Accounting platform Synder raises $2M to automate e-commerce bookkeeping

As Synder’s two co-founders Michael Astreiko and Ilya Kisel wrap up their time at Y Combinator, they also announced their seed round of $2 million from TMT Investments.

Though the round was acquired before going into the accelerator program, the Belarus-based pair wanted to wait to publicly share the milestone. As they focus their sights on their next journey of growth and expansion, the new funding will go toward attracting more clients, visibility and sales.

The company bills itself as an easy accounting platform for e-commerce businesses. It was originally founded as CloudBusiness in 2016 and developed accounting automation and management of business finances for small and mid-size businesses.

Astreiko and Kisel started Synder, in 2018 and a year later focused on the company full-time to develop an easy way for commerce companies to shift to omnichannel sales, something Astreiko told TechCrunch can be “a huge pain” due to the complexity of different payment systems and high fees.

“There are a lot of solutions on the market, but you still have to have special knowledge to operate within accounting or commerce,” Kisel said. “For us, the simplicity means that it is worth it if you can have access in several clicks to consolidated inventory, profits and liabilities. Small businesses sometimes are not sharing this information due to competition, but if something is working and easy, they will definitely share it.”

Synder does the heavy lifting for companies by connecting sales channels like Amazon, Shopify, eBay and Etsy into one platform that users can manage with one-click operations. It also created a way to help the accounting stream so that all of the different payment methods can still be used, Kisel said.

The company is already working with 4,000 clients, and will now be fast-tracking their expansion, but will need the right people on board to help the company grow, Astreiko said.

Igor Shoifot, a partner at TMT Investments, said he will join Synder’s board after the company graduates from YC. He likes the simplicity of what the company is doing.

“Often the best solutions are economical, succinct and elegant — you can be onboarded in 10 minutes,” he added. “There is really nobody that really provides a similar solution that was that easy or didn’t require downloading or installing something. I also like their focus on growth, the fact they have no burn and they are making money.”

Synder’s business model is a subscription SaaS model that starts off as a free trial, and users can purchase additional services inside the platform to fit small and large companies.

Its more than 15 employees are spread around Europe, and the company just started hiring in the areas of marketing and sales in the U.S.

 


By Christine Hall

Zeal banks $13M to offer employers a ‘build your own’ payroll product infrastructure

Embedded fintech company Zeal secured $13 million in Series A funding to continue developing its platform for building individualized payroll products.

Spark Capital led the Series A, with participation from Commerce Ventures and a group of individual investors, including Marqeta CEO Jason Gardner and CRO Omri Dahan, Robinhood founder Vlad Tenev, UltimateSoftware executives Mitch Dauerman and Bob Manne and Namely founder Matt Straz. The latest round now gives the company $14.6 million in total funding, which includes a $1.6 million seed round in 2020, CEO Kirti Shenoy told TechCrunch.

The Bay Area company’s origin was as Puzzl, a payment processing startup for the gig economy, founded in 2018 by Shenoy and CTO Pranab Krishnan. It was part of Y Combinator’s 2019 cohort. The pair had to pivot the company after needing to move some of its thousands of 1099 contractors to W2 employee status.

They went looking for payroll processors that could handle high volumes of payroll automatically, like ADP or Paycor, but found they didn’t match some of the capabilities Shenoy and Krishnan wanted, including to pay workers daily and customize earning components.

To ensure other companies didn’t run into the same problem, they decided to build a payroll API that enables their customers to build their own payroll products, even being able to pay their workers everyday. Traditionally, companies would layer together antiquated third-party payroll tools and spend millions of dollars on consulting fees. Zeal’s API tool modernizes the payroll process and takes on the payroll liability while managing the back-end payment logistics, Shenoy said.

Currently, enterprises use Zeal to pay large volumes of workers and keep payment data on their own native systems, while software platforms that sell business-to-business services use Zeal to build their own payroll product to sell to their customers.

