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A Dallas-based founder looks to tackle the student loan crisis with his startup, College Cash
Demetrius Curry has spent the last couple years chasing a dream.
His startup, College Cash, allows brands to petition users to create photo and video marketing content highlighting their product or service, with the wrinkle being that content creators are paid by the brands in the form of credits that go directly toward paying down their student loan debt. This model awards the brands involved a level of social good will and tax benefits.
The Dallas-area founder was inspired to tackle the student loan debt crisis after talking with his daughter about the prospect of eventually paying down her own loan debt. Curry has spent the past two years building out the nascent platform, tracking down brand partners, navigating accelerator programs, enticing users and pounding the pavement to find investors willing to bet on his vision.
College Cash has raised $105,000 to date, and is hoping to eventually wrap the funding into a $1 million seed round.
Filling out the round has been its own challenge for Curry, who has struggled at times to find opportunity, even among historic levels of capital flowing into the startup ecosystem, a distinction that has been less noticeable for black founders that still make up just a small percentage of VC allocation. In the aftermath of last summer’s protests against police brutality, a number of venture capital firms issued statements decrying institutional racism and pledging to back more underserved founders, spinning up new programs for diverse founders.
Demetrius Curry, CEO of College Cash
While Curry says he appreciates the scope of the problem and the good intentions of those making the statements, he believes that venture capital networks still have a lot to learn about what being an “underserved” founder means, and that plenty of the existing efforts feel like “lip service.” He says that even as Silicon Valley continues to idolize dropouts from prestigious universities, stakeholders have less interest in recognizing the accomplishments of founders who fought their way through poverty or found opportunity in geographies where opportunities are harder to come by.
“You can’t look for something different if you’re looking in the same places,” Curry tells TechCrunch. “When you look at the topic of ‘underserved founders,’ it’s not only a skin color thing, it’s also about where they came from and what they’ve been through.”
Curry says that it can be frustrating to compete for early-stage opportunities when investors aren’t willing to meaningfully adjust their parameters. Of particular frustration to Curry has been navigating the world of “warm introductions” to even get a foot in the door for programs meant for diverse founders, or applying for early-stage programs geared toward the “underserved” only to be told that they weren’t far enough along to qualify.
“Think about how much we had to go through to even get in the room with you,” Curry says. “I’ve sold plasma to pay a web hosting fee, nothing is going to stop me.”
College Cash’s mission of expanding opportunities for people struggling to manage their student loan debt is personal to Curry, who saw his life turn around after going back to school.
Decades ago, fresh out of the military, Curry said he had a random conversation with a stranger while eating at a Hardee’s — the discussion about what more he wanted from life ended up pushing him to to go back and get his GED and later a business degree. What followed was a career in finance that eventually led toward his recent entrepreneurial pursuits with College Cash.
The platform is firmly an early-stage venture at the moment, but Curry has big ambitions he’s building toward. His next effort is building out a College Cash tipping integration with gig economy platforms, with the aim that users of those platforms could ultimately opt to tip a worker and route that money directly toward paying down that person’s student loan debt.
Curry says the team at College Cash has been working with a “national gig economy platform” to run a pilot of the integration and has run focus groups showing that users are more likely to tip when they know that money goes toward erasing loan debt.
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Drata raises $3.2M for its compliance audit platform
Drata, a startup that helps businesses get their SOC 2 compliance, today announced that it has raised a $3.2 million seed round led by Cowboy Ventures and that it is coming out of stealth. Other investors include Leaders Fund, SV Angel and a group of angel investors.
Like similar services, Drata helps businesses automate a lot of the evidence collection as they prepare for a SOC 2 audit. The focus of the service is obviously on running tests against the SOC 2 framework to help businesses prepare for their audit (and to prepare the right materials for the auditor). To do so, it features integrations with a lot of standard online business tools and cloud services to regularly pull in data. One nifty feature is that it also lets you step through all of the various sections of the SOC 2 criteria to check your current readiness for an audit.
At the end of the day, tools like Drata are meant to get you through an audit, but at the same time, the idea here is also to give you a better idea of your own security posture. For that, Drata offers continuous control monitoring, as well as tools to track if your employees have turned on all the right controls on their work computers, for example. Because companies have to regularly renew their certification, too, Drata can help them to continuously collect all of the data for their renewal, something that previously often involved boring — and quickly forgotten — manual tasks, like taking screenshots of various settings every month or so.
