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Extra Crunch roundup: Digital health VC survey, edtech M&A, deep tech marketing, more

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I had my first telehealth consultation last year, and there’s a high probability that you did, too. Since the pandemic began, consumer adoption of remote healthcare has increased 300%.

Speaking as an unvaccinated urban dweller: I’d rather speak to a nurse or doctor via my laptop than try to remain physically distanced on a bus or hailed ride traveling to/from their office.

Even after things return to (rolls eyes) normal, if I thought there was a reliable way to receive high-quality healthcare in my living room, I’d choose it.

Clearly, I’m not alone: a May 2020 McKinsey study pegged yearly domestic telehealth revenue at $3 billion before the coronavirus, but estimated that “up to $250 billion of current U.S. healthcare spend could potentially be virtualized” after the pandemic abates.

That’s a staggering number, but in a category that includes startups focused on sexual health, women’s health, pediatrics, mental health, data management and testing, it’s clear to see why digital-health funding topped more than $10 billion in the first three quarters of 2020.

Drawing from The TechCrunch List, reporter Sarah Buhr interviewed eight active health tech VCs to learn more about the companies and industry verticals that have captured their interest in 2021:

  • Bryan Roberts and Bob Kocher, partners, Venrock
  • Nan Li, managing director, Obvious Ventures
  • Elizabeth Yin, general partner, Hustle Fund
  • Christina Farr, principal investor and health tech lead, OMERS Ventures
  • Ursheet Parikh, partner, Mayfield Ventures
  • Nnamdi Okike, co-founder and managing partner, 645 Ventures
  • Emily Melton, founder and managing partner, Threshold Ventures

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Since COVID-19 has renewed Washington’s focus on healthcare, many investors said they expect a friendly regulatory environment for telehealth in 2021. Additionally, healthcare providers are looking for ways to reduce costs and lower barriers for patients seeking behavioral support.

“Remote really does work,” said Elizabeth Yin, general partner at Hustle Fund.

We’ll cover digital health in more depth this year through additional surveys, vertical reporting, founder interviews and much more.

Thanks very much for reading Extra Crunch this week; I hope you have a relaxing weekend.

Walter Thompson
Senior Editor, TechCrunch
@yourprotagonist

8 VCs agree: Behavioral support and remote visits make digital health a strong bet for 2021

Woman having a medicine video conferencing with her doctor using digital tablet. Senior woman on a video call with a doctor using her tablet computer at home.

Image Credits: Luis Alvarez (opens in a new window) / Getty Images

Lessons from Top Hat’s acquisition spree

Image Credits: Bryce Durbin

In the last year, edtech startup Top Hat acquired three publishing companies: Fountainhead Press, Bludoor and Nelson HigherEd.

Natasha Mascarenhas interviewed CEO and founder Mike Silagadze to learn more about his content acquisition strategy, but her story also discussed “some rumblings of consolidation and exits in edtech land.”

How VCs invested in Asia and Europe in 2020

Last year, U.S.-based VCs invested an average of $428 million each day in domestic startups, with much of the benefits flowing to fintech companies.

This morning, Alex Wilhelm examined Q4 VC totals for Europe, which had its lowest deal count since Q1 2019, despite a record $14.3 billion in investments.

Asia’s VC industry, which saw $25.2 billion invested across 1,398 deals is seeing “a muted recovery,” says Alex.

“Falling seed volume, lots of big rounds. That’s 2020 VC around the world in a nutshell.”

Decrypted: With more SolarWinds fallout, Biden picks his cybersecurity team

Image Credits: Treedeo (opens in a new window) / Getty Images

In this week’s Decrypted, security reporter Zack Whittaker covered the latest news in the unfolding SolarWinds espionage campaign, now revealed to have impacted the U.S. Bureau of Labor Statistics and Malwarebytes.

In other news, the controversy regarding WhatsApp’s privacy policy change appears to be driving users to encrypted messaging app Signal, Zack reported. Facebook has put changes at WhatsApp on hold “until it could figure out how to explain the change without losing millions of users,” apparently.

Hot IPOs hang onto gains as investors keep betting on tech

A big IPO debut is a juicy topic for a few news cycles, but because there’s always another unicorn ready to break free from its corral and leap into the public markets, it doesn’t leave a lot of time to reflect.