“Our mission is to touch every American paycheck with our tax and payment technology, ensuring that American employees are paid correctly and efficiently,” Krishnan said.

And that is a complex goal: there are 200 million American employees, over $8.8 trillion of payroll is processed annually in the U.S. and the country’s 11,000 tax jurisdictions produce over 25,000 income tax code changes a year.

Meanwhile, Shenoy cited IRS data that showed more than 40% of small and medium businesses pay at least one payroll penalty per year. That was one of the drivers for Zeal’s latest product, the Abacus gross-to-net calculator, which payroll companies can use to ensure they are compliant in paying their income taxes.

The co-founders intend to use the new funding to build out their team and strengthen compliance measures to ensure its track record with enterprises.

“We are starting to win more enterprise deals and moving millions of dollars each day,” Shenoy said. “This has been a legacy space for so long, so companies want to work with a provider to move fast.”

Shenoy predicts that more companies will shift to hyper-customized experiences in the next five to 10 years. Whereas the default was a company like ADP, companies will want to control their own data and build products so their customers can do everything payroll-related from one platform.

As part of the investment, Spark Capital’s partner Natalie Sandman has joined Zeal’s board of directors. She previously invested in other embedded fintech companies like Affirm and Marqeta and thinks there are new experiences in the sector that APIs can unlock.

Sandman felt the payroll-building pain points herself when she worked at Zenefits. At the time, the company was trying to do the same thing, but there were no APIs to connect with. There were all of these spreadsheets to transfer data, but one wrong deduction would trickle down and cause a tax penalty.

Shenoy and Krishnan are both “customer-obsessed,” she said, and are balancing speed with thoughtfulness when it comes to understanding how their customers want to build payroll products.

She is seeing a macro shift to audience-driven human resources where bringing new employees online will mean embedding them into products that will be more valuable versus the traditional spreadsheet.

“To me, it is a no-brainer that APIs provide flexibility in the way wages and deductions need to be made,” Sandman said. “You can lose trust in your employer. Payroll is at the deepest trust point and where you want transparency and a robust solution to solve that need.”


By Christine Hall

Forward Kitchens cooks up $2.5M to transform existing kitchens into digital storefronts

Forward Kitchens was working quietly on its digital storefront for restaurants and is now announcing a $2.5 million seed round.

Raghav Poddar started the company two years ago and was part of the Y Combinator Summer 2019 cohort. Poddar told TechCrunch he has been a foodie his entire life. Lately, he was relying on food delivery and pickup services, and while visiting with some of the restaurant owners, he realized a few things: first, not many had a good online presence, and second, these restaurants had the ability to cook cuisine representative of their communities.

That led to the idea of Forward Kitchens, which provides a turnkey tool for restaurants to set up an online presence, including food delivery, where they can create multiple digital storefronts easily and without having to contact each delivery platform. The company ran pilot programs in a handful of restaurants, and this is the first year coming out of stealth.

“It’s an expansion of what they have on the menu, but is not immediately available in the neighborhood,” Poddar added. “Kitchens can keep the costs and headcount the same, but be able to service the demand and get more orders because it is fulfilling a need for the neighborhood, which is why we can grow so fast.”

Here’s how it works: Forward Kitchens goes into a restaurant and takes into account its capacity for additional cooking and the demographic area, as well as what food is available near it, and helps the restaurant create the storefront.

Each restaurant is able to build multiple storefronts, for example, an Italian restaurant setting up a storefront just to sell its popular mac n’ cheese or other small plates on demand. A couple hundred digital storefronts were already created, Poddar said.

A group of investors, including Y Combinator, Floodgate, Slow Ventures and SV Angel and angel investors Michael Seibel of YC, Ram Shriram and Thumbtack’s Jonathan Swanson, were involved in the round.

The new funding will be used to expand the company’s footprint and reach, and to hire a team in operations, sales and engineering to help support the product.