Image Credits: Drata
Drata co-founder and CEO Adam Markowitz worked on the space shuttle engines after graduating from college, and then launched his own startup, Portfolium, when that program ended. Portfolium, which helped students showcase their work in the form of — you guessed it — a portfolio, eventually sold to Instructure in 2019, where Markowitz stayed on until he launched Drata last June, together with a group of former Portfolium founders and engineers. Besides Markowitz, the co-founders include CTO Daniel Marashlian and CRO Troy Markowitz. It was the team’s experience seeing companies go through the audit process, which has traditionally been a drawn-out and manual process, that led them to look at building their own solution.
The company already managed to sign up a number of customers ahead of its official launch. These include Spot by NetApp, Accel Robotics, Abnormal Security, Chameleon and Vareto. As Markowitz told me, even though Drata already had customers that were using the service to prepare for their audits, the team wanted to remain in stealth mode until it had used its own tool to go through its own audit. With that out of the way, and Drata receiving its SOC 2 certification, it’s now ready to come out of stealth.
As the number of companies that need to go through these kinds of audits increases, it’s maybe no surprise that we’re also seeing a growing number of companies that aim to automate much of this process. With that, unsurprisingly, the number of VC investments in this space also continues to increase. In recent months, Secureframe and Strike Graph announced their own funding rounds, for example.
Image Credits: Drata
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Niantic buys competitive gaming platform Mayhem
Pokémon GO creator Niantic has acquired a small SF gaming startup building a league and tournament organization platform to help gamers create their own communities around popular titles.
Mayhem was in Y Combinator’s winter 2018 batch and went on to raise $5.7 million in funding, according to Crunchbase. Other backers include Accel, which led the startup’s Series A in 2018, Afore Capital and NextGen Venture Partners.
The startup’s focus has shifted quite a bit since its initial YC debut, when it announced a service called Visor that would analyze video of esports gameplay and coach users on how they could improve their performance. The company has seemed to shift its focus wholly to community tools to help gamers find matches and organize tournaments for games like Overwatch on its platform.
Terms of the acquisition weren’t disclosed by Niantic .
The “majority” of Mayhem’s team will be joining Niantic with the startup’s CEO Ivan Zhou landing in the company’s Social Platform Product team while the rest of the team joins Platform Engineering.
In a statement, Niantic asserts that the acquisition “reinforces our commitment to real-world social as the centerpiece of our mission.”
Most of Niantic’s acquisitions of late have focused on augmented reality backend technologies, so it’s interesting to see them buying tech that focuses on community organization.
Pokémon GO continues to be Niantic’s cash cow, though the company hasn’t seen the same levels of viral success with subsequent releases where organic growth hasn’t been quite as easy to come by. Buying a startup building community tools suggests the company is ready to bring in some outside tech to push their own efforts forward as they strive to create a broader platform for their AR ambitions and more standalone hits of their own.
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5 questions about 2021’s startup market
Welcome to 2021, a year that could extend 2020’s startup market disruptions and excesses — or change patterns that previously performed well for early-stage tech companies and their investors.
The Exchange explores startups, markets and money. Read it every morning on Extra Crunch, or get The Exchange newsletter every Saturday.
As we turn the page, I have a number of questions worth raising as we muck into 2021.
Each relates to a 2020 change that is expected to persist, by either the general market or those bullish on startups. I want to know what would need to change to shake up what became the new normal last year. After all, it’s precisely when it feels like nothing could shake up a downturn (or a boom) that things often do.
Today, let’s discuss seed deals, venture investing cadence, the resulting valuation pressures from rapid-fire bets, current IPO expectations and what happens to software sales when remote work begins to fade.
1. How long can seed deal-making stay hot?
As 2020 came to a close, Natasha Mascarenhas and I reported on seed investing’s strong year and its especially strong second half. How long can that pace keep up?
Nearly all our questions today deal with the endurance of certain conditions, namely: how long the market can keep parts of startup land red-hot.
