Kleiner Perkins
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When Kleiner Perkins led Stord’s $12.4 million Series A in 2019, its founders were in their early 20s and so passionate about their startup that they each dropped out of their respective schools to focus on growing the business.
Fast-forward two years and Stord — an Atlanta-based company that has developed a cloud supply chain — is raising more capital in a round again led by Kleiner Perkins.
This time, Stord has raised $90 million in a Series D round of funding at a post-money valuation of $1.125 billion — more than double the $510 million that the company was valued at when raising $65 million in a Series C financing just six months ago.
In fact, today’s funding marks Stord’s third since early December of 2020, when it raised its Series B led by Peter Thiel’s Founders Fund, and brings the company’s total raised since its 2015 inception to $205 million.
Besides Kleiner Perkins, Lux Capital, D1 Capital, Palm Tree Crew, BOND, Dynamo Ventures, Founders Fund, Lineage Logistics and Susa Ventures also participated in the Series D financing. In addition, Michael Rubin, Fanatics founder and founder of GSI Commerce; Carlos Cashman, CEO of Thrasio; Max Mullen, co-founder of Instacart; and Will Gaybrick, CPO at Stripe, put money in the round. Previous backers include BoxGroup, Susa Ventures, Dynamo, Revolution and Rise of the Rest Seed Fund, among others.
Founders Sean Henry, 24, and Jacob Boudreau, 23, met while Henry was at Georgia Tech and Boudreau was in online classes at Arizona State (ASU) but running his own business, a software development firm, in Atlanta.
Over time, Stord has evolved into a cloud supply chain that can give companies a way to compete and grow with logistics, and provides an integrated platform “that’s available exactly when and where they need it,” Henry said. Stord combines physical logistics services such as freight, warehousing and fulfillment in that platform, which aims to provide “complete visibility, rapid optimization and elastic scale” for its users.
About two months ago, Stord announced the opening of its first fulfillment center, a 386,000-square-foot facility, in Atlanta, which features warehouse robotics and automation technologies. “It was the first time we were in a building ourselves running it end to end,” Henry said.
And today, the company is announcing it has acquired Connecticut-based Fulfillment Works, a 22-year-old company with direct-to-consumer (DTC) experience and warehouses in Nevada and in its home state.
With FulfillmentWorks, the company says it has increased its first-party warehouses, coupled with its network of over 400 warehouse partners and 15,000 carriers.
While Stord would not disclose the amount it paid for Fulfillment Works, Henry did share some of Stord’s impressive financial metrics. The company, he said, in 2020 delivered its third consecutive year of 300+% growth, and is on track to do so again in 2021. Stord also achieved more than $100 million in revenue in the first two quarters of 2021, according to Henry, and grew its headcount from 160 people last year to over 450 so far in 2021 (including about 150 Fulfillment Works employees). And since the fourth quarter is often when people do the most online shopping, Henry expects the three-month period to be Stord’s heaviest revenue quarter.
For some context, Stord’s new sales were up “7x” in the second quarter of 2020 compared to the same period last year. So far in the third quarter, sales are up almost 10x, according to Henry.
Put simply, Stord aims to give brands a way to compete with the likes of Amazon, which has set expectations of fast fulfillment and delivery. The company guarantees two-day shipping to anywhere in the country.
“The supply chain is the new competitive battleground,” Henry said. “Today’s buying expectations set by Amazon and the rise of the omni-channel shopper have placed immense pressure on companies to maintain more nimble and efficient supply chains… We want every company to have world-class, Prime-like supply chains.”
What makes Stord unique, according to Henry, is the fact that it has built what it believes to be the only end-to-end logistics network that combines the physical infrastructure with software.
That too is one of the reasons that Kleiner Perkins doubled down on its investment in the company.
Ilya Fushman, Stord board director and partner at Kleiner Perkins, said even at the time of his firm’s investment in 2019, that Henry displayed “amazing maturity and vision.”
At a high level, the firm was also just drawn to what he described as the “incredibly large market opportunity.”
“It’s trillions of dollars of products moving around with consumer expectation that these products will get to them the same day or next day, wherever they are,” Fushman told TechCrunch. “And while companies like Amazon have built amazing infrastructure to do that themselves, the rest of the world hasn’t really caught up… So there’s just amazing opportunity to build software and services to modernize this multitrillion-dollar market.”