“Forward Kitchens is empowering independent kitchens to create digital storefronts and receive more online sales,” Seibel said via email. “With Forward Kitchens, a kitchen can create world-class digital storefronts at the click of a button.”


By Christine Hall

Rutter comes out of stealth with $1.5M in funding for its e-commerce API

Rutter, a remote-first company, is developing a unified e-commerce API that enables companies to connect with data across any platform.

On Friday the company announced it was emerging from stealth with $1.5 million in funding from a group of investors including Haystack, Liquid 2 and Basis Set Ventures.

Founders Eric Yu and Peter Zhou met in school and started working on Rutter, which Zhou called “Plaid for commerce,” in 2017 before going through the summer 2019 Y Combinator cohort.

They stumbled upon the e-commerce API idea while working in education technology last year. The pair were creating subscription kits and learning materials for parents concerned about how their children would be learning during the global pandemic. Then their vendor customers had problems listing their storefronts on Amazon, so they wrote scripts to help them, but found that they had to write separate scripts for each platform.

With Rutter, customers only need one script to connect anywhere. Its APIs connect to e-commerce platforms like Shopify, Walmart and Amazon so that tech customers can build functions like customer support and chatbots, Yu told TechCrunch.

Lan Xuezhao, founding and managing partner of Basis Set Ventures, said via email that she was “super excited” about Rutter first because of the founders’ passion, grit and speed of iteration to a product. She added it reminded her of another team that successfully built a business from zero to over $7 billion.

“After watching them (Rutter) for a few years, it’s clear what they built is powerful: it’s the central nervous system of online commerce,” Xuezhao added.

As the founders see it, there are two big explosions going on in e-commerce: the platform side with the adoption of headless commerce — the separating of front end and back end functions of an e-commerce site, and new companies coming in to support merchants.

The new funding will enable Yu and Zhou to build up their team, including hiring more engineers.

Due to the company officially launching at the beginning of the year, Yu did not disclose revenue metrics, but did say that Rutter’s API volume was doubling and tripling in the last few months. It is also supporting merchants that connect with over 5,000 stores.

Some of Rutter’s competitors are building one aspect of commerce, like returns, warranties and checkouts, but Yu said that since Shopify represents just 10% of e-commerce, the company’s goal is to take merchants beyond the marketplace by being “that unified app store for merchants to find products.”

“We think that in the future, the e-commerce stack of a merchant will look like the SaaS stack of a software company,” Zhou added. “We want to be the glue that holds that stack together for merchants.”

 


By Christine Hall

Netflify snags YC alum FeaturePeek to add design review capabilities

Netlify, the startup that’s bringing a micro services approach to building websites, announced today that it has acquired YC alum FeaturePeek. The two companies did not share the purchase price.

With FeaturePeek, the company gets a major upgrade in its design review capability. While Netlify has had a previewing capability called Deploy Previews in the platform since 2016, it lacked a good way for reviewers to discuss and comment on the design. The preview alone was useful as far as it goes, but having the ability to collaborate on the design remained a missing piece until today.

With FeaturePeek, the company can expand on Deploy Previews to not only preview the design, but also enable all the stakeholders in the design process to add their opinions, edits and changes as the design moves through the creation process instead of having to wait until the end or gather the comments in a separate document or communications channel.

As FeaturePeek co-founder Eric Silverman told me at the time of their seed funding last year, his product removed a lot of frustration when the web coders would get all their review comments at the last minute:

“Right now, there’s no dedicated place to give feedback on that new work until it hits their staging environment, and so we’ll spin up ad hoc deployment previews, either on commit or on pull requests and those fully running environments can be shared with the team. On top of that, we have our overlay where you can file bugs, you can annotate screenshots, record video or leave comments.”

Matt Biilmann, CEO and co-founder, Netlify says that when his company created Deploy Previews, it was in reaction to customers who were kloodging together their own solutions to the issue. They learned that even with their own preview feature, customers craved a communications capability.