When it comes to seed deal-making, Q1 and Q2 2020 saw similar levels of investment in the United States. But Q3 proved explosive, with money invested into domestic seed deals rising from around $1.5 to $1.6 billion during the first two quarters to $2.2 billion in the July-September period.
Q4 numbers are yet to fully come in, but it’s clear that private investors were incredibly bullish on early-stage startups in the second half of 2020. How long can that keep up? I think the answer is for a while yet, as investors have shown scant enthusiasm for slowing down their dealmaking cadence.
While cadence remains hot generally, seed deals should stay heated as the number of investors who are willing to invest early has increased.
Which brings us to our second question:
2. How long can investors keep writing such quick checks?
A theme that cropped up in the second half of 2020 was the pace at which investors were conducting venture capital deals. This was for a few reasons. To start, venture capitalists have raised larger funds in recent years, meaning that they need larger returns to make the math work out. This led to many investors putting money to work in younger and younger companies, hoping to get in early on a big win. That setup led to more deal competition and faster deal-making.
How? Two things. Investors who were already on a startup’s cap table — already part-owners, in other words — led preemptive rounds, in part to get ahead of other investors who might want to poach the succeeding deal. Other investors, knowing this, seemed to do the same math and move even faster, and earlier, to get around the defense.
So how long can the trend keep up? Given that many big VC firms raised in 2020, many startups picked up some tailwinds from the COVID-19 economy and exits have been strong, forever? Until something stops things? Think of it as Newton’s First Law of startup investing.
What could be the sudden impact to shake up the current set of conditions boosting the pace at which seed and later deals occur? An asteroid strike is probably too extreme, but inertia is one hell of a drug and markets love to stay happy.
Moving along, all the competition to get money to work in hot startups now has had another effect than the mere speed of deal-making; it has also pushed prices higher.
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Turing nabs $32M more for an AI-based platform to source and manage engineers remotely
As remote work continues to solidify its place as a critical aspect of how businesses exist these days, a startup that has built a platform to help companies source and bring on one specific category of remote employees — engineers — is taking on some more funding to meet demand.
Turing — which has built an AI-based platform to help evaluate prospective, but far-flung, engineers, bring them together into remote teams, then manage them for the company — has picked up $32 million in a Series B round of funding led by WestBridge Capital. Its plan is as ambitious as the world it is addressing is wide: an AI platform to help define the future of how companies source IT talent to grow.
“They have a ton of experience in investing in global IT services, companies like Cognizant and GlobalLogic,” said co-founder and CEO Jonathan Siddharth of its lead investor in an interview the other day. “We see Turing as the next iteration of that model. Once software ate the IT services industry, what would Accenture look like?”
It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more.
In addition to WestBridge, other investors in this round included Foundation Capital, Altair Capital, Mindset Ventures, Frontier Ventures and Gaingels. There is also a very long list of high-profile angels participating, underscoring the network that the founders themselves have amassed. It includes unnamed executives from Google, Facebook, Amazon, Twitter, Microsoft, Snap and other companies, as well as Adam D’Angelo (Facebook’s first CTO and CEO at Quora), Gokul Rajaram, Cyan Banister and Scott Banister, and Beerud Sheth (the founder of Upwork), among many others (I’ll run the full list below).
Turing is not disclosing its valuation. But as a measure of its momentum, it was only in August that the company raised a seed round of $14 million, led by Foundation. Siddharth said that the growth has been strong enough in the interim that the valuations it was getting and the level of interest compelled the company to skip a Series A altogether and go straight for its Series B.
The company now has signed up to its platform 180,000 developers from across 10,000 cities (compared to 150,000 developers back in August). Some 50,000 of them have gone through automated vetting on the Turing platform, and the task will now be to bring on more companies to tap into that trove of talent.
Or, “We are demand-constrained,” which is how Siddharth describes it. At the same time, it’s been growing revenues and growing its customer base, jumping from revenues of $9.5 million in October to $12 million in November, increasing 17x since first becoming generally available 14 months ago. Current customers include VillageMD, Plume, Lambda School, Ohi Tech, Proxy and Carta Healthcare.
Remote work = immediate opportunity
A lot of people talk about remote work today in the context of people no longer able to go into their offices as part of the effort to curtail the spread of COVID-19. But in reality, another form of it has been in existence for decades.
