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The Equity podcast is growing

Equity is celebrating its fourth birthday in a few weeks and closed 2020 with its biggest quarter to date. To celebrate and say thank you to our wonderful listeners who tune into us each and every single week, we’re growing upward and outward!

First, as many of you have noticed, we’ve expanded the Equity team. Grace Mendenhall joined the production crew this year, initially helping cover for Chris Gates while he was out on paternity leave. But now Chris is back and so we’ve doubled our producer team.

In classic startup fashion, a bigger team means we can make more swings at R&D, or in this case, add on a new show to our semiweekly cadence.

Today, the whole Equity team — Chris, Grace, Danny, Natasha and Alex — are super proud to announce that we’re expanding the podcast’s show lineup. We’re going to add a new show each week, which will rotate around a particular theme, geography or supermassive news event. It’s your midweek chance to listen to a show about one trend, whether that’s space tech or the growth of community as a competitive advantage. Sometimes it will be an exact topic you’ve cared about for so long (insert Alex and SaaS joke here) and sometimes it will be about a topic you know nothing about. We’re here to convince you to care anyway. Regardless, you can depend on the Equity trio to give you a trifecta of shows that helps you stay up to date on startup and venture capital news in a consumable way.

Starting, well, now, here’s what Equity looks like:

  • Equity on Monday: Our weekly kickoff show is not changing. Except Alex has promised to learn how to speak with better diction.
  • Equity on Wednesday: Our midweek show focused on a single topic or theme. Expect to hear from other TechCrunch reporters about their beats, investors on what they are seeing in the market and reporting on countries and cities where startup activity is blowing up.
  • Equity, now on Friday: The main Equity episode is not changing, other than that we’re going to tighten it up a little bit and release it Friday mornings like we used to. While it was a blast to get out the door Thursday afternoon, we’re going to give Equity Wednesday a little more time to breathe. And since so many of you listen to this episode on Friday anyway, most folks won’t notice a change.

As COVID-19 fades thanks to the rollout of vaccines around the globe, we’ll eventually get back into our studio. That could mean more video down the pike. And we’ll still do the odd Equity Shot for big events that we can’t help but chat about.

Our goal was to double-down on what we think is the best part of Equity: A group of friends hammering through the news as a group, learning, joking and having fun with the world of startups and venture capital.

So, we’ll see you one more time each week. Cool? Cool. Hugs from here and chat soon. — The Equity Team

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Dear Sophie: Which immigration options are the fastest?

Here’s another edition of “Dear Sophie,” the advice column that answers immigration-related questions about working at technology companies.

“Your questions are vital to the spread of knowledge that allows people all over the world to rise above borders and pursue their dreams,” says Sophie Alcorn, a Silicon Valley immigration attorney. “Whether you’re in people ops, a founder or seeking a job in Silicon Valley, I would love to answer your questions in my next column.”

Extra Crunch members receive access to weekly “Dear Sophie” columns; use promo code ALCORN to purchase a one- or two-year subscription for 50% off.


Dear Sophie:

Help! Our startup needs to hire 50 engineers in artificial intelligence and related fields ASAP. Which visa and green card options are the quickest to get for top immigrant engineers?

 And will Biden’s new immigration bill help us?

— Mesmerized in Menlo Park

Dear Mesmerized,

I’m getting this question quite frequently now as more and more startups with recent funding rounds are looking to quickly expand. In the latest episode of my podcast, I discuss some of the quickest visa categories for startups to consider when they need to add talent quickly.

As always, I suggest consulting with an experienced immigration lawyer who can help you quickly strategize and implement an efficient and cost-effective hiring and immigration plan. An immigration lawyer will also be up to date on any immigration policy changes and plans in the event that the Biden administration’s U.S. Citizenship Act of 2021 passes. It was introduced in the House and Senate this month.

