Feb
24
2021
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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 7 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.

Feb
10
2021
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Accord launches B2B sales platform with $6M seed

The founders of Accord, an early-stage startup focused on bringing order to B2B sales, are not your typical engineer founders. Instead, the two brothers, Ross and Ryan Rich, worked as sales reps seeing the problems unique to this kind of sale firsthand.

In November 2019, they decided to leave the comfort of their high-paying jobs at Google and Stripe to launch Accord and build what they believe is a missing platform for B2B sales, one that takes into account the needs of both the sales person and the buyer.

Today the company is launching with a $6 million seed round from former employer Stripe and Y Combinator. It should be noted that the founders applied to YC after leaving their jobs and impressed the incubator with their insight and industry experience, even though they didn’t really have a product yet. In fact, they literally drew their original idea on a piece of paper.

Original prototype of Accord sketched on a piece of paper.

The original prototype was just a drawing of their idea. Image Credits: Accord

Recognizing they had the sales skills, but lacked programming chops, they quickly brought in a third partner, Wayne Pan, to bring their idea to life. Today, they have an actual working program with paying customers. They’ve created a kind of online hub for B2B salespeople and buyers to interact.

As co-founder Ross Rich points out, these kinds of sales are very different from the consumer variety, often involving as many as 14 people on average on the buyer side. With so many people involved in the decision-making process, it can become unwieldy pretty quickly.

“We provide within the application shared next steps and milestones to align on and that the buyer can track asynchronously, a resource hub to avoid sorting through those hundreds of emails and threads for a single document or presentation and stakeholder management to make sure the right people are looped in at the right time,” Rich explained.

Accord also integrates with the company CRM like Salesforce to make sure all of that juicy data is being tracked properly in the sales database. At the same time, Rich says the startup wants this platform to be a place for human interaction. Instead of an automated email or text, this provides a place where humans can actually interact with one another, and he believes that human element is important to help reduce the complexity inherent in these kinds of deals.

With $6 million in runway and a stint at Y Combinator under their belts, the founders are ready to make a more concerted go-to-market push. They are currently at nine people, mostly engineers aside from the two sales-focused founders. He figures to be bringing in some new employees this year, but doesn’t really have a sense of how many they will bring on just yet, saying that is something that they will figure out in the coming months.

As they do that, they are already thinking about being inclusive with several women on the engineering team, recognizing if they don’t start diversity early, it will be more difficult later on. “[Hiring a diverse group early] only compounds when you get to nine or 10 people and then when you’re talking to someone and they are wondering, ‘Do I trust this team and is that a culture where I want to work?’ He says if you want to build a diverse and inclusive workplace, you have to start making that investment early.

It’s early days for this team, but they are building a product to help B2B sales teams work more closely and effectively with customers, and with their background and understanding of the space, they seem well-positioned to succeed.

Feb
03
2021
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Polytomic announces $2.4M seed to move business data where it’s needed

There is so much data sitting inside companies these days, but getting data to the people who need it most remains a daunting challenge. Polytomic, a graduate of the Y Combinator Winter 2020 cohort set out to solve that problem, and today the startup announced a $2.4 million seed.

Caffeinated Capital led the round with help from Bow Capital and a number of individual investors including the founders of PlanGrid, Tracy Young and Ralph Gootee, the company where Polytomic founders CEO Ghalib Suleiman and CTO Nathan Yergler both previously worked.

“We synch internal data to business systems. You can imagine your sales team living in Salesforce and would like to see who’s using your product from your customer data that lives in other internal databases. We have a no-code web app that moves internal data to the business systems of the office,” Suleiman told me.

Data lives in silos across every company, and Polytomic lets you build the connectors by dragging and dropping components in the Polytomic interface. This new data then shows up as additional fields in the target application. So you might have a usage percentage field added to Salesforce automatically if you were connecting to customer usage data.

The company actually sells the product to business operations teams, who would be charged with setting up a catalogue or menu of data sources that live in Polytomic. This is usually handled by someone like a business analyst who can configure the different sources. Once that’s done, anyone can build connectors to these data sources by selecting them from the menu and then choosing where to deliver the data.