Alex studied companies like Lemonade, Airbnb and Affirm to see how well these IPO pop stars have retained their value. Not only have most held steady, “many have actually run up the score in the ensuing weeks,” he found.

Dear Sophie: What are Biden’s immigration changes?

lone figure at entrance to maze hedge that has an American flag at the center

Image Credits: Bryce Durbin / TechCrunch

Dear Sophie:

I work in HR for a tech firm. I understand that Biden is rolling out a new immigration plan today.

What is your sense as to how the new administration will change business, corporate and startup founder immigration to the U.S.?

—Free in Fremont

Hello, Extra Crunch community!

Hello in Different Languages

Image Credits: atakan (opens in a new window) / Getty Images

I began my career as an avid TechCrunch reader and remained one even when I joined as a writer, when I left to work on other things and now that I’ve returned to focus on better serving our community.

I’ve been chatting with some of the folks in our community and I’d love to talk to you, too. Nothing fancy, just 5-10 minutes of your time to hear more about what you want to see from us and get some feedback on what we’ve been doing so far.

If you would be so kind as to take a minute or two to fill out this form, I’ll drop you a note and hopefully we can have a chat about the future of the Extra Crunch community before we formally roll out some of the ideas we’re cooking up.

Drew Olanoff
@yoda

In 2020, VCs invested $428m into US-based startups every day

Last year was a disaster across the board thanks to a global pandemic, economic uncertainty and widespread social and political upheaval.

But if you were involved in the private markets, however, 2020 had some very clear upside — VCs flowed $156.2 billion into U.S.-based startups, “or around $428 million for each day,” reports Alex Wilhelm.

“The huge sum of money, however, was itself dwarfed by the amount of liquidity that American startups generated, some $290.1 billion.”

Using data sourced from the National Venture Capital Association and PitchBook, Alex used Monday’s column to recap last year’s seed, early-stage and late-stage rounds.

How and when to build marketing teams at deep tech companies

Pole lifting rubber duck with hook in its head

Image Credits: Andy Roberts (opens in a new window) / Getty Images

Building a marketing team is one of the most opaque parts of spinning up a startup, but for a deep tech company, the stakes couldn’t be higher.

How can technical founders working on bleeding-edge technology find the right people to tell their story?

If you work at a post-revenue, early-stage deep tech startup (or know someone who does), this post explains when to hire a team, whether they’ll need prior industry experience, and how to source and evaluate talent.

Bustle CEO Bryan Goldberg explains his plans for taking the company public

Bustle Digital Group CEO Bryan Goldberg

Bustle Digital Group CEO Bryan Goldberg. Image Credits: Bustle Digital Group

Senior Writer Anthony Ha interviewed Bustle Digital Group CEO Bryan Goldberg to get his thoughts on the state of digital media.

Their conversation covered a lot of ground, but the biggest news it contained focuses on Goldberg’s short-term plans.

“Where do I want to see the company in three years? I want to see three things: I want to be public, I want to see us driving a lot of profits and I want it to be a lot bigger, because we’ve consolidated a lot of other publications,” he said.

It may not be as glamorous as D2C, but beauty tech is big money

Directly Above Shot Of Razors On Green Background

Image Credits: Laia Divols Escude/EyeEm (opens in a new window) / Getty Images

The U.S. Federal Trade Commission is not a huge fan of personal-care D2C brands merging with traditional consumer product companies.

This month, razor startup Billie and Proctor & Gamble announced they were calling off their planned merger after the FTC filed suit.

For similar reasons, Edgewell Personal Care dropped its plans last year to buy Harry’s for $1.37 billion.

In a harsher regulatory environment, “the path to profitability has become a more important part of the startup story versus growth at all costs,” it seems.

Twilio CEO says wisdom lies with your developers

SAN FRANCISCO, CA – SEPTEMBER 12: Founder and CEO of Twilio Jeff Lawson speaks onstage during TechCrunch Disrupt SF 2016 at Pier 48 on September 12, 2016 in San Francisco, California. Image Credits: Steve Jennings/Getty Images for TechCrunch

Companies that build their own tools “tend to win the hearts, minds and wallets of their customers,” according to Twilio CEO Jeff Lawson.