In the classic build versus buy debate, the company began building its own, then it met the FeaturePeek team and decided to switch course. “We had a team working on a prototype when the founders of FeaturePeek, Eric and Jason, gave us a demo of their product. As the demo progressed, our jaws got increasingly closer to hitting the floor and we knew straight away that what we had just seen was miles away from both our internal prototypes and any of the other tools we had seen in the space,” Billman told TechCrunch.

He added, “It also quickly became apparent that fully building towards this vision as two different companies, without a deep end-to-end experience from initial Pull Request to a new feature release, would never really allow us to build what we were dreaming of, so we decided to join forces.”

The companies’ combined effort actually comes together today in a new release of Deploy Previews that includes the new FeaturePeek collaboration/commenting capabilities.

FeaturePeek was founded in 2019, went through Y Combinator Summer 2019 batch, and raised around $2 million. Netlify was founded in 2014 and has raised over $97 million, according to Crunchbase. Its last raise was a $53 million Series C in March 2020.


By Ron Miller

PingPong is a video chat app for product teams working across multiple time zones

From the earliest days of the pandemic, it was no secret that video chat was about to become a very hot space.

Over the past several months investors have bankrolled a handful of video startups with specific niches, ranging from always-on office surveillance to platforms that encouraged plenty of mini calls to avoid the need for more lengthy team-wide meetings. As the pandemic wanes and plenty of startups begin to look towards hybrid office models, there are others who have decided to lean into embracing a fully remote workforce, a strategy that may require new tools.

PingPong, a recent launch from Y Combinator’s latest batch, is building an asynchronous video chat app for the workplace. We selected PingPong as one of our favorite startups that debuted last week.

The company’s central sell is that for remote teams, there needs to be a better alternative to Slack or email for catching up with co-workers across time zones. While Zoom calls might be able to convey a company’s culture better than a post in a company-wide Slack channel, for fully remote teams operating on different continents, scheduling a company-wide meeting is often a non-starter.

PingPong is selling its service as an addendum to Slack that helps remote product teams collaborate and convey what they’re working on. Users can capture a short video of themselves and share their screen in lieu of a standup presentation and then they can get caught up on each other’s progress on their own time. PingPong’s hope is that users find more value in brainstorming, conducting design reviews, reporting bugs and more inside while using asynchronous video than they would with text.

“We have a lot to do before we can replace Slack, so right now we kind of emphasize playing nice with Slack,” PingPong CEO Jeff Whitlock tells TechCrunch. “Our longer term vision is that what young people are doing in their consumer lives, they bring into the enterprise when they graduate into the workforce. You and I were using Instant Messenger all the time in the early 2000s and then we got to the workplace, that was the opportunity for Slack… We believe in the next five or so years, something that’s a richer, more asynchronous video-based Slack alternative will have a lot more interest.”

Building a chat app specifically designed for remote product teams operating in multiple time zones is a tight niche for now, but Whitlock believes that this will become a more common problem as companies embrace the benefits of remote teams post-pandemic. PingPong costs $100 per user per year.


By Lucas Matney

Nigeria’s Termii raises $1.4M seed led by Future Africa and Kepple Africa Ventures

Ideally, it is expected of every business to reach its customers effectively. However, that’s not the case as limiting factors that hinder proper digital communication come into play at different growth stages. Termii, a Nigerian communications platform-as-a-service startup that solves this problem for African businesses, announced today that it has closed a $1.4 million seed round.

The round was co-led by African early-stage VC firm Future Africa and Japanese but Africa-focused VC Kepple Africa Ventures. Other investors include Acuity Ventures, Aidi Ventures, Assembly Capital, Kairos Angels, Nama Ventures, RallyCap Ventures, and Remapped Ventures.