The founders came up with the idea for the company because when they were at PlanGrid, they faced a problem getting data to the people who needed it in the company. The problem became more pronounced as the company grew and they had ever more data and more employees who needed access to it.

They left PlanGrid in 2018 and launched Polytomic a year later to begin attacking the problem. The two founders joined YC as a way to learn to refine the product, and were still working on it on Demo Day, delivering their presentation off the record because they weren’t quite done with it yet.

They released the first iteration of the product last September and report some progress getting customers and gaining revenue. Early customers include Brex, ShipBob, Sourcegraph and Vanta.

The company has no additional employees beyond the two founders as of yet, but with the seed funding in the bank, they plan to begin hiring a few people this year.

Dec
02
2020
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Jitsu nabs $2M seed to build open-source data integration platform

Jitsu, a graduate of the Y Combinator Summer 2020 cohort, is developing an open-source data integration platform that helps developers send data to a data warehouse. Today, the startup announced a $2 million seed investment.

Costanoa Ventures led the round with participation from Y Combintaor, The House Fund and SignalFire.

In addition to the open-source version of the software, the company has developed a hosted version that companies can pay to use, which shares the same name as the company. Peter Wysinski, Jitsu’s co-founder and CEO, says a good way to think about his company is an open-source Segment, the customer data integration company that was recently sold to Twilio for $3.2 billion.

But, he says, it goes beyond what Segment provides by allowing you to move all kinds of data, whether customer data, connected device data or other types. “If you look at the space in general, companies want more granularity. So let’s say for example, a couple years ago you wanted to sync just your transactions from QuickBooks to your data warehouse, now you want to capture every single sale at the point of sale. What Jitsu lets you do is capture essentially all of those events, all of those streams, and send them to your data warehouse,” Wysinski explained.

Among the data warehouses it currently supports are Amazon Redshift, Google BigQuery, PostGres and Snowflake.

The founders built the open-source project called EventNative to help solve problems they themselves were having moving data around at their previous jobs. After putting the open-source version on GitHub a few months ago, they quickly attained 1,000 stars, proving that they had delivered something that solved a common problem for data teams. They then built the hosted version, Jitsu, which went live a couple of weeks ago.

For now, the company is just the two co-founders, Wysinski and CTO Vladimir Klimontovich and couple of contract engineers, but they intend to do some preliminary hiring over the next year to grow the company, most likely adding engineers. As they begin to build out the startup, Wysinski says that being open source will help drive diversity and inclusion in their hiring.

“The goal is essentially to go after that open-source community and hire people from anywhere because engineers aren’t just […] one color or one race, they’re everywhere, and being open source, and especially being in a remote world, makes it so, so much simpler [to build a diverse workforce], and a lot of companies I feel are going down that road,” he said.

He says along that line, the plan is to be a fully remote company, even after the pandemic ends, as they hire from anywhere. The goal is to have quarterly offsite meetings to check in with employees, but do the majority of the work remotely.

Nov
19
2020
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Datafold raises seed from NEA to keep improving the lives of data engineers

Data engineering is one of these new disciplines that has gone from buzzword to mission critical in just a few years. Data engineers design and build all the connections between sources of raw data (your payments information or ad-tracking data or what have you) and the ultimate analytics dashboards used by business executives and data scientists to make decisions. As data has exploded, so has their challenge of doing this key work, which is why a new set of tools has arrived to make data engineering easier, faster and better than ever.

One of those tools is Datafold, a YC-backed startup I covered just a few weeks ago as it was preparing for its end-of-summer Demo Day presentation.

Well, that Demo Day presentation and the company’s trajectory clearly caught the eyes of investors, since the startup locked in $2.1 million in seed funding from NEA, the company announced this morning.

As I wrote back in August:

With Datafold, changes made by data engineers in their extractions and transformations can be compared for unintentional changes. For instance, maybe a function that formerly returned an integer now returns a text string, an accidental mistake introduced by the engineer. Rather than wait until BI tools flop and a bunch of alerts come in from managers, Datafold will indicate that there is likely some sort of problem, and identify what happened.

Definitely read our profile if you want to learn more about the product and origin story.