In other words, Fushman explained, Stord is serving as a “plug and play” or “one stop shop” for retailers and merchants so they don’t have to spend resources on their own warehouses or building their own logistics platforms.
Stord launched the software part of its business in January 2020, and it grew 900% during the year, and is today one of the fastest-growing parts of its business.
“We built software to run our logistics and network of hundreds of warehouses,” Henry told TechCrunch. “But if companies want to use the same system for existing logistics, they can buy our software to get that kind of visibility.”
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Relationships ultimately close deals, but long-term relationships come with a lot of baggage, i.e. email interactions, documents and meetings.
Affinity wants to take what Ray Zhou, co-founder and CEO, refers to as “data exhaust,” all of those daily interactions and communications, and apply machine learning analysis and provide insights on who in the organization has the best chance of getting that initial meeting and closing the deal.
Today, the company announced $80 million in Series C funding, led by Menlo Ventures, which was joined by Advance Venture Partners, Sprints Capital, Pear Ventures, Sway Ventures, MassMutual Ventures, Teamworthy and ECT Capital Partners’ Brian N. Sheth. The new funding gives the company $120 million in total funding since it was founded in 2014.
Affinity, based in San Francisco, is focused on industries like investment banking, private equity, venture capital, consulting and real estate, where Zhou told TechCrunch there aren’t customer relationship management systems or networking platforms that cater to the specific needs of the long-term relationship.
Stanford grads Zhou and co-founder Shubham Goel started the company after recognizing that while there was software for transactional relationships, there wasn’t a good option for the relationship journeys.
He cites data that show up to 90% of company profiles and contact information living in traditional CRM systems are incomplete or out of date. This comes as market researcher Gartner reported the global CRM software market grew 12.6% to $69 billion in 2020.
“It is almost bigger than sales,” Zhou said. “Our worldview is that relationships are the biggest industries in the world. Some would disagree, but relationships are an asset class, they are a currency that separates the winners from the losers.”
Instead, Affinity created “a new breed of CRM,” Zhou said, that automates the inputting of that data constantly and adds information, like revenue, staff size and funding from proprietary data sources, to assign a score to a potential opportunity and increase the chances of closing a deal.
Affinity people profile. Image Credits: Affinity
He intends to use the new funding to expand sales, marketing and engineering to support new products and customers. The company has 125 employees currently; Zhou expects to be over 200 by next year.
To date, the company’s platform has analyzed over 18 trillion emails and 213 million calendar events and currently drives over 500,000 new introductions and tracks 450,000 deals per month. It also has more than 1,700 customers in 70 countries, boasting a list that includes Bain Capital Ventures, Kleiner Perkins, SoftBank Group, Nike, Qualcomm and Twilio.
Tyler Sosin, partner at Menlo Ventures, said he met Zhou and Goel at a time when the firm was looking into CRM companies, but it wasn’t until years later that Affinity came up again when Menlo itself wanted to work with a more modern platform.
As a user of Affinity himself, Sosin said the platform gives him the data he cares about and “removes the manual drudgery of entry and friction in the process.” Affinity also built a product that was intuitive to navigate.
“We have always had an interest in getting CRMs to the next generation, and Affinity is defining itself in a new category of relationship intelligence and just crushing it in the private capital markets,” he said. “They are scaling at an impressive growth rate and solving a hard problem that we don’t see many other companies in the space doing.”
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Work insights platform Fin raised $20 million in Series A funding and brought in Evan Cummack, a former Twilio executive, as its new chief executive officer.
The San Francisco-based company captures employee workflow data from across applications and turns it into productivity insights to improve the way enterprise teams work and remain engaged.
Fin was founded in 2015 by Andrew Kortina, co-founder of Venmo, and Facebook’s former VP of product and Slow Ventures partner Sam Lessin. Initially, the company was doing voice assistant technology — think Alexa but powered by humans and machine learning — and then workplace analytics software in 2020. You can read more about Fin’s origins at the link below.
The new round was led by Coatue, with participation from First Round Capital, Accel and Kleiner Perkins. The original team was talented, but small, so the new funding will build out sales, marketing and engineering teams, Cummack said.
“At that point, the right thing was to raise money, so at the end of last year, the company raised a $20 million Series A, and it was also decided to find a leadership team that knows how to build an enterprise,” Cummack told TechCrunch. “The company had completely pivoted and removed ‘Analytics’ from our name because it was not encompassing what we do.”