Offshoring and outsourcing by way of help from third parties — such as Accenture and other systems integrators — are two ways that companies have been scaling and operating, paying sums to those third parties to run certain functions or build out specific areas instead of shouldering the operating costs of employing, upsizing and sometimes downsizing that labor force itself.
Turing is essentially tapping into both concepts. On one hand, it has built a new way to source and run teams of people, specifically engineers, on behalf of others. On the other, it’s using the opportunity that has presented itself in the last year to open up the minds of engineering managers and others to consider the idea of bringing on people they might have previously insisted work in their offices, to now work for them remotely, and still be effective.
Siddarth and co-founder Vijay Krishnan (who is the CTO) know the other side of the coin all too well. They are both from India, and both relocated to the Valley first for school (post-graduate degrees at Stanford) and then work at a time when moving to the Valley was effectively the only option for ambitious people like them to get employed by large, global tech companies, or build startups — effectively what could become large, global tech companies.
“Talent is universal, but opportunities are not,” Siddarth said to me earlier this year when describing the state of the situation.
A previous startup co-founded by the pair — content discovery app Rover — highlighted to them a gap in the market. They built the startup around a remote and distributed team of engineers, which helped them keep costs down while still recruiting top talent. Meanwhile, rivals were building teams in the Valley. “All our competitors in Palo Alto and the wider area were burning through tons of cash, and it’s only worse now. Salaries have skyrocketed,” he said.
After Rover was acquired by Revcontent, a recommendation platform that competes against the likes of Taboola and Outbrain, they decided to turn their attention to seeing if they could build a startup based on how they had, basically, built their own previous startup.
There are a number of companies that have been tapping into the different aspects of the remote work opportunity, as it pertains to sourcing talent and how to manage it.
They include the likes of Remote (raised $35 million in November), Deel ($30 million raised in September), Papaya Global ($40 million also in September), Lattice ($45 million in July) and Factorial ($16 million in April), among others.
What’s interesting about Turing is how it’s trying to address and provide services for the different stages you go through when finding new talent. It starts with an AI platform to source and vet candidates. That then moves into matching people with opportunities, and onboarding those engineers. Then, Turing helps manage their work and productivity in a secure fashion, and also provides guidance on the best way to manage that worker in the most compliant way, be it as a contractor or potentially as a full-time remote employee.
The company is not freemium, as such, but gives people two weeks to trial people before committing to a project. So unlike an Accenture, Turing itself tries to build in some elasticity into its own product, not unlike the kind of elasticity that it promises its customers.
It all sounds like a great idea now, but interestingly, it was only after remote work really became the norm around March/April of this year that the idea really started to pick up traction.
“It’s amazing what COVID has done. It’s led to a huge boom for Turing,” said Sumir Chadha, managing director for WestBridge Capital, in an interview. For those who are building out tech teams, he added, there is now “No need for to find engineers and match them with customers. All of that is done in the cloud.”
“Turing has a very interesting business model, which today is especially relevant,” said Igor Ryabenkiy, managing partner at Altair Capital, in a statement. “Access to the best talent worldwide and keeping it well-managed and cost-effective make the offering attractive for many corporations. The energy of the founding team provides fast growth for the company, which will be even more accelerated after the B-round.”
PS. I said I’d list the full, longer list of investors in this round. In these COVID times, this is likely the biggest kind of party you’ll see for a while. In addition to those listed above, it included [deep breath] Founders Fund, Chapter One Ventures (Jeff Morris Jr.), Plug and Play Tech Ventures (Saeed Amidi), UpHonest Capital (Wei Guo, Ellen Ma), Ideas & Capital (Xavier Ponce de León), 500 Startups Vietnam (Binh Tran and Eddie Thai), Canvas Ventures (Gary Little), B Capital (Karen Appleton Page, Kabir Narang), Peak State Ventures (Bryan Ciambella, Seva Zakharov), Stanford StartX Fund, Amino Capital, Spike Ventures, Visary Capital (Faizan Khan), Brainstorm Ventures (Ariel Jaduszliwer), Dmitry Chernyak, Lorenzo Thione, Shariq Rizvi, Siqi Chen, Yi Ding, Sunil Rajaraman, Parakram Khandpur, Kintan Brahmbhatt, Cameron Drummond, Kevin Moore, Sundeep Ahuja, Auren Hoffman, Greg Back, Sean Foote, Kelly Graziadei, Bobby Balachandran, Ajith Samuel, Aakash Dhuna, Adam Canady, Steffen Nauman, Sybille Nauman, Eric Cohen, Vlad V, Marat Kichikov, Piyush Prahladka, Manas Joglekar, Vladimir Khristenko, Tim and Melinda Thompson, Alexandr Katalov, Joseph and Lea Anne Ng, Jed Ng, Eric Bunting, Rafael Carmona, Jorge Carmona, Viacheslav Turpanov, James Borow, Ray Carroll, Suzanne Fletcher, Denis Beloglazov, Tigran Nazaretian, Andrew Kamotskiy, Ilya Poz, Natalia Shkirtil, Ludmila Khrapchenko, Ustavshchikov Sergey, Maxim Matcin and Peggy Ferrell.