Not a whole heck of a lot has changed over the past few weeks (some new features, some new customers), but with more money in its billfold, Datafold is going to keep on growing, hiring and taking on the world of data engineering.

Nov
11
2020
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Mozart Data lands $4M seed to provide out-of-the-box data stack

Mozart Data founders Peter Fishman and Dan Silberman have been friends for over 20 years, working at various startups, and even launching a hot sauce company together along the way. As technologists, they saw companies building a data stack over and over. They decided to provide one for them and Mozart Data was born.

The company graduated from the Y Combinator Summer 2020 cohort in August and announced a $4 million seed round today led by Craft Ventures and Array Ventures with participation from Coelius Capital, Jigsaw VC, Signia VC, Taurus VC and various angel investors.

In spite of the detour into hot sauce, the two founders were mostly involved in data over the years and they formed strong opinions about what a data stack should look like. “We wanted to bring the same stack that we’ve been building at all these different startups, and make it available more broadly,” Fishman told TechCrunch.

They see a modern data stack as one that has different databases, SaaS tools and data sources. They pull it together, process it and make it ready for whatever business intelligence tool you use. “We do all of the parts before the BI tool. So we extract and load the data. We manage a data warehouse for you under the hood in Snowflake, and we provide a layer for you to do transformations,” he said.

The service is aimed mostly at technical people who know some SQL like data analysts, data scientists and sales and marketing operations. They founded the company earlier this year with their own money, and joined Y Combinator in June. Today, they have about a dozen customers and six employees. They expect to add 10-12 more in the next year.

Fishman says they have mostly hired from their networks, but have begun looking outward as they make their next hires with a goal of building a diverse company. In fact, they have made offers to several diverse candidates, who didn’t ultimately take the job, but he believes if you start looking at the top of the funnel, you will get good results. “I think if you spend a lot of energy in terms of top of funnel recruiting, you end up getting a good, diverse set at the bottom,” he said.

The company has been able to start from scratch in the midst of a pandemic and add employees and customers because the founders had a good network to pitch the product to, but they understand that moving forward they will have to move outside of that. They plan to use their experience as users to drive their message.

“I think talking about some of the whys and the rationale is our strategy for adding value to customers […], it’s about basically how would we set up a data stack if we were at this type of startup,” he said.

Nov
10
2020
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Explo snags $2.3M seed to help build customer-facing BI dashboards

Explo, a member of the Y Combinator Winter 2020 class, which is helping customers build customer-facing business intelligence dashboards, announced a $2.3 million seed round today. Investors included Amplo VC, Soma Capital and Y Combinator, along with several individual investors.

The company originally was looking at a way to simplify getting data ready for models or other applications, but as the founders spoke to customers, they saw a big need for a simple way to build dashboards backed by that data and quickly pivoted.

Explo CEO and co-founder Gary Lin says the company was able to leverage the core infrastructure, data engineering and production that it had built while at Y Combinator, but the new service they created is much different from the original idea.

“In terms of the UI and the output, we had to build out the ability for our end users to create dashboards, for them to embed the dashboards and for them to customize the styles on these dashboards, so that it looks and feels as though it was part of their own product,” Lin explained.

While the founders had been working on the original idea since last year, they didn’t actually make the pivot until September. They made the change because they were hearing this was really what customers needed more than the tool they had been building while at Y Combinator. In fact, Chen says that their YC mentors and investors have been highly supportive of the switch.

The company is just getting started with the four original co-founders — Lin, COO Andrew Chen, CTO Rohan Varma and product designer Carly Stanisic — but the plan is to use this money to beef up the engineering team with three to five new hires.

With a diverse founding team, the company wants to continue looking at diversity as it builds the company. “One of the biggest reasons that we think diversity is important is that it allows us to have a bigger perspective and a grander perspective on things. And honestly, it’s in environments where I have personally […] been involved where we’ve actually been able to create the best ideas was by having a larger perspective. And so we definitely are going to be as inclusive as possible and are definitely thinking about that as we hire,” Lin said.