Fin’s software measures productivity and provides insights on ways managers can optimize processes, coach their employees and see how teams are actually using technology to get their work done. At the same time, employees are able to manage their workflow and highlight areas where there may be bottlenecks. All combined, it leads to better operations and customer experiences, Cummack said.
Graphic showing how work is really done. Image Credits: Fin
Fin’s view is that as more automation occurs, the company is looking at a “renaissance of human work.” There will be more jobs and more types of jobs, but people will be able to do them more effectively and the work will be more fulfilling, he added.
Particularly with the use of technology, he notes that in the era before cloud computing, there was a small number of software vendors. Now with the average tech company using over 130 SaaS apps, it allows for a lot of entrepreneurs and adoption of best-in-breed apps so that a viable company can start with a handful of people and leverage those apps to gain big customers.
“It’s different for enterprise customers, though, to understand that investment and what they are spending their money on as they use tools to get their jobs done,” Cummack added. “There is massive pressure to improve the customer experience and move quickly. Now with many people working from home, Fin enables you to look at all 130 apps as if they are one and how they are being used.”
As a result, Fin’s customers are seeing metrics like 16% increase in team utilization and engagement, a 25% decrease in support ticket handle time and a 71% increase in policy compliance. Meanwhile, the company itself is doubling and tripling its customers and revenue each year.
Now with leadership and people in place, Cummack said the company is positioned to scale, though it already had a huge head start in terms of a meaningful business.
Arielle Zuckerberg, partner at Coatue, said via email that she was part of a previous firm that invested in Fin’s seed round to build a virtual assistant. She was also a customer of Fin Assistant until it was discontinued.
When she heard the company was pivoting to enterprise, she “was excited because I thought it was a natural outgrowth of the previous business, had a lot of potential and I was already familiar with management and thought highly of them.”
She believed the “brains” of the company always revolved around understanding and measuring what assistants were doing to complete a task as a way to create opportunities for improvement or automation. The pivot to agent-facing tools made sense to Zuckerberg, but it wasn’t until the global pandemic that it clicked.
“Service teams were forced to go remote overnight, and companies had little to no visibility into what people were doing working from home,” she added. “In this remote environment, we thought that Fin’s product was incredibly well-suited to address the challenges of managing a growing remote support team, and that over time, their unique data set of how people use various apps and tools to complete tasks can help business leaders improve the future of work for their team members. We believe that contact center agents going remote was inevitable even before COVID, but COVID was a huge accelerant and created a compelling ‘why now’ moment for Fin’s solution.”
Going forward, Coatue sees Fin as “a process mining company that is focused on service teams.” By initially focusing on customer support and contact center use case — a business large enough to support a scaled, standalone business — rather than joining competitors in going after Fortune 500 companies where implementation cycles are long and there is slow time-to-value, Zuckerberg said Fin is better able to “address the unique challenges of managing a growing remote support team with a near-immediate time-to-value.”
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G2 Venture Partners, a firm that spun out of Kleiner Perkins Caufield & Byers, has raised $500 million to support entrepreneurs that aim to make existing industries more efficient, environmentally friendly and socially responsible.
With Fund II, G2 is most bullish about technologies in transportation, logistics, manufacturing, agriculture and energy, with an increasing focus on sustainability, according to a spokesperson for the firm.
“The launch of our second fund expands our ability to work with companies that are moving the needle to redefine and revolutionize their respective industries,” said G2VP founding partner David Mount in a statement. “We will continue to partner with technology companies that are pushing the future of industry forward, driving economic growth with reduced resource intensity.”
Investors in the new fund include Shell Ventures, Mitsui & Co., Daimler AG, ABB Switzerland Ltd. and The McKnight Foundation, a G2 spokesperson told TechCrunch. John Doerr, famed investor and VC at Kleiner, also personally invested in the fund. Doerr invested in G2VP’s initial $350 million fund back in 2018, and he’s known for delivering an emotional TED Talk in which he argued for increased investments in clean energy.
The team’s interest in sustainability and cleantech goes back to Kleiner. While at Kleiner Perkins, the team led rounds in AVEVA-acquired industrial data management platform OSIsoft and solar energy company Enphase. In 2017, Doerr stepped back in to help Enphase with another $10 million alongside T.J. Rodgers.