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Hibob raises $70M for its new take on human resources
Productivity software has been getting a major re-examination this year, and human resources platforms — used for hiring, firing, paying and managing employees — have been no exception. Today, one of the startups that’s built what it believes is the next generation of how HR should and will work is announcing a big fundraise, underscoring its own growth and the focus on the category.
Hibob, the startup behind the HR platform that goes by the name of “bob” (the company name is pronounced, “Hi, Bob!”), has picked up $70 million in funding at a valuation that reliable sources close to the company tell us is around $500 million.
“Our mission is to modernize HR technology,” said Ronni Zehavi, Hibob’s CEO, who co-founded the company with Israel David. “We are a people management platform for how people work today. Whether that’s remotely or physically collaborative, our customers face challenges with work. We believe that the HR platforms of the future will not be clunky systems, annoying, giant platforms. We believe it should be different. We are a system of engagement rather than record.”
The Series B is being led by SEEK and Israel Growth Partners, with participation also from Bessemer Venture Partners, Battery Ventures, Eight Roads Ventures, Arbor Ventures, Presidio Ventures, Entree Capital, Cerca Partners and Perpetual Partners, the same group that also backed Hibob in its last round (a Series A extension) in 2019. It has raised $124 million to date.
The company has its roots in Israel but these days describes its headquarters as London and New York, and the funding comes on the back of strong growth in multiple markets. In an interview, Zehavi said that Hibob specialises in the mid-market customers and says that it has more than 1,000 of them currently on its books across the U.S., Europe and Asia, including Monzo, Revolut, Happy Socks, ironSource, Receipt Bank, Fiverr, Gong and VaynerMedia. In the last year Hibob has had “triple-digit” year-on-year growth (it didn’t specify what those digits are).
Human resources has never been at the more glamorous end of how a company works, and it can sometimes even be looked on with some disdain. However, HR has found itself in a new spotlight in 2020, the year when every company — whether one based around people sitting at desks or in more interactive and active environments — had to change how it worked.
That might have involved sending everyone home to sign in from offices possibly made out of corners of bedrooms or kitchens, or that might have involved a vastly different set of practices in terms of when and where workers showed up and how they interacted with people once they did. But regardless of the implementations, they all involved a team of people who needed to be linked together, still feeling connected and managed; and sometimes hired, furloughed, or let go.
That focus has started to reveal the strains of how some legacy systems worked, with older systems built to consider little more than creating an employee identity number that could then be tracked for payroll and other purposes.
Hibob — Zehavi said they chose the name after the person who owned the bob.com domain wanted too much to sell it, but they liked “bob” for the actual product — takes an approach from the ground up that is in line with how many people work today, balancing different software and apps depending on what they are doing, and linking them up by way of integrations: its own includes Slack, Microsoft Teams and Mercer, and other packages that are popular with HR departments.
While it covers all of the necessary HR bases like payroll and further compensation, onboarding, managing time off and benefits, it further brings in a variety of other features that help build out bigger profiles of users, such as performance and culture, with the ability for peers, managers and workers themselves to provide feedback to enhance their own engagement with the company, and for the company to have a better idea of how they are fitting into the organization, and what might need more attention in the future.