As the company has grown up during the pandemic, the founding core is used to working remotely and the goal moving forward is to be a distributed company. “We will be a remote distributed company so we’re hiring people no matter where they are, which actually makes it a lot easier from a hiring perspective because we’re able to reach a much more diverse and large pool of applicants,” Lin said.

They are in the process of thinking about how they can build a culture as they bring in distributed employees. “I think the way that we’ve started to see it is that working distributed is not a reduced experience, but just a different one and we are thinking about different things like how we organize new people when they on-board, and maybe we can meet up as a team and have a retreat where we are located in the same place [when travel allows],” he said.

For now, they will remain remote as they take their first half-dozen customers and begin to build the company with the new investment.

Nov
02
2020
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Leena AI nabs $8M Series A as it expands from chatbots to HR service platform

When we covered Leena AI as a member of the Y Combinator Summer 2018 cohort, the young startup was firmly focused on building HR chatbots, but in the intervening years it has expanded the vision to a broader HR policy platform. Today, the company announced an $8 million Series A led by Greycroft with help from several individual industry investors.

Company CEO and co-founder Adit Jain says that in 2018 the company was concentrating on building an intelligent virtual assistant for HR-related questions. It allowed employees to ask the bot questions like how many vacation days they have left or what holidays they have off this year.

Over the last couple of years since leaving Y Combinator, the company has moved into broader HR service delivery. “So I’m talking about having an intelligent case management, knowledge management and document management system, which is backing the virtual assistant as well,” Jain explained.

He says that users should think of it as an entire system where the chatbot is the user interface for employees to interact with the HR information on the back end. For example, he says that the knowledge management component is where the chatbots find the answers to questions, and as employees interact with the chatbot, it grows more intelligent based on the feedback from them.

The document management piece enables HR to write or import HR policies and the case management system comes into play when the situation is too complex for the chatbot to handle and it has to be escalated to a human HR representative.

When we spoke to Jain in September 2018 at the time of his startup’s $2 million seed round, he had 16 customers and hoped to have 50 in the next 12-18 months. Today the company has 100 enterprise customers with 300,000 employees using the platform worldwide.

In fact, the pandemic has fueled business with more than half of those customers coming on board this year. He says this is because companies are looking for ways to digitize processes like HR as employees are working from home more.

“This is a trend that’s going to continue as organizations have realized the value of doing things with more and more digital applications taking care of your processes […] especially mundane, repeatable tasks being handed over to technology more and more,” Jain said.

As the business has grown this year, the company has expanded from 30 to 75 employees and he hopes to double that number in the next year. As he does, he has discussed with his lead investor how to build a diverse and inclusive culture at Leena AI .

One thing he is trying to do is raise some money from a diverse group of investors, approximately $400,000, and his hope is that these diverse investors can help him build solid diversity programs as he adds employees to his growing company.

That the startup hasn’t only grown during these turbulent times, but thrived, shows that companies are looking to modernize every part of the enterprise technology stack, and that includes HR.

Oct
07
2020
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YC grad DigitalBrain snags $3.4M seed to streamline customer service tasks

Most startup founders have a tough road to their first round of funding, but the founders of Digital Brain had it a bit tougher than most. The two young founders survived by entering and winning hackathons to pay their rent and put food on the table. One of the ideas they came up with at those hackathons was DigitalBrain, a layer that sits on top of customer service software like Zendesk to streamline tasks and ease the job of customer service agents.

They ended up in Y Combinator in the Summer 2020 class, and today the company announced a $3.4 million seed investment. This total includes $3 million raised this round, which closed in August, and previously unannounced investments of $250,000 in March from Unshackled Ventures and $150,000 from Y Combinator in May.

The round was led by Moxxie Ventures, with help from Caffeinated Capital, Unshackled Ventures, Shrug Capital, Weekend Fund, Underscore VC and Scribble Ventures, along with a slew of individual investors.

Company co-founder Kesava Kirupa Dinakaran says that after he and his partner Dmitry Dolgopolov met at a hackathon in May 2019, they moved into a community house in San Francisco full of startup founders. They kept hearing from their housemates about the issues their companies faced with customer service as they began scaling. Like any good entrepreneur, they decided to build something to solve that problem.