In an interview with enterprise reporter Ron Miller for his new book, “Ask Your Developer,” Lawson says founders should use developer teams as a sounding board when making build-versus-buy decisions.

“Lawson’s basic philosophy in the book is that if you can build it, you should,” says Ron.

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Personal skin problems leads founder to launch skincare startup Nøie, raises $12M Series A

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Inspired by his own problems with skin ailments, tech founder Daniel Jensen decided there had to be a better way. So, using an in-house tech platform, his Copenhagen-based startup Nøie developed its own database of skin profiles, to better care for sensitive skin.

Nøie has now raised $12m in a Series A funding round led by Talis Capital, with participation from Inventure, as well as existing investors including Thomas Ryge Mikkelsen, former CMO of Pandora, and Kristian Schrøder Hart-Hansen, former CEO of LEO Pharma’s Innovation Lab.

Nøie’s customized skincare products target sensitive skin conditions including acne, psoriasis and eczema. Using its own R&D, Nøie says it screens thousands of skincare products on the market, selects what it thinks are the best, and uses an algorithm to assign customers to their ‘skin family’. Customers then get recommendations for customized products to suit their skin.

Skin+Me is probably the best-known perceived competitor, but this is a prescription provider. Noie is non-prescription.

Jensen said: “We firmly believe that the biggest competition is the broader skincare industry and the consumer behavior that comes with it. I truly believe that in 2030 we’ll be surprised that we ever went into a store and picked up a one-size-fits-all product to combat our skincare issues, based on what has the nicest packaging or the best marketing. In a sense, any new company that emerges in this space are peers to us: we’re all working together to intrinsically change how people choose skincare products. We’re all demonstrating to people that they can now receive highly-personalized products based on their own skin’s specific needs.”

Of his own problems to find the right skincare provider, he said: “It’s just extremely difficult to find something that works. When you look at technology, online, and all our apps and everything, we got so smart in so many areas, but not when it comes to consumer skin products. I believe that in five or 10 years down the line, you’ll be laughing that we really used to just go in and pick up products just off the shelf, without knowing what we’re supposed to be using. I think everything we will be using in the bathroom will be customized.”

Beatrice Aliprandi, principal at Talis Capital, said: “For too long have both the dermatology sector and the skincare industry relied on the outdated ‘one-size-fits-all’ approach to addressing chronic skin conditions. By instead taking a data-driven and community feedback approach, Nøie is building the next generation of skincare by providing complete personalization for its customers at a massive scale, pioneering the next revolution in skincare.”

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Comms expert and VC Caryn Marooney will detail how to get attention at TC Early Stage

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We’re thrilled to announce Caryn Marooney is speaking at our upcoming TechCrunch Early Stage virtual event in July. She spoke with us last year and we had to have her back.

Just look at her resume. She was the co-founder and CEO of The Outcast Agency, one of Silicon Valley’s best-regarded public relations firms. She left her company to serve as VP of Global Communication at Facebook, which she did for eight years, overseeing communication for Facebook, Instagram, WhatsApp and Oculus. In 2019 she joined Coatue Management as a general partner, where she went on to invest in Startburst, Supabase, Defined Networks and others.

Needless to say, Marooney is one of the Valley’s experts on getting people’s attention — a skill that’s critical when running a startup, nonprofit or school bake sale.

She said it best last year: “People just fundamentally aren’t walking around caring about this new startup — actually, nobody does.” So how do you get people to care? That’s the trick and why we’re having her back to speak on this evergreen topic.

Watch her presentation from 2020 here. It’s fantastic.

One of the great things about TC Early Stage is that the show is designed around breakout sessions, with each speaker leading a chat around a specific startup core competency (like fundraising, designing a brand, mastering the art of PR and more). Moreover, there is plenty of time for audience Q&A in each session.

Pick up your ticket for the event, which goes down July 8 and 9, right here. And if you do it today, you’ll save a cool $100 off of your registration.