That then links into a bigger organizational chart and conceptual charts that highlight strong performers, those who are possible flight risks, those who are leaders and so on. While there have been a number of others in the HR world that have built standalone apps that cover some of these features (for example, 15five was early to spot the value of a platform that made it much easier to set goals and provide feedback), what’s notable here is how they are all folded into one system together.
The end effect, as you can see here, looks less like word salad and more interactive, graphic interfaces that are presumably a lot more enjoyable and at least easier to use for HR people themselves.
The importance for investors has been that the product and the startup has identified the opportunity, but has delivered not just more engagement, but a strong piece of software that still provides the essentials.
“This is certainly not a Workday,” said Adam Fisher, a partner at Bessemer, in an interview. “Our overall thesis has been that HR is only growing in importance. And while engagement is super important, that opportunity is not enough to create the market.”
The end result is a platform that has a significant shot at building in even more over time. For example, another large area that has been seeing traction in the world of enterprise and B2B software is employee training. Specifically, enterprise learning systems are creating another way to help keep people not only up to speed on important aspects of how they work, but also engaged at a time when connections are under strain.
“Training, a SuccessFactors -style offering, is definitely in our road map,” said Zehavi, who noted they are adding new features all the time. The latest has been compensation, sometimes known as merit increase cycles. “That is a very complex issue and requires deeper integrations finance and the CFO’s office. We streamlined it and made it easy to use. We launched two months ago and it’s on fire. After learning and development there are other modules also down the road.”
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TC Sessions: Space 2020 launches next week
TC Sessions: Space 2020, our first conference dedicated to galactic endeavors, launches in just one week (December 16-17). We can’t wait to host out-of-this-world experts, innovative agencies and the bold, boundary-breaking startups focused on building a future in space.
If you have not yet secured your seat on the space-race express, do so now while late-registration prices remain in play — prices go up December 15. You’ll also find discounts for groups, students and active military/government employees.
Ready to place your early-stage startup in orbit with industry movers and shakers — and pitch your startup to attendees during the event? Buy a Space Startup Exhibitor Pass. We even offer a super budget-friendly, expo-only pass for $25 (Note: This does not include networking, access to the main-stage programming or the free Extra Crunch membership).
Pro Tip: Not all virtual conferences are created equal. Michael McCarthy, the CEO of Repositax, found unexpected benefits:
The online experience was far more efficient than I anticipated, and the video on demand was a huge benefit. I could attend without disrupting my customer work by moving between the main stage and breakout presentations knowing I could catch anything I missed later.
The two-day event agenda practically vibrates with opportunity. Let’s look at just a few of the many sessions waiting for you:
- Fast Money Breakout Sessions: Learn about the different accelerators, incubators and grant programs available to help you fund and grow your startup. You’ll find six of these breakout sessions spanning the two days. Check the agenda for exact days and times and plan your schedule accordingly. Don’t miss out on this opportunity to find money, um, fast.
- Founders in Focus Series: TechCrunch editors will sit down and talk with four different founders poised to be the next big disruptors in the space industry. Don’t miss this four-part series with Araz Feyzi, co-founder of Kayhan Space; Will Edwards, CEO of Firehawk Aerospace; Pawan Chandana, co-founder of Skyroot; and Yotam Ariel, co-founder of Bluefield Technologies.
- Pitch Feedback Session: Join us for a pitch feedback session open to all startups exhibiting at TC Sessions: Space 2020 and moderated by TechCrunch staff.
This may be our first foray into space technology, but we’ve hosted many TC Sessions. Here’s what Karin Maake, senior director of communications at FlashParking, told us about her experience:
TC Sessions isn’t just an educational opportunity, it’s a real networking opportunity. Everyone was passionate and open to creating pilot programs or other partnerships. That was the most exciting part. And now — thanks to a conference connection — we’re talking with Goodyear’s Innovation Lab.
TC Sessions: Space 2020 runs from December 16-17. You have just one week left to buy your pass, join your global community of bold boundary breakers and move your space-based business forward.
Is your company interested in sponsoring TC Sessions: Space 2020? Click here to talk with us about available opportunities.
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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 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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VCs who want better outcomes should use data to reduce founder team risk
VCs expect the companies they invest in to use data to improve their decision-making. So why aren’t they doing that when evaluating startup teams?