DigitalBrain is an external layer that sits on top of existing help desk software to actually help the support agents get through their tickets twice as fast, and we’re doing that by automating a lot of internal workflows, and giving them all the context and information they need to respond to each ticket, making the experience of responding to these tickets significantly faster,” Dinakaran told TechCrunch.

What this means in practice is that customer service reps work in DigitalBrain to process their tickets, and as they come upon a problem such as canceling an order or reporting a bug, instead of traversing several systems to fix it, they choose the appropriate action in DigitalBrain, enter the required information and the problem is resolved for them automatically. In the case of a bug, it would file a Jira ticket with engineering. In the case of canceling an order, it would take all of the actions and update all of the records required by this request.

As Dinakaran points out, they aren’t typical Silicon Valley startup founders. They are 20-year-old immigrants from India and Russia, respectively, who came to the U.S. with coding skills and a dream of building a company. “We are both outsiders to Silicon Valley. We didn’t go to college. We don’t come from families of means. We wanted to come here and build our initial network from the ground up,” he said.

Eventually they met some folks through their housemates, who suggested that they apply to Y Combinator. “As we started to meet people that we met through our community house here, some of them were YC founders and they kept saying I think you guys will love the YC community, not just in terms of your ethos, but also just purely from a perspective of meeting new people and where you are,” he said.

He said while he and his co-founder have trouble wrapping their arms around a number like the amount they have in the bank now, considering it wasn’t that long ago that they were struggling to meet expenses every month, they recognize this money buys them an opportunity to help start building a more substantial company.

“What we’re trying to do is really accelerate the development and building of what we’re doing. And we think if we push the gas pedal with the resources we’ve gotten, we’ll be able to accelerate bringing on the next couple of customers, and start onboarding some of the larger companies we’re interested in,” he said.

Oct
05
2020
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GrubMarket raises $60M as food delivery stays center stage

Companies that have leveraged technology to make the procurement and delivery of food more accessible to more people have been seeing a big surge of business this year, as millions of consumers are encouraged (or outright mandated, due to COVID-19) to socially distance or want to avoid the crowds of physical shopping and eating excursions.

Today, one of the companies that is supplying produce and other items both to consumers and other services that are in turn selling food and groceries to them, is announcing a new round of funding as it gears up to take its next step, an IPO.

GrubMarket, which provides a B2C platform for consumers to order produce and other food and home items for delivery, and a B2B service where it supplies grocery stores, meal-kit companies and other food tech startups with products that they resell, is today announcing that it has raised $60 million in a Series D round of funding.

Sources close to the company confirmed to TechCrunch that GrubMarket — which is profitable, and originally hadn’t planned to raise more than $20 million — has now doubled its valuation compared to its last round — sources tell us it is now between $400 million and $500 million.

The funding is coming from funds and accounts managed by BlackRock, Reimagined Ventures, Trinity Capital Investment, Celtic House Venture Partners, Marubeni Ventures, Sixty Degree Capital and Mojo Partners, alongside previous investors GGV Capital, WI Harper Group, Digital Garage, CentreGold Capital, Scrum Ventures and other unnamed participants. Past investors also included Y Combinator, where GrubMarket was part of the Winter 2015 cohort. For some context, GrubMarket last raised money in April 2019 — $28 million at a $228 million valuation, a source says.

Mike Xu, the founder and CEO, said that the plan remains for the company to go public (he’s talked about it before), but given that it’s not having trouble raising from private markets and is currently growing at 100% over last year, and the IPO market is less certain at the moment, he declined to put an exact timeline on when this might actually happen, although he was clear that this is where his focus is in the near future.

“The only success criteria of my startup career is whether GrubMarket can eventually make $100 billion of annual sales,” he said to me over both email and in a phone conversation. “To achieve this goal, I am willing to stay heads-down and hardworking every day until it is done, and it does not matter whether it will take me 15 years or 50 years.”

I don’t doubt that he means it. I’ll note that we had this call in the middle of the night his time in California, even after I asked multiple times if there wasn’t a more reasonable hour in the daytime for him to talk. (He insisted that he got his best work done at 4:30 a.m., a result of how a lot of the grocery business works.) Xu on the one hand is very gentle with a calm demeanor, but don’t let his quiet manner fool you. He also is focused and relentless in his work ethic.

