from Amplify.

But Handy argued that the company needed this time to prove that it was on to something and build a community. That community now consists of more than 1,700 companies that use the dbt project in some form and over 5,000 people in the dbt Slack community. Fishtown also now has over 250 dbt Cloud customers and the company signed up a number of big enterprise clients earlier this year. With that, the company needed to raise money to expand and also better service its current list of customers.

“We live in Philadelphia. The cost of living is low here and none of us really care to make a quadro-billion dollars, but we do want to answer the question of how do we best serve the community,” Handy said. “And for the first time, in the early part of the year, we were like, holy shit, we can’t keep up with all of the stuff that people need from us.”

The company plans to expand the team from 25 to 50 employees in 2020 and with those, the team plans to improve and expand the product, especially its IDE for data analysts, which Handy admitted could use a bit more polish.

Medallia acquires voice-to-text specialist Voci Technologies for $59M

M&A has largely slowed down in the current market, but there remain pockets of activity when the timing and price are right. Today, Medallia — a customer experience platform that scans online reviews, social media, and other sources to provide better insights into what a company is doing right and wrong and what needs to get addressed — announced that it would acquire Voci Technologies, a speech-to-text startup, for $59 million in cash.

Medallia plans to integrate the startup’s AI technology so that voice-based interactions — for example from calls into call centers — can be part of the data crunched by its analytics platform. Despite the rise of social media, messaging channels, and (currently) a shift for people to do a lot more online, voice still accounts for the majority of customer interactions for a business, so this is an important area for Medallia to tackle.

“Voci transcribes 100% of live and recorded calls into text that can be analyzed quickly to determine customer satisfaction, adding a powerful set of signals to the Medallia Experience Cloud,” said Leslie Stretch, president and CEO of Medallia, in a statement. “At the same time, Voci enables call analysis moments after each interaction has completed, optimizing every aspect of call center operations securely. Especially important as virtual and remote contact center operations take shape.”

While there are a lot of speech-to-text offerings in the market today, the key with Voci is that it is able to discern a number of other details in the call, including emotion, gender, sentiment, and voice biometric identity. It’s also able to filter out personal identifiable information to ensure more privacy around using the data for further analytics.

Voci started life as a spinout from Carnegie Mellon University (its three founders were all PhDs from the school), and it had raised a total of about $18 million from investors that included Grotech Ventures, Harbert Growth Parnters, and the university itself. It was last valued at $28 million in March 2018 (during a Series B raise), meaning that today’s acquisition was slightly more than double that value.

The company seems to have been on an upswing with its business. Voci has to date processed some 2 billion minutes of speech, and in January, the company published some momentum numbers that said bookings had grown some 63% in the last quarter, boosted by contact center customers.

In addition to contact centers, the company catered to companies in finance, healthcare, insurance and others areas of business process outsourcing, although it does not disclose names. As with all companies and organizations that have products that cater to offering services remotely, Voci has seen stronger demand for its business in recent weeks, at a time when many have curtailed physical contact due to COVID-19-related movement restrictions.

“Our whole company is delighted to be joining forces with experience management leader Medallia. We are thrilled that Voci’s powerful speech to text capabilities will become part of Medallia Experience Cloud,” said Mike Coney, CEO of Voci, in a statement. “The consolidation of all contact center signals with video, survey and other critical feedback is a game changer for the industry.”

It’s not clear whether Voci had been trying to raise money in the last few months, or if this was a proactive approach from Medallia. But more generally, M&A has found itself in a particularly key position in the world of tech: startups are finding it more challenging right now to raise money, and one big question has been whether that will lead to more hail-mary-style M&A plays, as one route for promising businesses and technologies to avoid shutting down altogether.

For its part, Medallia, which went public in July 2019 after raising money from the likes of Sequoia, has seen its stock hit like the rest of the market in recent weeks. Its current market cap is at around $2.8 billion, just $400 million more than its last private valuation.

The deal is expected to close in May 2020, Medallia said.

 

Comet.ml nabs $4.5M for more efficient machine learning model management

As we get further along in the new way of working, the new normal if you will, finding more efficient ways to do just about everything is becoming paramount for companies looking at buying new software services. To that end, Comet.ml announced a $4.5 million investment today as it tries to build a more efficient machine learning platform.

The money came from existing investors Trilogy Equity Partners, Two Sigma Ventures and Founder’s Co-op. Today’s investment comes on top of an earlier $2.3 million seed.

“We provide a self-hosted and cloud-based meta machine learning platform, and we work with data science AI engineering teams to manage their work to try and explain and optimize their experiments and models,” company co-founder and CEO Gideon Mendels told TechCrunch.

In a growing field with lots of competitors, Mendels says his company’s ability to move easily between platforms is a key differentiator.

“We’re essentially infrastructure agnostic, so we work whether you’re training your models on your laptop, your private cluster or on many of the cloud providers. It doesn’t actually matter, and you can switch between them,” he explained.

The company has 10,000 users on its platform across a community product and a more advanced enterprise product that includes customers like Boeing, Google and Uber.

Mendels says Comet has been able to take advantage of the platform’s popularity to build models based on data customers have made publicly available. The first one involves predicting when a model begins to show training fatigue. The Comet model can see when this happening and signal data scientists to shut the model down 30% faster than this kind of fatigue would normally surface.

The company launched in Seattle at TechStars/Alexa in 2017. The community product debuted in 2018.