That proposed legislation would enable more international talent to come to the U.S. for jobs and clear employment-based visa backlogs, among other things. Given the legislation’s substantial benefits offered to employers, I encourage your startup — and other companies — to let congressional representatives know you support it.

A composite image of immigration law attorney Sophie Alcorn in front of a background with a TechCrunch logo.

Image Credits: Joanna Buniak / Sophie Alcorn (opens in a new window)

Given that most U.S. embassies and consulates remain at limited capacity for routine visa and green card processing due to the pandemic, it is generally quicker to hire American and international workers who are already in the U.S. Although U.S. Citizenship and Immigration Services (USCIS) is experiencing substantial delays in processing cases due to the coronavirus, as well as an increase in applications, Premium Processing is currently available for most employment-based petitions. We are still able to support many folks with U.S. visa appointment scheduling at consulates abroad using various national interest strategies.

With all of that in mind, here are the visa categories that offer the quickest way to hire international talent.

H-1B transfers

Hiring individuals by transferring their H-1B to your startup can be completed in a couple of months with premium processing. Premium processing is an optional service that for a fee guarantees USCIS will process the petition within 15 calendar days.

What’s more, H-1B transferees can start working for your startup even before USCIS has issued a receipt notice or made a decision in the case. You just need to make sure that USCIS received the petition, which is why I always recommend sending all packages to USCIS with tracking.

Premium processing can help to get a digital receipt as the paper receipts are often backlogged. I stopped suggesting this route during the Trump administration, but am feeling more comfortable providing it as an option under the Biden administration. The H-1B is the only type of visa that allows somebody to start working upon the filing of a transfer application.

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Canva acquires background removal specialists Kaleido

Kaleido, makers of a drag-and-drop background removal service for images and video, have been acquired by up-and-coming digital design platform Canva. While the price and terms are not disclosed, it is speculated that this young company may have fetched nearly nine figures.

It’s the right product at the right time, seemingly. In 2019, the Vienna-based Kaleido made remove.bg, a quick, simple, free and good-enough background removal tool for images. It became a hit among the many people who need to quickly do that kind of work but don’t want to fiddle around in Photoshop.

Then late last year they took the wraps off Unscreen, which did the same thing for video — a similar task conceptually, but far more demanding to actually engineer and deploy. The simplicity and effectiveness of the tool practically begged to be acquired and integrated into a larger framework by the likes of Adobe, but Canva seems to have beaten the others to the punch.

Animated image showing a stack of books on a table in a room, but the table and room get deleted.

Image Credits: Unscreen

The acquisition was announced at the same time as another by Canva: product mockup generator Smartmockups, suggesting a major product expansion by the growing design company.

We completely bootstrapped Kaleido with no investors involved from day one,” said co-founder and CEO of Kaleido, Benjamin Groessing, in a press release. “It has just been two founders and an incredible team. We’ve been profitable from the start — so this acquisition wasn’t essential for our existence. It just made sense on so many levels.”

The company declined to provide any further details on the acquisition beyond that the brand and name are expected to survive — at least Unscreen, which makes perfect sense as a product name even under another company.

German outlets Die Presse and Der Brutkasten cited sources putting the purchase “reiht sich dahinter ein” or in the same rank as the largest Austrian exits (the largest of which was Runtastic at €220 million), though still in the two-digit millions — which suggests a price approaching $100M.

The team at kaleido celebrating their acquisition - each member has been digitally added.

Image Credits: Kaleido

Whatever the exact amount, it seems to have made the team very happy. And don’t worry — they put that image together using their own product for each person.

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Techstars’ Neal Sáles-Griffin will join us at TechCrunch Early Stage 2021 to talk accelerators

Should you try to get your startup into an accelerator program? How do you make the right impression on the application? Where does your team need to be before you apply — and once you’re in, how do you make the most of your time in the program?

Join us at the TechCrunch Early Stage event in April, where Neal Sáles-Griffin, managing director of Techstars Chicago, will help us figure it all out.

