Arthur.ai snags $15M Series A to grow machine learning monitoring tool

At a time when more companies are building machine learning models, Arthur.ai wants to help by ensuring the model accuracy doesn’t begin slipping over time, thereby losing its ability to precisely measure what it was supposed to. As demand for this type of tool has increased this year, in spite of the pandemic, the startup announced a $15 million Series A today.

The investment was led by Index Ventures with help from new comers Acrew and Plexo Capital along with previous investors Homebrew, AME Ventures and Work-Bench.The round comes almost exactly a year after its $3.3 million seed round.

As CEO and co-founder Adam Wenchel explains, data scientists build and test machine learning models in the lab under ideal conditions, but as these models are put into production, the performance can begin to deteriorate under real world scrutiny. Arthur.AI is designed to root out when that happens.

Even as COVID has wreaked havoc throughout much of this year, the company has grown revenue 300% in the last six months smack dab in the middle of all that. “Over the course of 2020, we have begun to open up more and talk to [more] customers. And so we are starting to get some really nice initial customer traction, both in traditional enterprises as well as digital tech companies,” Wenchel told me. With 15 customers, the company is finding that the solution is resonating with companies.

It’s interesting to note that AWS announced a similar tool yesterday at re:Invent called SageMaker Clarify, but Wenchel sees this as more of a validation of what his startup has been trying to do, rather than an existential threat. “I think it helps create awareness, and because this is our 100% focus, our tools go well beyond what the major cloud providers provide,” he said.

Investor Mike Volpi from Index certainly sees the value proposition of this company. “One of the most critical aspects of the AI stack is in the area of performance monitoring and risk mitigation. Simply put, is the AI system behaving like it’s supposed to?,” he wrote in a blog post announcing the funding.

When we spoke a year ago, the company had 8 employees. Today it has 17 and it expects to double again by the end of next year. Wenchel says that as a company whose products looks for different types of bias, it’s especially important to have a diverse workforce. He says that starts with having a diverse investment team and board makeup, which he has been able to achieve, and goes from there.

“We’ve sponsored and work with groups that focus on both general sort of coding for different underrepresented groups as well as specifically AI, and that’s something that we’ll continue to do. And actually I think when we can get together for in person events again, we will really go out there and support great organizations like AI for All and Black Girls Code,” he said. He believes that by working with these groups, it will give the startup a pipeline to underrepresented groups, which they can draw upon for hiring as the needs arise.

Wenchel says that when he can go back to the office, he wants to bring employees back, at least for part of the week for certain kinds of work that will benefit from being in the same space.


By Ron Miller

Grid AI raises $18.6M Series A to help AI researchers and engineers bring their models to production

Grid AI, a startup founded by the inventor of the popular open-source PyTorch Lightning project, William Falcon, that aims to help machine learning engineers more efficiently, today announced that it has raised an $18.6 million Series A funding round, which closed earlier this summer. The round was led by Index Ventures, with participation from Bain Capital Ventures and firstminute. 

Falcon co-founded the company with Luis Capelo, who was previously the head of machine learning at Glossier. Unsurprisingly, the idea here is to take PyTorch Lightning, which launched about a year ago, and turn that into the core of Grid’s service. The main idea behind Lightning is to decouple the data science from the engineering.

The time argues that a few years ago, when data scientists tried to get started with deep learning, they didn’t always have the right expertise and it was hard for them to get everything right.

“Now the industry has an unhealthy aversion to deep learning because of this,” Falcon noted. “Lightning and Grid embed all those tricks into the workflow so you no longer need to be a PhD in AI nor [have] the resources of the major AI companies to get these things to work. This makes the opportunity cost of putting a simple model against a sophisticated neural network a few hours’ worth of effort instead of the months it used to take. When you use Lightning and Grid it’s hard to make mistakes. It’s like if you take a bad photo with your phone but we are the phone and make that photo look super professional AND teach you how to get there on your own.”

