Iterative, an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. Previous investors True Ventures and Afore Capital also participated in this round, which brings the company’s total funding to $25 million.

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack.

After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013. He noted that the industry has changed quite a bit since then. While early on, the questions were about how to build machine learning models, today the problem is how to build predictable processes around machine learning, especially in large organizations with sizable teams. “How can we make the team productive, not the person? This is a new challenge for the entire industry,” he said.

Big companies (like Microsoft) were able to build their own proprietary tooling and processes to build their AI operations, Petrov noted, but that’s not an option for smaller companies.

Currently, Iterative’s stack consists of a couple of different components that sit on top of tools like GitLab and GitHub. These include DVC for running experiments and data and model versioning, CML, the company’s CI/CD platform for machine learning, and the company’s newest product, Studio, its SaaS platform for enabling collaboration between teams. Instead of reinventing the wheel, Iterative essentially provides data scientists who already use GitHub or GitLab to collaborate on their source code with a tool like DVC Studio that extends this to help them collaborate on data and metrics, too.

Image Credits: Iterative

“DVC Studio enables machine learning developers to run hundreds of experiments with full transparency, giving other developers in the organization the ability to collaborate fully in the process,” said Petrov. “The funding today will help us bring more innovative products and services into our ecosystem.”

Petrov stressed that he wants to build an ecosystem of tools, not a monolithic platform. When the company closed this current funding round about three months ago, Iterative had about 30 employees, many of whom were previously active in the open-source community around its projects. Today, that number is already closer to 60.

“Data, ML and AI are becoming an essential part of the industry and IT infrastructure,” said Leibert, general partner at 468 Capital. “Companies with great open-source adoption and bottom-up market strategy, like Iterative, are going to define the standards for AI tools and processes around building ML models.”

When Cloudera announced its sale to a pair of private equity firms yesterday for $5.3 billion, along with a couple of acquisitions of its own, the company detailed a new path that could help it drive back toward relevance in the big data market.

When the company launched in 2008, Hadoop was in its early days. The open-source project developed at Yahoo three years earlier was built to deal with the large amounts of data that the internet pioneer generated. It became increasingly clear over time that every company would have to deal with growing data stores, and it seemed that Cloudera was in the right market at the right time.

And for a while things went well. Cloudera rode the Hadoop startup wave, garnering a cool billion in funding along the way, including a stunning $740 million check from Intel Capital in 2014. It then went public in 2018 to much fanfare.

But the markets had already started to shift by the time of its public debut. Hadoop, a highly labor-intensive way to manage data, was being supplanted by cheaper and less complex cloud-based solutions.

“The excitement around the original promise of the Hadoop market has contracted significantly. It’s incredibly expensive and complex to get it working effectively in an enterprise context,” Casey Aylward, an investor at Costanoa Ventures told TechCrunch.

The company likely saw that writing on the wall when it merged with another Hadoop-based company, Hortonworks, in 2019. That transaction valued the combined entity at $5.2 billion, almost the same amount it sold for yesterday, two years down the road. The decision to sell and go private may also have been spurred by Carl Icahn buying an 18% stake in the company that same year.

Looking to the future, Cloudera’s sale could provide the enterprise unicorn room as it regroups.

Patrick Moorhead, founder and principal analyst at Moor Insight & Strategies, sees the deal as a positive step for the company. “I think this is good news for Cloudera because it now has the capital and flexibility to dive head first into SaaS. The company invented the entire concept of a data life cycle, implemented initially on premises, then extended to private and public clouds,” Moorhead said.

Adam Ronthal, Gartner Research VP, agrees that it at least gives Cloudera more room to make necessary adjustments to its market strategy as long as it doesn’t get stifled by its private equity overlords. “It should give Cloudera an opportunity to focus on their future direction with increased flexibility — provided they are able to invest in that future and that this does not just focus on cost cutting and maximizing profits. Maintaining a culture of innovation will be key,” Ronthal said.

Which brings us to the two purchases Cloudera also announced as part of its news package.

If you want to change direction in a hurry, there are worse ways than via acquisitions. And grabbing Datacoral and Cazena should help Cloudera alter its course more quickly than it could have managed on its own.

“[The] two acquisitions will help Cloudera capture some of the value on top of the lake storage layer — perhaps moving into different data management features and/or expanding into the compute layer for analytics and AI/ML use cases, where there has been a lot of growth and excitement in recent years,” Aylward said.

Chandana Gopal, research director for the future of intelligence at IDC, agrees that the transactions give Cloudera some more modern options that could help speed up the data-wrangling process. “Both the acquisitions are geared towards making the management of cloud infrastructure easier for end-users. Our research shows that data prep and integration takes 70%-80% of an analyst’s time versus the time spent in actual analysis. It seems like both these companies’ products will provide technology to improve the data integration/preparation experience,” she said.

The company couldn’t stay on the path it was on forever, certainly not with an activist investor breathing down its neck. Its recent efforts could give it the time away from public markets it needs to regroup. How successful Cloudera’s turnaround proves to be will depend on whether the private equity companies buying it can both agree on the direction and strategy for the company, while providing the necessary resources to push the company in a new direction. All of that and more will determine if these moves pay off in the end.

Another week, another unicorn IPO. This time, Sprinklr is taking on the public markets.