Neal has seen this industry from just about every angle — as a teacher, advisor, investor and repeat co-founder. In 2011 he co-founded what is often referred to as the “first coding bootcamp,” with The Starter League, acquired by New York’s Fullstack Academy in 2016. In addition to leading the way at Techstars Chicago, he is also a venture partner at MATH Venture Partners, an early/middle-stage VC fund.

TC Early Stage — happening April 1 and 2 — is an event that we’ve tailored to be absolutely packed with information for early-stage founders, with key insights from the investors, founders and executives who’ve been through it all before. Day one will cover everything from fundraising, to honing your pitch deck, to finding product-market fit; day two transitions into what we’ve dubbed the TC Early Stage Pitch-Off, where 10 companies will get a shot to pitch an incredible line-up of VC judges.

Oh, and it’s all fully virtual, so you can tune in straight from the comfort of your couch. You can find more details here, or get your tickets directly below.

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Google Cloud puts its Kubernetes Engine on autopilot

Google Cloud today announced a new operating mode for its Kubernetes Engine (GKE) that turns over the management of much of the day-to-day operations of a container cluster to Google’s own engineers and automated tools. With Autopilot, as the new mode is called, Google manages all of the Day 2 operations of managing these clusters and their nodes, all while implementing best practices for operating and securing them.

This new mode augments the existing GKE experience, which already managed most of the infrastructure of standing up a cluster. This “standard” experience, as Google Cloud now calls it, is still available and allows users to customize their configurations to their heart’s content and manually provision and manage their node infrastructure.

Drew Bradstock, the group product manager for GKE, told me that the idea behind Autopilot was to bring together all of the tools that Google already had for GKE and bring them together with its SRE teams who know how to run these clusters in production — and have long done so inside of the company.

“Autopilot stitches together auto-scaling, auto-upgrades, maintenance, Day 2 operations and — just as importantly — does it in a hardened fashion,” Bradstock noted. “[ … ] What this has allowed our initial customers to do is very quickly offer a better environment for developers or dev and test, as well as production, because they can go from Day Zero and the end of that five-minute cluster creation time, and actually have Day 2 done as well.”

Image Credits: Google

From a developer’s perspective, nothing really changes here, but this new mode does free up teams to focus on the actual workloads and less on managing Kubernetes clusters. With Autopilot, businesses still get the benefits of Kubernetes, but without all of the routine management and maintenance work that comes with that. And that’s definitely a trend we’ve been seeing as the Kubernetes ecosystem has evolved. Few companies, after all, see their ability to effectively manage Kubernetes as their real competitive differentiator.

All of that comes at a price, of course, in addition to the standard GKE flat fee of $0.10 per hour and cluster (there’s also a free GKE tier that provides $74.40 in billing credits), plus additional fees for resources that your clusters and pods consume. Google offers a 99.95% SLA for the control plane of its Autopilot clusters and a 99.9% SLA for Autopilot pods in multiple zones.

Image Credits: Google

Autopilot for GKE joins a set of container-centric products in the Google Cloud portfolio that also include Anthos for running in multicloud environments and Cloud Run, Google’s serverless offering. “[Autopilot] is really [about] bringing the automation aspects in GKE we have for running on Google Cloud, and bringing it all together in an easy-to-use package, so that if you’re newer to Kubernetes, or you’ve got a very large fleet, it drastically reduces the amount of time, operations and even compute you need to use,” Bradstock explained.

And while GKE is a key part of Anthos, that service is more about brining Google’s config management, service mesh and other tools to an enterprise’s own data center. Autopilot of GKE is, at least for now, only available on Google Cloud.

“On the serverless side, Cloud Run is really, really great for an opinionated development experience,” Bradstock added. “So you can get going really fast if you want an app to be able to go from zero to 1,000 and back to zero — and not worry about anything at all and have it managed entirely by Google. That’s highly valuable and ideal for a lot of development. Autopilot is more about simplifying the entire platform people work on when they want to leverage the Kubernetes ecosystem, be a lot more in control and have a whole bunch of apps running within one environment.”

