mike volpi
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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 newcomers 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 eight employees. Today it has 17 and it expects to double again by the end of next year. Wenchel says that as a company whose product 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.
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Early last year, LinkedIn co-founder and prolific venture capital investor Reid Hoffman called Chris Urmson “the Henry Ford of autonomous vehicles (AV).” The vote of confidence and big check from Hoffman, coupled with a team of deeply knowledgable AV entrepreneurs, has catapulted his company, Aurora Innovation, squarely into “unicorn” territory.
Aurora, the developer of a full-stack self-driving software system for automobile manufacturers, is raising at least $500 million in equity funding at more than a $2 billion valuation in a round expected to be led by new investor Sequoia Capital, according to a Recode report. A $500 million financing would bring Aurora’s total raised to date to $596 million and would provide a 4x increase to its most recent valuation.
The company, founded in 2016, raised a $90 million Series A last February from Hoffman’s Greylock Partners and Index Ventures . Hoffman and Index general partner Mike Volpi joined Aurora’s board as part of the deal. Greylock and Index are Aurora’s only existing investors, per PitchBook data. The young business has a lean cap table often characteristic of startup’s led by experienced entrepreneurs able to secure financing deals briskly from top VCs.
Aurora’s C-suite is chock-full of veteran AV workers. Urmson, for his part, formerly headed up the self-driving vehicles program at Google, now known as Waymo. Chief technology officer Drew Bagnell was head of perception and autonomy at Uber and Sterling Anderson, Aurora’s chief product officer, directed the autopilot program at Tesla from 2015 to 2016.
“Between these three co-founders, they have been thinking and working collectively in robotics, automation automotive products for over 40 years,” Hoffman wrote in a blog post announcing Aurora’s Series A funding.
In addition to the high-caliber of the founding team, Aurora’s collaborative approach to building self-driving cars has attracted investors, too. The company has partnered with a number of automotive retailers to integrate its technology into their vehicles and make self-driving cars a “practical reality.” Currently, Aurora counts Volkswagen, Hyundai and Chinese manufacturer Byton as partners.
2018 was a banner year for VC investment in U.S. autonomous vehicle startups. In total, investors poured $1.6 billion across 58 deals, nearly doubling 2017’s high of $893 million. Around the world, AV startups secured $3.41 billion, on par with the $3.48 billion invested in 2017, per PitchBook.
Though we are just days into 2019, LiDAR technology developer AEye has completed a previously announced $40 million Series B. The Pleasanton, Calif.-headquartered company raised the funds from Taiwania Capital, Kleiner Perkins, Intel Capital, Airbus Ventures and Tychee Partners. And last week, Sydney-based Baraja, another LiDAR startup, brought in a $32 million Series A from Sequoia China, Main Sequence Ventures’ CSIRO Innovation Fund and Blackbird Ventures.
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The first time Waseem Daher, Jessica McKellar, and Jeff Arnold worked together on a startup, they built one that allowed administrators to patch security updates to a system without having to restart it.
So it might come as a bit of a surprise that the next big technical challenge the three MIT graduates want to tackle is bookkeeping . But after selling Ksplice to Oracle back in 2011, it was actually the financial software they had built internally that made the jaws of the finance teams at Oracle drop, Daher said. They had created a continuously-updating internal version of QuickBooks, keeping a close eye on their spending and accounting and not having do hire a bookkeeper to do so, out of pure frustration with the process. And today that’s basically launching as Pilot, a startup that has now raised $15 million in a financing round led by Index Ventures.
“If you look at the history of bookkeeping, it goes back to the 1400s,” Daher said. “Probably the oldest written records were of transactions. Around 1400s, we invented double-entry bookkeeping, a system for how money moves into and out of various accounts of companies. That system, as articulated in 1400 in Venice, is basically still what people do in every American business today. You hire a bookkeeper or bookkeeping firm, you send them all your stuff and they track and produce the set of books. The way it’s done today is the same way it’s done in the 90s, the 40s.”