G2 would not provide names of portfolio companies for this newest fund yet, but a spokesperson did say Fund II will be investing in a new set of companies. Any follow-on investments in companies from Fund I will be made out of that fund.
The firm invested in 15 late-stage companies in Fund I and expects to invest in a similar number of companies in Fund II. G2 typically invests $10 million to $50 million in each company. Past portfolio companies include lidar manufacturer Luminar, EV tech company Proterra, computer vision solutions provider Scandit, autonomous robot company Seegrid and agricultural supply chain platform ProducePay, among others.
“This team has consistently shown vision and taken action that is ahead of the curve on many aspects of the digital industrial transition the world is in the midst of,” said Robert Linck, chief investment officer of Shell Ventures, a limited partner in G2’s first and second funds, in a statement. “The brain trust at this firm will be a significant asset to the new generation of technology leaders and path breakers that is emerging today.”
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As decentralized currencies have taken off in recent months, there’s been renewed attention around DAOs, or Decentralized Autonomous Organizations, as a means of bringing together groups of investors who can deploy capital as a unit while voting collectively on those investments. In the spirit of blockchain, they aim to bring greater transparency to investment decision-making.
A number of high-profile DAOs have launched in recent months as the fervor for crypto mania increased. Komorebi Collective, launching today, is a new organization founded by women in the blockchain space that will be making investments exclusively in “exceptional female and nonbinary crypto founders,” founding member Manasi Vora tells TechCrunch.
The group is comprised of a number of core team members largely assembled from the crypto nonprofit she256 and the organization Women in Blockchain, including Vora, Eva Wu, Kristie Huang, Medha Kothari and Kinjal Shah, who will collectively do most of the heavy lifting behind finding and presenting investments to the group. Other hand-selected members who committed a minimum of $5,000 USD will likely have a lighter commitment.
Each investment will be voted on by all the collective’s key signers, some 36 in total, the majority of whom are female.
“DAOs level the hierarchy of a venture fund by ensuring everyone is going to have a seat at the table,” says Shah, who is also an investor at crypto VC firm Blockchain Capital. “We are very careful in approaching the backers that are really mission-aligned.”
Other members of the DAO include firms like Kleiner Perkins, Mechanism Capital, Dragonfly Capital, IDEO CoLab Ventures and Stacks Accelerator alongside a number of individuals and founders who work at firms like Twitter, Coinbase, Skynet Labs, Celo Labs and Gitcoin.
The organization itself is built on the Syndicate Protocol, a project that shares some of Komorebi Collective’s backers.
The group hopes the structure of their organization will be able to take a mission-driven approach that improves diversity in the crypto space while proving the sustainability of the DAO model. Despite an explosion in startup investments in the past year, women-led startups received just 2.3% of venture dollars invested in 2020, a study in HBR found.
“There’s so much more room to grow when it comes to female founders getting funding and I want to be part of the solution,” Shah tells TechCrunch.
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Trees, those deciduous entities you can occasionally see outdoors when not locked down or strapped down at a desktop ruminating on a video call, have long been the inspiration for fresh new ideas. Stories abound of how founders built companies while walking the foothills in Silicon Valley or around parks in San Francisco, and yet, we’ve managed over the past year to take movement mostly out of our remote work lives.
Chicago-based Spot Meetings wants to reinvigorate our meetings — and displace Zoom as the default meeting medium at the same time.
The product and company are just a few months old and remain in closed beta (albeit opening up a bit shortly here), and today the company is announcing $5 million in seed funding led by Ilya Fushman at Kleiner Perkins. That follows a $1.9 million pre-seed round led by Chapter One earlier this year.
CEO and co-founder Greg Caplan said that the team is looking to rebuild the meeting from the ground up for an audio-only environment. “On mobile, it needs to be abundantly simple to be very functional and understood for users so that they can actually use it on the go,” he described. In practice, that requires product development across a wide range of layers.
The product’s most notable feature today is that it has an assistant, aptly named Spot, which listens in on the call and which participants can direct commands to while speaking. For instance, saying “Spot Fetch” will pull the last 40 seconds of conversation, transcribe it, create a note in the meeting and save it for follow-up. That prevents the multi-hand tapping required to save a note or to-do list for follow-up with our current meeting products. You “don’t even need to take your phone out,” Caplan points out.