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MealMe raises $900,000 for its food search engine

This morning MealMe.ai, a food search engine, announced that it has closed a $900,000 pre-seed round. Palm Drive Capital led the round, with participation from Slow Ventures and CP Ventures.

TechCrunch first became familiar with MealMe when it presented as part of the Techstars Atlanta demo day last October, mentioning it in a roundup of favorite startups from a group of the accelerator’s startup cohorts.

The company’s product allows users to search for food, or a restaurant. It then displays price points from various food-delivery apps for what the user wants to eat and have delivered. And, notably, MealMe allows for in-app checkout, regardless of the selected provider.

The service could boost pricing and delivery-speed transparency amongst the different apps that help folks eat, like DoorDash and Uber Eats. But Mealme didn’t start out looking to build a search engine. Instead it took a few changes in direction to get there.

From social network to search engine

MealMe is an example of a startup whose first idea proved only directionally correct. The company began life as a food-focused social network, co-founder Matthew Bouchner told TechCrunch. That iteration of the service allowed users to view posted food pictures, and then find ordering options for what they saw.

While still operating as a social network, MealMe applied to both Y Combinator and Techstars, but wasn’t accepted at either.

The startup discovered that some of its users were posting food pics simply to get the service to tell them which delivery services would be able to bring them what they wanted. From that learning the company focused on building a food search engine, allowing users to search for restaurants, and then vet various delivery options and prices. That iteration of the product got the company into Techstars Atlanta, eventually leading to the demo day that TechCrunch reviewed.

During its time in Techstars, the company adjusted its model to not merely link to DoorDash and others, but to handle checkout inside of its own application. This captures more gross merchandize value (GMV) inside of MealMe, Bouchner explained in an interview. The capability was rolled out in September of 2020.

Since then the company has seen rapid growth, which it measures at around 20% week-on-week. During TechCrunch’s interview with MealMe, the company said that it had reached a GMV run rate of more than $500,000, and was scaling toward the $1 million mark. In the intervening weeks the company passed the $1 million GMV run-rate threshold.

MealMe was slightly coy on its business model, but it appears to make margin between what it charges users for orders and the total revenue it passes along to food delivery apps.

TechCrunch was curious about platform risk at MealMe; could the company get away with offering price comparison and ordering across multiple third-party delivery services without raising the ire of the companies behind those apps? At the time of our interview, Bouchner said that his company had not seen pushback from the services it sends users to. His company’s goal is to grow quickly, become a useful revenue source for the DoorDashes of the world, and then reach out for some of formal agreement, he explained.

“We continue to be a powerful revenue generator and drive thousands of orders to food delivery services per week,” the co-founder said in a written statement. Certainly MealMe found investors more excited by its growth than concerned about Uber Eats or other apps cutting the startup off from their service.

What first caught my eye about MealMe was the realization of how much I would have used it in my early 20s. Perhaps the company can find enough users like my younger self to help it scale to sufficient size that it can go to the major food ordering companies and demand a cut, not merely avoid being cut off.

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Lifestyle benefits startup Fringe gets a pandemic boost, raises seed round

Employers today often use perks to attract new talent in the form of discounts and deals, commuter funds, gym memberships, child care, free lunches and more. But the pandemic has impacted what sort of in-office or other in-person perks employees can access. That’s led to booming growth — and now, a fundraise — for a startup called Fringe, which offers companies a personalized marketplace of perks that people really want, like Netflix, Uber, Airbnb, DoorDash, Headspace, Talkspace and over 100 other apps.

The idea for Fringe came about from the co-founders’ work as financial advisors where they regularly found themselves consulting people who were weighing new job options and their associated benefits.