As Falcon noted, Grid is meant to help data scientists and other ML professionals “scale to match the workloads required for enterprise use cases.” Lightning itself can get them partially there, but Grid is meant to provide all of the services its users need to scale up their models to solve real-world problems.

What exactly that looks like isn’t quite clear yet, though. “Imagine you can find any GitHub repository out there. You get a local copy on your laptop and without making any code changes you spin up 400 GPUs on AWS — all from your laptop using either a web app or command-line-interface. That’s the Lightning “magic” applied to training and building models at scale,” Falcon said. “It is what we are already known for and has proven to be such a successful paradigm shift that all the other frameworks like Keras or TensorFlow, and companies have taken notice and have started to modify what they do to try to match what we do.”

The service is now in private beta.

With this new funding, Grid, which currently has 25 employees, plans to expand its team and strengthen its corporate offering via both Grid AI and through the open-source project. Falcon tells me that he aims to build a diverse team, not in the least because he himself is an immigrant, born in Venezuela, and a U.S. military veteran.

“I have first-hand knowledge of the extent that unethical AI can have,” he said. “As a result, we have approached hiring our current 25 employees across many backgrounds and experiences. We might be the first AI company that is not all the same Silicon Valley prototype tech-bro.”

“Lightning’s open-source traction piqued my interest when I first learned about it a year ago,” Index Ventures’ Sarah Cannon told me. “So intrigued in fact I remember rushing into a closet in Helsinki while at a conference to have the privacy needed to hear exactly what Will and Luis had built. I promptly called my colleague Bryan Offutt who met Will and Luis in SF and was impressed by the ‘elegance’ of their code. We swiftly decided to participate in their seed round, days later. We feel very privileged to be part of Grid’s journey. After investing in seed, we spent a significant amount with the team, and the more time we spent with them the more conviction we developed. Less than a year later and pre-launch, we knew we wanted to lead their Series A.”


By Frederic Lardinois

Figma’s Community lets designers share and remix live files

As designers grow both in sheer numbers and within the hierarchy of organizations, design tool makers are adapting to their evolving needs in different ways. Figma, the web-based collaborative design tool, is taking a note from the engineering revolution of the early aughts.

“What if there were a GitHub for designers?” mused Dylan Field, early on in the lifecycle of Figma as a company. Today, that vision is brought to life with the launch of Figma Community. (Figma Community is launching in a closed beta for now.)

In a crowded space, with competitors like Adobe, InVision, Sketch and more, Figma differentiates itself on its web-based multiplayer approach. Figma is a design tool that works like Google Docs, with multiple designers in the same file, working alongside one another without disrupting each other.

But that’s just the base level of the overall collaboration that Figma believes designers crave. Field told us that he sees a clear desire from designers to not only share their work, whether it’s on a portfolio webpage or on social media, as well as a desire to learn from the work of other designers.

And yet, when a creative shares a design on social media, it’s just a static image. Other designers can’t see how it went from a blank page to an interesting design, and are left to merely appreciate it without learning anything new.

With Figma Community, designers and even organizations can share live design files that others can inspect, remix and learn from.

Individual designers can set up their own public-facing profile page to show off their designs, as well as intra-organization profile pages so other team members within their organization can learn from each other. On the other hand, organizations can publicly share their design systems and philosophy on their own page.

For example, the city of Chicago has set up a profile on Figma Community for other designers to follow the city’s design system in their own materials.

As far as remixing design files goes, Figma is using a CC4 license, which allows for a remix but forces attribution. That said, Field says the company is using this closed beta period to learn more about what the community wants around different license types.

Community is free and is not meant to drive revenue for the company, but rather offer further value to designers using the platform.

“It’s early,” said Dylan Field. “This is just the scaffolding of what’s to come. It’s the start of a lot of work that we’re going to be doing in the area of collaboration and community.”