What gets more interesting is the collaboration layer the company has built into the product. Every audio meeting has a text-based scratch pad shared with all participants, allowing users to copy and paste snippets into the meeting as needed. Those notes and any information that Spot pulls in are saved into workspaces that can be referenced later. Spot also sends out emails to participants with follow-ups from these notes. If the same participants join another audio meeting later, Spot will pull in the notes from their last meeting so there is a running timeline of what’s been happening.
Spot’s product design emphasizes collaboration within an audio-focused experience. Image Credits: Spot Meetings
Obviously, transcription features are built-in, but Spot sees opportunities in offering edited transcripts of long calls where only a few minutes of snippets might be worth specifically following up on. So the product is a bit more deliberate in encouraging users to select the parts of a conversation that are relevant for their needs, rather than delivering a whole bolus of text that no one is ever actually going to read.
“Collaboration from now and the future is going to be primarily digital … in-person is forever going to be the exception and not the rule,” Caplan explained. Longer term, the company wants to add additional voice commands to the product and continue building an audio-first (and really, an audio-only) environment. Audio “very uniquely helps people focus on the conversation at hand,” he said, noting that video fatigue is a very real phenomenon today for workers. To that end, more audio features like smarter muting are coming. When a participant isn’t talking, their background noise will automatically melt away.
Before Spot Meetings, Caplan was the CEO and co-founder of Remote Year, a startup that was designing a service for company employees to take working trips overseas. I first covered it back in 2015, and it went on to raise some serious venture dollars before the pandemic hit last year and the company laid off 50% of its workforce. Caplan left as CEO in April last year, and the company was ultimately sold to Selina, which offers co-working spaces to travelers, in October.
Caplan’s co-founder who leads product and engineering at Spot Meetings is Hans Petter “HP” Eikemo. The duo met during the very first Remote Year cohort. “He has been a software engineer for two decades [and was] literally the first person I called,” Caplan said. The team will grow further with the new funding, and the company hopes to start opening its beta to its 6,000 waitlist users over the next 3-4 weeks.
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A year and a half’s worth of global pandemic has had a profound impact on virtually every sector of the workforce. When it comes to future automation, food prep isn’t quite at the top of the list (that distinction likely goes to warehouse fulfillment, for the time being), but it’s certainly up there. And it’s easy to see why the events of 2020 and beyond have left many kitchens looking for alternative sources of labor.
San Francisco-based Chef Robotics today announced that it has raised a combined $7.7 million pre-seed and seed round, with the goal of helping automate certain aspects of food preparation. The list of investors is pretty long on this one (with seed and pre-seed rolled up into one), including Kleiner Perkins, Promus Ventures, Construct, Bloomberg Beta, BOLD Capital Partners, Red and Blue Ventures, Gaingels, Schox VC, Stewart Alsop and Tau Ventures, among others.
The product team includes ex-employees of Cruise, Google, Verb Surgical, Zoox and Strateos. Chef’s team isn’t quite ready to show off its robot just yet (hence generic kitchen stock photo #8952 up top) — not entirely unusual for a robotics company still in the early stages. What it has outlined, thus far, is a robotics and vision system destined to increase production volume and enhance consistency, while removing some food waste from the process. Fast casual restaurants appear to be a key focus for this sort of tech.
The company describes it thusly:
Chef is designed to mimic the flexibility of humans, allowing customers to handle thousands of different kinds of food using minimal hardware changes. Chef does this using artificial intelligence that can learn how to handle more and more ingredients over time and that also improves. This allows customers to do things like change their menu often. Additionally, Chef’s modular architecture allows customers to quickly scale up just as they would by hiring more staff (but unlike humans, Chef always shows up on time and doesn’t need breaks).
More details on the underlying tech soon, no doubt.
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Robotic process automation (RPA) has found a strong foothold in the world of enterprise IT through its effective use of AI and other technology to help automate repetitive tasks to free up people to focus on more complicated work. Today, a startup called Infinitus is coming out of stealth to apply this concept to the world of healthcare — specifically, to speed up the process of voice communication between entities in the fragmented U.S. healthcare industry.