“Companies are spending a lot money on traditional benefits … $800, $1,000 a month per person. But the perceived value for most employees is relatively small, given the cost,” explains Fringe CEO Jordan Peace. “I started thinking about what could [companies] offer employees that would be a pretty low actual cost, but a really high perceived value?”

He landed on the idea of subscription services — things people use all the time in their daily lives, but sometimes feel just out of reach from a budgetary standpoint.

That’s where Fringe comes in.

Employers sign up for access to Fringe’s platform at a starting cost of $5 per employee per month. (The rate may decrease for larger organizations.) They then place the dollars they would normally spend on lifestyle benefits into the Fringe accounts of their employees, where they’re converted to “points” that can be spent on any of the apps and services.

Fringe Platform Walkthrough from Fringe on Vimeo.

Today, the marketplace offers a range of benefits, including streaming services like Netflix, Spotify, Disney+ and Audible, as well as virtual fitness, virtual coaching and wellness, online therapy like Talkspace, food and grocery delivery, like Grubhub, Uber Eats, Instacart, and Shipt, prepackaged meals, child care like UrbanSitter, and more.

In the U.S., there are 135 services partners to choose from, with another couple hundred that are available overseas.

The startup’s business model involves negotiating a discount of anywhere from 10% to up to 60% off these services, which it passes along to the employees through its points back (rebate) system. Initially, it only allowed employees to spend their employer-provided lifestyle benefits dollars on Fringe. But due to user demand, it later opened up to allow employees to spend their own money, too — a feature they wanted specifically because of the points back.

Fringe first launched in 2019 — well ahead of the pandemic — and saw some slow but steady growth. It ended the year with 15 clients, representing a couple hundred employees in total.

But then the COVID-19 pandemic hit, which sent a number of employees to work from home in a radical change to business culture that appears to have lasting impacts.

“After the dust settled from the first few months of COVID, we started getting 10 … 20 times more inbound interest,” Peace says, as companies realized Fringe could be a way to support their employees working from home.

“We were just in the right place at the right time to begin to profit from this changed workplace. And it’s not just a ‘pandemic perk.’ We’re going to get past COVID, and we’re still going to have two-thirds of people working from home. The workplace has changed,” he adds.

Image Credits: Fringe CEO Jordan Peace

By the end of 2020, Fringe had grown its client base to over 70 employers, representing now over 12,000 users on its platform. Today, its pipeline includes companies with between 200 and 2,000 employees — a sweet spot that allows them to move relatively quickly. This client base often includes tech companies, like car-sharing startup Turo or talent management system Cornerstone OnDemand, for example.

This year, Fringe expects to grow to well over 100,000 users on its platform, and increase its own team’s headcount, which is today around 20. It also plans to update its marketplace website to include things like automatic point gifting, charitable giving, new Slack integrations, improved navigation, and more.

As a result of the recent growth, Fringe has raised $2.2 million in new funding, in a round led by Sovereign’s Capital, with participation from Felton Group, Manchester Story, the Center for Innovative Technology and angel investors, including Jaffray Woodriff. As part of this investment, the company also added longtime advisor William Boland, senior director of Corporate Development and Strategy at Mission Lane, to its board of directors.

With the addition of the new funds, the startup’s total raise to date is $4 million.

Fringe believes the advantage of its marketplace is that it can be personalized to the user. Typically, employers determine what benefits to offer by running employee surveys, where the majority wins. That’s why many companies today provide perks like backup child care or discounted gym access. But this system discounts the minority’s needs — people who may not have kids or don’t want to work out. People who wish they could use their benefits dollars in a different way.

In addition to employee perks, Fringe believes that having so many subscriptions under one roof could present other opportunities farther down the line.

Woodriff, for example, sees Fringe’s potential as a big data play, in terms of who is signing up for what subscriptions and why.