When a company starts working with Pilot, the actual core experience on the customer side doesn’t really change all that much: they still work with a human on the other end. But the bookkeeper from Pilot is working with the internal tools they have built to bring in the data from the company, organize it and structure it, and produce a set of books that are more accurate than someone might have produced than just doing it by hand. Customers will get the kinds of questions you might expect from a normal bookkeeper as they look to clarify what’s happening, but in the end the process happens much more seamlessly. They can integrate directly with their existing services like Expensify or Gusto (or ask Pilot to help out with that) and then go from there.
That kind of human-software mix is something that’s increasingly common in services businesses — like Pilot — as the tech industry figures out what should be automated and what should still be handled by a person. There are still a lot of things that a person can catch, but there’s also the actual human relationship, which isn’t a kind of repetitive task you’d want to automate with an algorithm. To begin, Pilot isn’t trying to force companies to completely rip out their bookkeeping software and start from scratch, and instead start to collect the electronic information they already have.
“Uber’s like that, the drivers are humans but the software makes them much more effective,” Index Ventures’ Mike Volpi said. “You can see it in a lot of applications where in IT support there’s a few businesses like this, you troubleshoot using software, and when you can’t you fix it pass it to humans. In customer service chats, a lot of times it’s an AI, and when the questions get tricky enough it rolls over to humans. It’s interesting because there are tasks which humans are fundamentally needed and there are tasks that are mundane that software can do and the human can avoid doing. It’s an interesting thesis around this hybrid.”
Prior to Pilot, the team sold another company to Dropbox called Zulip, and spent some time at the company as it continued to scale up (Dropbox is now in the process of going public). Some of the challenge alone was somehow assembling a team that found some fascination with the intersection of accounting, machine learning and working directly with customers, but so far McKellar said that they’ve been able to put one together thus far. And, more importantly, now that they are starting to roll out their service they can start getting some perspective on the industry as a whole.
“I think people can get motivated by almost any problem if you know you’re tackling a big problem for many people,” McKellar said. “But there’s quite a lot of subtlety to what we’re building. The rules and principles of bookkeeping are well define but the real world is really messy, and designing the right systems to automate bookkeeping at scale is actually a tricky thing. We have an incredible engineering team that is able to tackle this with the right mindset it. The analogy you can draw is self-driving cars — that’s a system normally done by a human, everyone understands what it takes to drive a car, what actions you should take. It’s difficult for people to put into words, what are the rules given a set of inputs, but it needs to work and be reliable.”
As more and more of this information comes in, and more and more companies start to work with Pilot, they can start spotting trends in the industry. For example, if a 17th SaaS business with a similar business model to other Pilot companies signs up, they could down the line take a look at their info and spot potential discrepancies based on anonymized trend data picked up from other comparables in the industry — or do a better job of spotting inefficiencies or others. And there are some obvious funnels for this already, like getting the right information for tax purposes to accountants.
There’s going to be a lot of increasing activity in this space, though. Already you’re seeing some funded projects like botkeeper, which are looking to find some ways to automate a bookkeeping service. There’s nothing quite so formalized and an obvious tool that looks to take out QuickBooks (and, again, a lot of these seem to be playing nice for now), and there’s always the chance that Intuit could try to take on the space itself. But at the end of the day, Volpi says it’s based on the team that they’ve assembled — and that combination of humans and algorithms — that gives them a shot at succeeding.
“If you look at a fundamental level, the bookkeeping for the doctor’s office or florist, it is really all following the same underlying principles,” McKellar said. “One of the engineering challenges is to build the tooling and systems and software in a way that’s intelligent. It has to be a set of processes that can flexibly accommodate every vertical over time. In some sense this company, why we raised this, was to validate a huge hypothesis — it’s possible to automate bookkeeping at scale across a range of industries.”
Here’s the rest of the investors in this round, since it’s a long list: Patrick and John Collison, Drew Houston, Diane Greene, Frederic Kerrest, Hans Robertson, Adam D’Angelo, Paul English, Howard Lerman, Joshua Reeves, Tien Tzuo, as well as many others.
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