Infinitus uses “voice RPA” to become the machine-generated voice that makes calls from, say, healthcare providers or pharmacies to insurance companies to go through a series of questions (directed at humans at the other end) that typically need to be answered before payments are authorized and other procedures can take place. Those conversations are then ingested into Infinitus’s platform to parse them for relevant information that is input into the right fields to trigger whatever actions need to happen as a result of the calls.
The startup is coming out of “stealth mode” today but it has been around for a couple of years already and has signed on a number of large healthcare companies as customers — for example, the wholesale drug giant AmerisourceBergen — and is in some cases contributing its technology to public health efforts around the current coronavirus pandemic, with one organization currently using it to automate a mass calling system across several states to get a better idea of vaccine availability to help connect the earliest doses with the most vulnerable groups that need them the fastest.
It made 75,000 calls on behalf of 12,000 providers in January alone.
Infinitus’ public launch is also coming with a funding kicker: it has picked up $21.4 million in Series A funding from a group of big-name investors to build the business.
The round is being co-led by Kleiner Perkins and Coatue, with Gradient Ventures (Google’s early-stage AI fund), Quiet Capital, Firebolt Ventures and Tau Ventures also participating, along with individual investments from a selection of executives across the worlds of AI and big tech: Ian Goodfellow, Gokul Rajaram, Aparna Chennapragada and Qasar Younis.
Coatue is shaping up to be a huge investor in the opportunity in RPA. Earlier this week, it emerged that it co-led the latest investment in UiPath, one of the leaders in the space, having been a part of previous rounds as well.
“Coatue is proud to have led the Series A in Infinitus,” says Yanda Erlich, a general partner at Coatue. “We are big believers in the transformative power of RPA and Enterprise Automation. We believe Infinitus’ VoiceRPA solution enables healthcare organizations to automate previously costly and manual calls and faxes and empowers these organizations to see benefits from end-to-end process automation.”
The problem that Infinitus is addressing is the fact that healthcare, in particular in the privatized U.S. market, has a lot of time-consuming and often confusing red tape when it comes to getting things done. And a lot of the most immediate pain points of that process can be found in voice calls, which are the primary basis of critical communications between different entities in the ecosystem.
Voice calls are used to initiate most processes, whether it’s to obtain critical information, follow up on a form or previous communication, or pass on some data, or of course provide clearance for a payment.
There are 900 million calls of these kinds made in the U.S., with the average length of each call 35 minutes, and with the average healthcare professional who works in an administrative role to make those calls dedicating some 4.5 hours each day to being on the phone.
All of this ultimately adds to the exorbitant costs of healthcare services in the U.S. (and likely some of those inscrutable lines of fees that you might see on bills), not to mention delays in giving care. (And those volumes underscore just what a small piece Infinitus touches today.)
Founder and CEO Ankit Jain — a repeat entrepreneur and ex-Googler who held senior roles in engineering and was a founding partner at Gradient at the search giant — told TechCrunch in an interview that the idea for Infinitus first occurred to him a couple of years ago, when he was still at Gradient.
“We were starting to see a lot of improvements in voice communications technology, turning text into speech and speech into text. I realised that it would soon be possible to automate phone calls where a machine could carry out a full conversation with someone.”
Indeed, around that time, Google itself had launched Duplex, a service built around the same principle, but aimed at consumers, for people to book appointments, restaurant tables and other services.
He determined that just being able to talk like a human and understand natural language wasn’t the only issue, and not even the main one, in enterprises applications like healthcare environments, which rely on specific jargon and particular scenarios that are probably less rather than more like actual human interactions.
“I thought, if someone wanted to build this for healthcare it would change it,” he said. And so he decided to do just that.
Jain said that Infinitus is using public cloud speech to text systems but the natural language processing and flows to triage and use of the information gained from the conversations are built in house. The specialization of the content and interactions potentially is also one reason why Infinitus might not worry so soon about cannibalization from bigger RPA players, at least for now.
The fact that services like these — the new generation of robocalls, as it were — can sound “lifelike”, like actual humans, has been something that consumer versions have aspired to, although that hasn’t always worked out for the best. Duplex, for example, in its early days came under criticism for how its excellent quality might actually be deceptive, because it wasn’t clear to users they were speaking to a machine logging their responses in a data harnessing exercise. Jain notes that Infinitus is actually intentionally choosing voices that sound like bots to help make that clear to those taking the calls.
He said that this also “helps reduce the level of chatter” on the conversation and keeps the person speaking focused on business.