“But if you think about the fact that you’ve got a subscription service marketplace … there’s more applications to that than just employee benefits,” Peace explains. “I’d like our Series A to be predicated upon the much greater total addressable market. And so I think we’re going to spend the next year to 18 months laying down concrete plans and building the tech to be ready to roll out a couple of different use cases,” he says.

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3 days left to save on early-bird pricing for TC Early Stage — Operations & Fundraising

In a mere 72 hours, early-bird pricing disappears for TechCrunch Early Stage 2021, our two-part founder bootcamp series focused on the building blocks you need to grow your company. The first event, TC Early Stage Operations & Fundraising, happens on April 1-2 — that’s two program packed days of education, connection and opportunity.

The second event, TC Early Stage — Marketing & Fundraising, takes place July 8-9. Pro Tip: Each bootcamp stands alone and features different topics, content and speakers. Attend one or both events — it’s up to you. But know this: You’ll save more and learn twice as much when you score a dual-event pass at the early-bird price. Beat the deadline, buy your passes before Feb 27 at 11:59 p.m. (PST) and save up to $100.

TC Early Stage is all about helping new startup founders (pre-seed through Series A) learn the essential skills required to build a successful startup. No need to reinvent the wheel — you’ll have access to the leading experts across the range of specialties. Much like an accelerator (compacted into two days), you’ll learn about legal issues, fundraising, marketing, growth, product-market fit, tech stack, pitch decks and recruiting. We’re talking highly engaging workshops with interactive Q&As.

On day one you’ll hear from experts like Eghosa Omoigui, the founder and managing general partner of EchoVC Partners, a seed and early-stage technology venture capital firm serving underrepresented founders and underserved markets. He’ll discuss ways to keep your eyes on the big picture and avoid the blind spots that lead to fragmentation and oversights.

Day two features the TC Early Stage Pitch Off! Out of the hundreds of applications we received, we selected 10 founders to pitch on stage for five minutes to a panel of prominent VC judges — followed by a five-minute Q&A. Three founders will move into the finals and pitch to a new panel of judges and endure a more in-depth Q&A. The winner receives a feature article on TechCrunch.com, a free, one-year subscription to ExtraCrunch and a free Founder Pass to TechCrunch Disrupt 2021.

Wondering whether it’s worth your time and money?

“You learn from industry leaders and seasoned founders — people who’ve already been there and done that. They were genuine and honest about industry expectations. Plus, they shared firsthand accounts, which made them more relatable.” — Chloe Leaaetoa, founder of Socicraft

Don’t reinvent the wheel. Go to TechCrunch Early Stage 2021 (in April and July), learn from the best, connect with other early-stage founders and build a stronger startup. The early-bird price disappears in three days on Friday, Feb 27 at 11:59 p.m. (PST). Buy your pass today and save up to $100.

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Select Star raises seed to automatically document datasets for data scientists

Back when I was a wee lad with a very security-compromised MySQL installation, I used to answer every web request with multiple “SELECT *” database requests — give me all the data and I’ll figure out what to do with it myself.

Today in a modern, data-intensive org, “SELECT *” will kill you. With petabytes of information, tens of thousands of tables (on the small side!), and millions and perhaps billions of calls flung at the database server, data science teams can no longer just ask for all the data and start working with it immediately.

Big data has led to the rise of data warehouses and data lakes (and apparently data lake houses), infrastructure to make accessing data more robust and easy. There is still a cataloguing and discovery problem though — just because you have all of your data in one place doesn’t mean a data scientist knows what the data represents, who owns it or what that data might affect in the myriad web and corporate reporting apps built on top of it.

That’s where Select Star comes in. The startup, which was founded about a year ago (in March 2020), is designed to automatically build out metadata within the context of a data warehouse. From there, it offers a full-text search that allows users to quickly find data as well as “heat map” signals in its search results, which can quickly pinpoint which columns of a data set are most used by applications within a company and have the most queries that reference them.