The New York-based software company works in what it describes as the customer experience market. After attracting over $400 million in capital while private, its impending debut will not only provide key returns to a host of venture capitalists but also more evidence that New York’s startup scene has reached maturity. (More evidence here.)

The Exchange explores startups, markets and money. 

Read it every morning on Extra Crunch or get The Exchange newsletter every Saturday.

Sprinklr last raised a $200 million round at a $2.7 billion valuation in September 2020. That round, as TechCrunch reported, also included a host of secondary shares and $150 million in convertible notes. Inclusive of the latter instrument, Sprinklr’s total capital raised to date soars above the $500 million mark.

Temasek Holdings, Battery Ventures, ICONIQ Capital, Intel Capital and others have plugged funds into Sprinklr during its startup days.

Sure, Robinhood didn’t file last week as many folks hoped, but the Sprinklr IPO ensures that we’ll have more than just SPACs to chat about in the coming days. But one thing at a time. Let’s discuss what Sprinklr does for a living.

Sprinklr’s business

Sprinklr’s IPO filing and corporate website suffer from a slight case of corporate speak, so we have some work to do this morning to determine what the company does. Here’s what the company says about itself in its filing:

Sprinklr empowers the world’s largest and most loved brands to make their customers happier.

We do this with a new category of enterprise software — Unified Customer Experience Management, or Unified-CXM — that enables every customer-facing function across the front office, from Customer Care to Marketing, to collaborate across internal silos, communicate across digital channels, and leverage a complete suite of modern capabilities to deliver better, more human customer experiences at scale — all on one unified, AI-powered platform.

Not very clear, yeah? Don’t worry, I’ve got you. Here’s what the company actually does:

Despite a recent history of uneven cash flow and moderate growth, SaaS customer experience management platform Sprinklr has filed to go public.

In today’s edition of The Exchange, Alex Wilhelm pores over the New York-based unicorn’s S-1 to better understand exactly what Sprinklr offers: “Marketing and comms software, with some machine learning built in.”

Despite 19% growth in revenue over the last fiscal year, its deficits increased during the same period. But with more than $250 million in cash available, “Sprinklr is not going public because it needs the money,” says Alex.

Since we were off yesterday for Memorial Day, today’s roundup is brief, but we’ll have much more to recap on Friday. Thanks very much for reading Extra Crunch!

Walter Thompson
Senior Editor, TechCrunch
@yourprotagonist

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Once a buzzword, digital transformation is reshaping markets

Image Credits: metamorworks / Getty Images

The changes brought by a global shift to remote work and schooling are myriad, but in the business realm, they have yielded a change in corporate behavior and consumer expectations — changes that showed up in a bushel of earnings reports last week.

Startups have told us for several quarters that their markets are picking up momentum as customers shake up buying behavior with a distinct advantage for companies helping users move into the digital realm.

Public company results are now confirming the startups’ perspective. The accelerating digital transformation is real, and we have the data to prove it.

3 views on the future of meetings

Image Credits: Yann Maignan (opens in a new window) / Unsplash (opens in a new window)

In a recent episode of TechCrunch Equity, hosts Danny Crichton, Natasha Mascarenhas and Alex Wilhelm connected the dots between multiple funding rounds to sketch out three perspectives on the future of workplace meetings.

Each agreed that the traditional meeting is broken, so we gathered their perspectives about where the industry is heading and which aspects are ripe for disruption:

• Alex Wilhelm: Faster information throughput, please.
• Natasha Mascarenhas: Meetings should be ongoing, not in calendar invites.
• Danny Crichton: Redesign meetings for flow.

The notion of digital transformation evolved from a buzzword joke to a critical and accelerating fact during the COVID-19 pandemic. The changes wrought by a global shift to remote work and schooling are myriad, but in the business realm they have yielded a change in corporate behavior and consumer expectation — changes that showed up in a bushel of earnings reports this week.

TechCrunch may tend to have a private-company focus, but we do keep tabs on public companies in the tech world as they often provide hints, notes and other pointers on how startups may be faring. In this case, however, we’re working in reverse; startups have told us for several quarters now that their markets are picking up momentum as customers shake up their buying behavior with a distinct advantage for companies helping customers move into the digital realm. And public company results are now confirming the startups’ perspective.

The accelerating digital transformation is real, and we have the data to support the point.

What follows is a digest of notes concerning the recent earnings results from Box, Sprout Social, Yext, Snowflake and Salesforce. We’ll approach each in micro to save time, but as always there’s more digging to be done if you have time. Let’s go!

Enterprise earnings go up

Kicking off with Yext, the company beat expectations in its most recent quarter. Today its shares are up 18%. And a call with the company’s CEO Howard Lerman underscored our general thesis regarding the digital transformation’s acceleration.

In brief, Yext’s evolution from a company that plugged corporate information into external search engines to building and selling search tech itself has been resonating in the market. Why? Lerman explained that consumers more and more expect digital service in response to their questions — “who wants to call a 1-800 number,” he asked rhetorically — which is forcing companies to rethink the way they handle customer inquiries.

In turn, those companies are looking to companies like Yext that offer technology to better answer customer queries in a digital format. It’s customer-friendly, and could save companies money as call centers are expensive. A change in behavior accelerated by the pandemic is forcing companies to adapt, driving their purchase of more digital technologies like this.

It’s proof that a transformation doesn’t have to be dramatic to have pretty strong impacts on how corporations buy and sell online.