On that front, it seems that while Infinitus works like other voice RPA services, connected up with live, human agents who can take over calls if they get tricky, that hasn’t really needed to be used.
“Today we don’t need to triage with humans because we see high enough success rates with our system,” he said.
You might wonder, why hasn’t the healthcare industry just moved past voice altogether? Surely there are ways of exchanging data between entities so that calls could become obsolete? Turns out that at least for now that isn’t something that will change quickly, Jain said.
Part of it is because the fragmentation in the market means it’s hard to implement new standards across the board, covering hundreds of insurance payers, healthcare providers, pharmaceutical groups, billing and collections organisations and more. And when it comes down to it, a phone call ends up being the easiest route for many admins who might have to typically deal with 100 different payment companies and other entities, each with a different logging mechanism. “It’s a lot of cognitive load, so it’s often easier to just pick up the phone,” Jain said.
Bringing in voiceRPA like Infinitus’s is part of that long haul to update the bigger system.
“By automating one side we are showing the other side that it can be done,” Jain said. “Right now, there are just too many players and getting them to agree on one standard is a gargantuan task, so trying to win one small piece after another is how it’s done. It should not be voice, but by the time standards bodies agree on something else, the world has moved on.”
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Materialize, the SQL streaming database startup built on top of the open-source Timely Dataflow project, announced a $32 million Series B investment led by Kleiner Perkins, with participation from Lightspeed Ventures.
While it was at it, the company also announced a previously unannounced $8 million Series A from last year, led by Lightspeed, bringing the total raised to $40 million.
These firms see a solid founding team that includes CEO Arjun Narayan, formerly of Cockroach Labs, and chief scientist Frank McSherry, who created the Timely Dataflow project on which the company is based.
Narayan says that the company believes fundamentally that every company needs to be a real-time company, and it will take a streaming database to make that happen. Further, he says the company is built using SQL because of its ubiquity, and the founders wanted to make sure that customers could access and make use of that data quickly without learning a new query language.
“Our goal is really to help any business to understand streaming data and build intelligent applications without using or needing any specialized skills. Fundamentally what that means is that you’re going to have to go to businesses using the technologies and tools that they understand, which is standard SQL,” Narayan explained.
Bucky Moore, the partner at Kleiner Perkins leading the B round, sees this standard querying ability as a key part of the technology. “As more businesses integrate streaming data into their decision-making pipelines, the inability to ask questions of this data with ease is becoming a non-starter. Materialize’s unique ability to provide SQL over streaming data solves this problem, laying the foundation for them to build the industry’s next great data platform,” he said.
They would naturally get compared to Confluent, a streaming database built on top of the Apache Kafka open-source streaming database project, but Narayan says his company uses straight SQL for querying, while Confluent uses its own flavor.
The company still is working out the commercial side of the house and currently provides a typical service offering for paying customers with support and a service agreement (SLA). The startup is working on a SaaS version of the product, which it expects to release some time next year.
They currently have 20 employees with plans to double that number by the end of next year as they continue to build out the product. As they grow, Narayan says the company is definitely thinking about how to build a diverse organization.
He says he’s found that hiring in general has been challenging during the pandemic, and he hopes that changes in 2021, but he says that he and his co-founders are looking at the top of the hiring funnel because otherwise, as he points out, it’s easy to get complacent and rely on the same network of people you have been working with before, which tends to be less diverse.
“The KPIs and the metrics we really want to use to ensure that we really are putting in the extra effort to ensure a diverse sourcing in your hiring pipeline and then following that through all the way through the funnel. That’s I think the most important way to ensure that you have a diverse [employee base], and I think this is true for every company,” he said.
While he is working remotely now, he sees having multiple offices with a headquarters in NYC when the pandemic finally ends. Some employees will continue to work remotely, with the majority coming into one of the offices.
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We need to go hands-off in the age of coronavirus. That means touching fewer doors, elevators, and sign-in iPads. But once a building is using phone-based identity for security, there’s opportunities to speed up access to WIFI networks and printers, or personalize conference rooms and video call set-ups. Keyless office entry startup Proxy wants to deliver all of this while keeping your phone in your pocket.
“The door is just a starting point” Proxy co-founder and CEO Denis Mars tells me. “We’re . . . empowering a movement to take back control of our privacy, our sense of self, our humanity, our individuality.”