The product is SaaS, and it is designed to allow for quick onboarding by connecting to a customer’s data warehouse or business intelligence (BI) tool.

Select Star’s interface allows data scientists to understand what data they are looking at. Image via Select Star.

Shinji Kim, the sole founder and CEO, explained that the tool is a solution to a problem she has seen directly in corporate data science teams. She formerly founded Concord Systems, a real-time data processing startup that was acquired by Akamai in 2016. “The part that I noticed is that we now have all the data and we have the ability to compute, but now the next challenge is to know what the data is and how to use it,” she explained.

She said that “tribal knowledge is starting to become more wasteful [in] time and pain in growing companies,” and pointed out that large companies like Facebook, Airbnb, Uber, Lyft, Spotify and others have built out their own homebrewed data discovery tools. Her mission for Select Star is to allow any corporation to quickly tap into an easy-to-use platform to solve this problem.

The company raised a $2.5 million seed round led by Bowery Capital, with participation from Background Capital and a number of prominent angels including Spencer Kimball, Scott Belsky, Nick Caldwell, Michael Li, Ryan Denehy and TLC Collective.

Data discovery tools have been around in some form for years, with popular companies like Alation having raised tens of millions of VC dollars over the years. Kim sees an opportunity to compete by offering a better onboarding experience and also automating large parts of the workflow that remain manual for many alternative data discovery tools. With many of these tools, “they don’t do the work of connecting and building the relationship,” between data she said, adding that “documentation is still important, but being able to automatically generate [metadata] allows data teams to get value right away.”

Select Star’s team, with CEO and founder Shinji Kim in top row, middle. Image via Select Star.

In addition to just understanding data, Select Star can help data engineers begin to figure out how to change their databases without leading to cascading errors. The platform can identify how columns are used and how a change to one may affect other applications or even other data sets.

Select Star is coming out of private beta today. The company’s team currently has seven people, and Kim says they are focused on growing the team and making it even easier to onboard users by the end of the year.

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Aquarium scores $2.6M seed to refine machine learning model data

Aquarium, a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. Today the company announced a $2.6 million seed led by Sequoia with participation from Y Combinator and a bunch of angel investors, including Cruise co-founders Kyle Vogt and Dan Kan.

When the two co-founders, CEO Peter Gao and head of engineering Quinn Johnson, were at Cruise they learned that finding areas of weakness in the model data was often the problem that prevented it from getting into production. Aquarium aims to solve this issue.

“Aquarium is a machine learning data management system that helps people improve model performance by improving the data that it’s trained on, which is usually the most important part of making the model work in production,” Gao told me.

He says that they are seeing a lot of different models being built across a variety of industries, but teams are getting stuck because iterating on the data set and continually finding relevant data is a hard problem to solve. That’s why Aquarium’s founders decided to focus on this.

“It turns out that most of the improvement to your model, and most of the work that it takes to get it into production is about deciding, ‘Here’s what I need to go and collect next. Here’s what I need to go label. Here’s what I need to go and retrain my model on and analyze it for errors and repeat that iteration cycle,” Gao explained.

The idea is to get a model into production that outperforms humans. One customer, Sterblue, offers a good example. They provide drone inspection services for wind turbines. Their customers used to send out humans to inspect the turbines for damage, but with a set of drone data, they were able to train a machine learning model to find issues. Using Aquarium, they refined their model and improved accuracy by 13%, while cutting the cost of human reviews in half, Gao said.

The 7 person Aquarium startup team.

The Aquarium team. Image: Aquarium

Aquarium currently has seven employees, including the founders, of which three are women. Gao says that they are being diverse by design. He understands the issues of bias inherent in machine learning model creation, and creating a diverse team for this kind of tooling is one way to help mitigate that bias.

The company launched last February and spent part of the year participating in the Y Combinator Summer 2020 cohort. They worked on refining the product throughout 2020, and recently opened it up from beta to generally available.

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