When people talk today about buying food, alongside traditional grocery stores and other physical food markets, they increasingly talk about grocery delivery companies, restaurant delivery platforms, meal kit services and more that make or provide food to people by way of apps. GrubMarket has built itself as a profitable but quiet giant that underpins the fuel that helps companies in all of these categories by becoming one of the critical companies building bridges between food producers and those that interact with customers.

Its opportunity comes in the form of disruption and a gap in the market. Food production is not unlike shipping and other older, non-tech industries, with a lot of transactions couched in legacy processes: GrubMarket has built software that connects the different segments of the food supply chain in a faster and more efficient way, and then provides the logistics to help it run.

To be sure, it’s an area that would have evolved regardless of the world health situation, but the rise and growth of the coronavirus has definitely “helped” GrubMarket not just by creating more demand for delivered food, but by providing a way for those in the food supply chain to interact with less contact and more tech-fueled efficiency.

Sales of WholesaleWare, as the platform is called, Xu said, have seen more than 800% growth over the last year, now managing “several hundreds of millions of dollars of food wholesale activities” annually.

Underpinning its tech is the sheer size of the operation: economies of scale in action. The company is active in the San Francisco Bay Area, Los Angeles, San Diego, Seattle, Texas, Michigan, Boston and New York (and many places in between) and says that it currently operates some 21 warehouses nationwide. Xu describes GrubMarket as a “major food provider” in the Bay Area and the rest of California, with (as one example) more than 5 million pounds of frozen meat in its east San Francisco Bay warehouse.

Its customers include more than 500 grocery stores, 8,000 restaurants and 2,000 corporate offices, with familiar names like Whole Foods, Kroger, Albertson, Safeway, Sprouts Farmers Market, Raley’s Market, 99 Ranch Market, Blue Apron, Hello Fresh, Fresh Direct, Imperfect Foods, Misfit Market, Sun Basket and GoodEggs all on the list, with GrubMarket supplying them items that they resell directly, or use in creating their own products (like meal kits).

While much of GrubMarket’s growth has been — like a lot of its produce — organic, its profitability has helped it also grow inorganically. It has made some 15 acquisitions in the last two years, including Boston Organics and EJ Food Distributor this year.

It’s not to say that GrubMarket has not had growing pains. The company, Xu said, was like many others in the food delivery business — “overwhelmed” at the start of the pandemic in March and April of this year. “We had to limit our daily delivery volume in some regions, and put new customers on waiting lists.” Even so, the B2C business grew between 300% and 500% depending on the market. Xu said things calmed down by May and even as some B2B customers never came back after cities were locked down, as a category, B2B has largely recovered, he said.

Interestingly, the startup itself has taken a very proactive approach in order to limit its own workers’ and customers’ exposure to COVID-19, doing as much testing as it could — tests have been, as we all know, in very short supply — as well as a lot of social distancing and cleaning operations.

“There have been no mandates about masks, but we supplied them extensively,” he said.

So far it seems to have worked. Xu said the company has only found “a couple of employees” that were positive this year. In one case in April, a case was found not through a test (which it didn’t have, this happened in Michigan) but through a routine check and finding an employee showing symptoms, and its response was swift: the facilities were locked down for two weeks and sanitized, despite this happening in one of the busiest months in the history of the company (and the food supply sector overall).

That’s notable leadership at a time when it feels like a lot of leaders have failed us, which only helps to bolster the company’s strong growth.

“Having a proven track record of sustained hypergrowth and net income profitability, GrubMarket stands out as an extraordinarily rare Silicon Valley startup in the food technology and ecommerce segment,” said Jay Chen, managing partner of Celtic House Venture Partner. “Scaling over 15x in 4 years, GrubMarket’s creativity and capital efficiency is unmatched by anyone else in this space. Mike’s team has done an incredible job growing the company thoughtfully and sustainably. We are proud to be a partner in the company’s rapid nationwide expansion and excited by the strong momentum of WholesaleWare, their SaaS suite, which is the best we have seen in space.”
Updated with more detail on the valuation.

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