With the contagion concerns and security risks of people rubbing dirty, cloneable, stealable key cards against their office doors, investors see big potential in Proxy. Today it’s announcing here a $42 million Series B led by Scale Venture Partners with participation from former funders Kleiner Perkins and Y Combinator plus new additions Silicon Valley Bank and West Ventures.
The raise brings Proxy to $58.8 million in funding so it can staff up at offices across the world and speed up deployments of its door sensor hardware and access control software. “We’re spread thin” says Mars. “Part of this funding is to try to grow up as quickly as possible and not grow for growth sake. We’re making sure we’re secure, meeting all the privacy requirements.”
How does Proxy work? Employers get their staff to install an app that knows their identity within the company, including when and where they’re allowed entry. Buildings install Proxy’s signal readers, which can either integrate with existing access control software or the startup’s own management dashboard.
Employees can then open doors, elevators, turnstiles, and garages with a Bluetooth low-energy signal without having to even take their phone out. Bosses can also opt to require a facial scan or fingerprint or a wave of the phone near the sensor. Existing keycards and fobs still work with Proxy’s Pro readers. Proxy costs about $300 to $350 per reader, plus installation and a $30 per month per reader subscription to its management software.

Now the company is expanding access to devices once you’re already in the building thanks to its SDK and APIs. Wifi router-makers are starting to pre-provision their hardware to automatically connect the phones of employees or temporarily allow registered guests with Proxy installed — no need for passwords written on whiteboards. Its new Nano sensors can also be hooked up to printers and vending machines to verify access or charge expense accounts. And food delivery companies can add the Proxy SDK so couriers can be granted the momentary ability to open doors when they arrive with lunch.
Rather than just indiscriminately beaming your identity out into the world, Proxy uses tokenized credentials so only its sensors know who you are. Users have to approve of new networks’ ability to read their tokens, Proxy has SOC-2 security audit certification, and complies with GDPR. “We feel very strongly about where the biometrics are stored . . . they should stay on your phone” says Mars.
Yet despite integrating with the technology for two-factor entry unlocks, Mars says “We’re not big fans of facial recognition. You don’t want every random company having your face in their database. The face becomes the password you were supposed to change every 30 days.”

Keeping your data and identity safe as we see an explosion of Internet Of Things devices was actually the impetus for starting Proxy. Mars had sold his teleconferencing startup Bitplay to Jive Software where he met his eventually co-founder Simon Ratner, who’d joined after his video annotation startup Omnisio was acquired by YouTube. Mars was frustrated about every IoT lightbulb and appliance wanting him to download an app, set up a profile, and give it his data.
The duo founded Proxy in 2016 as a universal identity signal. Today it has over 60 customers. While other apps want you to constantly open them, Proxy’s purpose is to work silently in the background and make people more productive. “We believe the most important technologies in the world don’t seek your attention. They work for you, they empower you, and they get out of the way so you can focus your attention on what matters most — living your life.”
Now Proxy could actually help save lives. “The nature of our product is contactless interactions in commercial buildings and workplaces so there’s a bit of an unintended benefit that helps prevent the spread of the virus” Mars explains. “We have seen an uptick in customers starting to set doors and other experiences in longer-range hands-free mode so that users can walk up to an automated door and not have to touch the handles or badge/reader every time.”

The big challenge facing Proxy is maintaining security and dependability since it’s a mission-critical business. A bug or outage could potentially lock employees out of their workplace (when they eventually return from quarantine). It will have to keep hackers out of employee files. Proxy needs to stay ahead of access control incumbents like ADT and HID as well as smaller direct competitors like $10 million-funded Nexkey and $28 million-funded Openpath.
Luckily, Proxy has found a powerful growth flywheel. First an office in a big building gets set up, then they convince the real estate manager to equip the lobby’s turnstiles and elevators with Proxy. Other tenants in the building start to use it, so they buy Proxy for their office. Then they get their offices in other cities on board…starting the flywheel again. That’s why Proxy is doubling down on sales to commercial real estate owners.
The question is when Proxy will start knocking on consumers’ doors. While leveling up into the enterprise access control software business might be tough for home smartlock companies like August, Proxy could go down market if it built more physical lock hardware. Perhaps we’ll start to get smart homes that know who’s home, and stop having to carry pointy metal sticks in our pockets.
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