Angel investors like Ham Serunjogi, co-founder and CEO of Chipper Cash; Josh Jones, former co-founder and CTO, Dreamhost; and Tayo Oviosu, co-founder and CEO of Paga also participated.

Gbolade Emmanuel and Ayomide Awe launched Termii after Emmanuel’s experience as a digital marketer helped him recognize the need for businesses to have exceptional communication channels. The CEO consulted for these companies and leveraged emails to retain customers, but as he found out that this process was lethargic, he sought other channels as a replacement.

“That got me to start thinking about multichannel messaging. What it meant was that we needed to find how to allow companies to use WhatsApp, voice, SMS effectively,” he said to TechCrunch. “And we had to make the process simple because in the African market, you can’t do complex stuff. You have to be as simple as possible.”

In 2017, the company officially launched and subsequently secured investment from Lagos-based VC Microtraction. Emmanuel says the company found product-market fit two years later after collating enough data from companies in different industries to understand what they really wanted.

Termii found out that in addition to assisting businesses to retain customers, there was a clear need to verify, authenticate and engage them.

“Many of these businesses we started engaging said they required tools to effectively communicate and verify customers because they were losing money at those points. For us, we saw it was a bigger problem,” Emmanuel added.

After making some tweaks, the team began to see an increase in customers numbers, especially amongst fintech startups. Positioning itself in the fast-moving space, Termii created an API-based communication infrastructure that caters to over 500 fintech startups across the continent. That’s not all. More than 1,000 businesses and developers are also using Termii’s API.

Some of these businesses include uLesson, Yassir, Helium Health, Piggyvest, Bankly, Paga, and TeamApt.

Playing in a $3.6 billion B2C communications market estimated to grow 6% annually, Termii runs a B2B2C model. But how does it make money? While a subscription-based model would’ve made sense, the two years spent by the company trying to find PMF made them think otherwise.

So the company leverages a virtual wallet system tied to a bank account and customers can make payments to the platform using mobile money, bank transfer, and credit cards. The startup charges these wallets on a per-message basis. It also does the same on every successful customer verification made towards customers’ contacts.

The Termii team

In early 2020, Termii started seeing immense progress and this coincided with their acceptance into Y Combinator. The growth continued throughout the year, growing its messaging transactions by 1000% and experiencing a 400% increase in its ARR.

Spilling into this year, Emmanuel says the company’s revenue is growing 60% month-on-month as a result of the surge in online financial transactions which to date makes up for 68% of the company’s total messaging transactions.

The seed investment that is coming a year after Termii graduated from the YC will be used for expansion and launch more messaging offerings across Africa.

Emmanuel says the company has its sights on North Africa with a physical presence in Algeria for the expansion. The reason lies behind the fact that in this quarter, Nigeria has accounted for 76% of the company’s messaging transactions, while Algeria currently accounts for 15%.

With this new fundraising, the company plans to tap into the wealth of experience from some of its new investors like Oviosu and Serunjogi who have also taken local companies into expansion phases.

Termii’s round is also noteworthy because it strays away from the usual fintech, mobility, agritech and cleantech sectors that investors typically notice. In fact, there are only a handful of venture-backed communications platform-as-a-service companies on the continent. A notable example is Kenya’s Africa Talking. It might be a stretch to say we might see more funding activity from this segment but one thing is apparent — investors are willing to place bets on less popular sectors.

Another highlight of Termii’s investment is that while foreign investors continue to dominate rounds in African tech startups, local and Africa-focused firms are beginning to step up by leading some which is a good sign for the bubbling ecosystem.

This round is also a big step for Future Africa. According to publicly available information, the firm is leading a million-dollar round for the first time since officially launching last year. This achievement is a continuation of its work over the past three quarters having invested in more than 10 African startups in the last three quarters and 30 startups in general. 

Kepple Africa Ventures, the co-lead, is also an active investor and can be argued to be the most early-stage VC firm on the continent — in terms of the number of deals made. So far, the firm has invested in 79 companies across 11 countries. 