Figma has raised a total of $83 million from investors like Index, Sequoia, Kleiner Perkins and Grelock, according to Crunchbase.


By Jordan Crook

Clumio raises $51M to bring enterprise backup into the 21st century

Creating backups for massive enterprise deployments may feel like a solved problem, but for the most part, we’re still talking about complex hardware and software setups. Clumio, which is coming out of stealth today, wants to modernize enterprise data protection by eliminating the on-premise hardware in favor of a flexible, SaaS-style cloud-based backup solution.

For the first time, Clumio also today announced that it has raised a total of $51 million in a Series A and B round since it was founded in 2017. The $11 million Series A round closed in October 2017 and the Series B round in November 2018, Clumio founder and CEO Poojan Kumar told me. Kumar’s previous company, storage startup PernixData, was acquired by Nutanix in 2016. It doesn’t look like the investors made their money back, though.

Clumio is backed by investors like Sutter Hill Ventures, which led the Series A, and Index Ventures, which drove the Series B together with Sutter Hill. Other individual investors include Mark Leslie, founder of Veritas Technologies, and John Thompson, chairman of the board at Microsoft .

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“Enterprise workloads are being ‘SaaS-ified’ because IT can no longer afford the time, complexity and expense of building and managing heavy on-prem hardware and software solutions if they are to successfully deliver against their digital transformation initiatives,” said Kumar. “Unlike legacy backup vendors, Clumio SaaS is born in the cloud. We have leveraged the most secure and innovative cloud services available, now and in the future, within our service to ensure that we can meet customer requirements for backup, regardless of where the data is.”

In its current iteration, Clumio can be used to secure data from on-premise, VMware Cloud for AWS and native AWS service workloads. Given this list, it doesn’t come as a surprise that Clumio’s backend, too, makes extensive use of public cloud services.

The company says that it already has several customers, though it didn’t disclose any in today’s announcement.


By Frederic Lardinois

Beamery closes $28M Series B to stoke support for its ‘talent CRM’

Beamery, a London-based startup that offers self-styled “talent CRM”– aka ‘candidate relationship management’ — and recruitment marketing software targeted at fast-growing companies, has closed a $28M Series B funding round, led by EQT Ventures.

Also participating in the round are M12, Microsoft’s venture fund, and existing investors Index Ventures, Edenred Capital Partners and Angelpad Fund. Beamery last raised a $5M Series A, in April 2017, led by Index.

Its pitch centers on the notion of helping businesses win a ‘talent war’ by taking a more strategic and pro-active approach to future hires vs just maintaining a spreadsheet of potential candidates.

Its platform aims to help the target enterprises build and manage a talent pool of people they might want to hire in future to get out ahead of the competition in HR terms, including providing tools for customized marketing aimed at nurture relations with possible future hires.

Customer numbers for Beamery’s software have stepped up from around 50 in April 2017 to 100 using it now — including the likes of Facebook (which is using it globally), Continental, VMware, Zalando, Grab and Balfour Beatty.

It says the new funding will be going towards supporting customer growth, including by ramping up hiring in its offices in London (HQ), Austin and San Francisco.

It also wants to expand into more markets. “We’re focusing on some of the world’s biggest global businesses that need support in multiple timezones and geographies so really it’s a global approach,” said a spokesman on that.

“Companies adopting the system are large enterprises doing talent at scale, that are innovative in terms of being proactive about recruiting, candidate experience and employer brand,” he added.

A “significant” portion of the Series B funds will also go towards R&D and produce development focused on its HR tech niche.

“Across all sectors, there’s a shift towards proactive recruitment through technology, and Beamery is emerging as the category leader,” added Tom Mendoza, venture lead and investment advisor at EQT, in a supporting statement.

“Beamery has a fantastic product, world-class high-ambition founders, and an outstanding analytics-driven team. They’ve been relentless about building the best talent CRM and marketing platform and gaining a deep understanding of the industry-wide problems.”


By Natasha Lomas