Sure, venture capital is a people business, and the power of gut feeling is real. But using an objective, data-backed process to evaluate teams — the same way we do when evaluating financial KPIs, product, timing and market opportunities — will help us make better investment decisions, avoid costly mistakes and discover opportunities we might have otherwise overlooked.
An objective assessment process will also help investors break free from patterns and back someone other than a white male for a change. Is looking at how we have always done things the best way to build for the future?
Sixty percent of startups fail because of problems with the team. Instinct matters, but a team is too big a risk to leave to intuition. I will use myself as an example. I have founded two companies. I know what it takes to build a company and to achieve a successful exit. I like to think I can sense when someone has that special something and when a team has chemistry. But I am human. I am limited by bias and thought patterns; data is not.
You can (and should) take a scientific approach to evaluating a startup team. A “strong” team isn’t a vague concept — extensive research confirms what it takes to execute a vision. Despite what people expect, soft skills can be measured. VCVolt is a computerized selection model that analyzes the performance of companies and founding teams developed by Eva de Mol, Ph.D., my partner at CapitalT.
We use it to inform every investment decision we make and to demystify a common hurdle to entrepreneurial success. (The technology also evaluates the company, market opportunity, timing and other factors, but since most investors aren’t taking a structured, data-backed approach to analyzing teams, let’s focus on that.)
VCVolt allows us to reduce team risk early on in the selection and due diligence process, thereby reducing confirmation bias and fail rates, discovering more winning teams and driving higher returns.
I will keep this story brief for privacy reasons, but you will get the point. While testing the model, we advised another VC firm not to move forward with an investment based on the model’s findings. The firm moved forward anyway because they were in love with the deal, and everything the model predicted transpired. It was a big loss for the investors, and a reminder that hunch and gut feeling can be wrong — or at least blind you to some serious risk factors.
The platform uses a validated model that is based on more than five years of scientific research, data from more than 1,000 companies and input from world-class experts and scientists. Its predictive validity is noted in top-tier scientific journals and other publications, including Harvard Business Review. By asking the right questions — science-based questions validated by more than 80,000 datapoints — the platform analyzes the likelihood that a team will succeed. It considers:
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From surviving to thriving as a hardware startup
When a friend forwarded this tweet from Paul Graham, it hit close to home:
Startups are subject to something like infant mortality: before they’re established, one thing going wrong can kill the company. Hardware companies seem to be subject to infant mortality their whole lives.
I think the reason is that the evolution of the product is so discontinuous. The company has to keep shipping, and customers to keep buying, new products. Which in practice is like relaunching the company each time.
I don’t know if there is an answer to this, but if there were a way for hardware companies to evolve more the way software companies do, they’d be a lot more resilient.
Looking back on our startup journey at Minut, I remember several moments when we could have died. However, surviving several near misses we learned to tackle these challenges and have become more resilient over time. While there will never be one fully exhaustive answer, here are some of the lessons we learned over the years:
Subscription revenue is the only revenue that counts
While you can sell hardware with a margin and make important early revenue, it’s not a sustainable business model for a company that requires both software and hardware. You can’t cover an indefinite commitment with a finite amount of money.
Many hardware companies don’t consider subscriptions early enough. While it can be hard to command a subscription from the start (if you can, you might have waited too long to launch), it needs to be in the plan from the beginning. Look for markets where paying subscriptions is the norm rather than markets that operate on a one-time sale model.
Set high margins and earn them over time
It’s tempting to set low prices for hardware to attract customers, but in the beginning you should do the opposite. Margins allow for mistakes to be rectified. A missed deadline might mean you have to opt for freight by air rather than boat. You might have to scrap components or buy them expensively in a supply crunch. Surprises are seldom positive, and you don’t want to use your venture capital to pay for them.
Healthy margins can also be used to cover marketing costs while you learn what kind of messaging works and what channels you can sell through. If that wasn’t enough reason, starting with relatively high prices will help you avoid another common mistake, selling too much at launch.
This might seem counterintuitive — why wouldn’t you want great success out of the gate? The reason is that you will inevitably make mistakes with your early launches, and the bigger the launch, the bigger the blow. There are plenty of companies who achieved amazing crowdfunding success and then failed to deliver even the first units. Startups tend to chase growth at all costs, but for hardware startups in the first few years there is such a thing as too much of a good thing.
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