Speaking on the investment for Kepple Africa, Satoshi Shinada, a partner at the firm, said, “Fragmented and unstable communication channels are one of the biggest challenges for the digitization of businesses in Africa. Emmanuel has proven that with his visionary goals and solid implementation of iterations on the ground, his team is unparalleled to build an innovative solution in this space.”


By Tage Kene-Okafor

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.


By Ron Miller

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 YCombintaor, 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 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 include 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 1000 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, 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.


By Ron Miller

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.


By Danny Crichton

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.


By Ron Miller

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.

Company 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 have 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 e 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.


By Ron Miller

Leena AI nabs $8M Series 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 actually 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.


By Ron Miller

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 on 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 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 chose 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 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 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.


By Ron Miller

Datasaur snags $3.9M investment to build intelligent machine learning labeling platform

As machine learning has grown, one of the major bottlenecks remains labeling things so the machine learning application understands the data it’s working with. Datasaur, a member of the Y Combinator Winter 2020 batch, announced a $3.9 million investment today to help solve that problem with a platform designed for machine learning labeling teams.

The funding announcement, which includes a pre-seed amount of $1.1 million from last year and $2.8 million seed right after it graduated from Y Combinator in March, included investments from Initialized Capital, Y Combinator and OpenAI CTO Greg Brockman.

Company founder Ivan Lee says that he has been working in various capacities involving AI for seven years. First when his mobile gaming startup, Loki Studios was acquired by Yahoo! in 2013, and Lee was eventually moved to the AI team, and most recently at Apple. Regardless of the company, he consistently saw a problem around organizing machine learning labeling teams, one that he felt he was uniquely situated to solve because of his experience.

“I have spent millions of dollars [in budget over the years] and spent countless hours gathering labeled data for my engineers. I came to recognize that this was something that was a problem across all the companies that I’ve been at. And they were just consistently reinventing the wheel and the process. So instead of reinventing that for the third time at Apple, my most recent company, I decided to solve it once and for all for the industry. And that’s why we started Datasaur last year,” Lee told TechCrunch.

He built a platform to speed up human data labeling with a dose of AI, while keeping humans involved. The platform consists of three parts: a labeling interface, the intelligence component, which can recognize basic things, so the labeler isn’t identifying the same thing over and over, and finally a team organizing component.

He says the area is hot, but to this point has mostly involved labeling consulting solutions, which farm out labeling to contractors. He points to the sale of Figure Eight in March 2019 and to Scale, which snagged $100 million last year as examples of other startups trying to solve this problem in this way, but he believes his company is doing something different by building a fully software-based solution

The company currently offers a cloud and on-prem solution, depending on the customer’s requirements. It has 10 employees with plans to hire in the next year, although he didn’t share an exact number. As he does that, he says he has been working with a partner at investor Initialized on creating a positive and inclusive culture inside the organization, and that includes conversations about hiring a diverse workforce as he builds the company.

“I feel like this is just standard CEO speak but that is something that we absolutely value in our top of funnel for the hiring process,” he said.

As Lee builds out his platform, he has also worried about built-in bias in AI systems and the detrimental impact that could have on society. He says that he has spoken to clients about the role of labeling in bias and ways of combatting that.

“When I speak with our clients, I talk to them about the potential for bias from their labelers and built into our product itself is the ability to assign multiple people to the same project. And I explain to my clients that this can be more costly, but from personal experience I know that it can improve results dramatically to get multiple perspectives on the exact same data,” he said.

Lee believes humans will continue to be involved in the labeling process in some way, even as parts of the process become more automated. “The very nature of our existence [as a company] will always require humans in the loop, […] and moving forward I do think it’s really important that as we get into more and more of the long tail use cases of AI, we will need humans to continue to educate and inform AI, and that’s going to be a critical part of how this technology develops.”


By Ron Miller