 

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Lightmatter’s photonic AI ambitions light up an $80M B round

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AI is fundamental to many products and services today, but its hunger for data and computing cycles is bottomless. Lightmatter plans to leapfrog Moore’s law with its ultra-fast photonic chips specialized for AI work, and with a new $80M round the company is poised to take its light-powered computing to market.

We first covered Lightmatter in 2018, when the founders were fresh out of MIT and had raised $11M to prove that their idea of photonic computing was as valuable as they claimed. They spent the next three years and change building and refining the tech — and running into all the hurdles that hardware startups and technical founders tend to find.

For a full breakdown of what the company’s tech does, read that feature — the essentials haven’t changed.

In a nutshell, Lightmatter’s chips perform certain complex calculations fundamental to machine learning in a flash — literally. Instead of using charge, logic gates, and transistors to record and manipulate data, the chips use photonic circuits that perform the calculations by manipulating the path of light. It’s been possible for years, but until recently getting it to work at scale, and for a practical, indeed a highly valuable purpose has not.

Prototype to product

It wasn’t entirely clear in 2018 when Lightmatter was getting off the ground whether this tech would be something they could sell to replace more traditional compute clusters like the thousands of custom units companies like Google and Amazon use to train their AIs.

“We knew in principle the tech should be great, but there were a lot of details we needed to figure out,” CEO and co-founder Nick Harris told TechCrunch in an interview. “Lots of hard theoretical computer science and chip design challenges we needed to overcome… and COVID was a beast.”

With suppliers out of commission and many in the industry pausing partnerships, delaying projects, and other things, the pandemic put Lightmatter months behind schedule, but they came out the other side stronger. Harris said that the challenges of building a chip company from the ground up were substantial, if not unexpected.

A rack of Lightmatter servers.

Image Credits: Lightmatter

“In general what we’re doing is pretty crazy,” he admitted. “We’re building computers from nothing. We design the chip, the chip package, the card the chip package sits on, the system the cards go in, and the software that runs on it…. we’ve had to build a company that straddles all this expertise.”

That company has grown from its handful of founders to more than 70 employees in Mountain View and Boston, and the growth will continue as it brings its new product to market.

Where a few years ago Lightmatter’s product was more of a well-informed twinkle in the eye, now it has taken a more solid form in the Envise, which they call a ‘general purpose photonic AI accelerator.” It’s a server unit designed to fit into normal datacenter racks but equipped with multiple photonic computing units, which can perform neural network inference processes at mind-boggling speeds. (It’s limited to certain types of calculations, namely linear algebra for now, and not complex logic, but this type of math happens to be a major component of machine learning processes.)

Harris was reticent to provide exact numbers on performance improvements, but more because those improvements are increasing than that they’re not impressive enough. The website suggests it’s 5x faster than an NVIDIA A100 unit on a large transformer model like BERT, while using about 15 percent of the energy. That makes the platform doubly attractive to deep-pocketed AI giants like Google and Amazon, which constantly require both more computing power and who pay through the nose for the energy required to use it. Either better performance or lower energy cost would be great — both together is irresistible.

It’s Lightmatter’s initial plan to test these units with its most likely customers by the end of 2021, refining it and bringing it up to production levels so it can be sold widely. But Harris emphasized this was essentially the Model T of their new approach.

“If we’re right, we just invented the next transistor,” he said, and for the purposes of large-scale computing, the claim is not without merit. You’re not going to have a miniature photonic computer in your hand any time soon, but in datacenters, where as much as 10 percent of the world’s power is predicted to go by 2030, “they really have unlimited appetite.”

The color of math

A Lightmatter chip with its logo on the side.

Image Credits: Lightmatter

There are two main ways by which Lightmatter plans to improve the capabilities of its photonic computers. The first, and most insane sounding, is processing in different colors.

It’s not so wild when you think about how these computers actually work. Transistors, which have been at the heart of computing for decades, use electricity to perform logic operations, opening and closing gates and so on. At a macro scale you can have different frequencies of electricity that can be manipulated like waveforms, but at this smaller scale it doesn’t work like that. You just have one form of currency, electrons, and gates are either open or closed.

In Lightmatter’s devices, however, light passes through waveguides that perform the calculations as it goes, simplifying (in some ways) and speeding up the process. And light, as we all learned in science class, comes in a variety of wavelengths — all of which can be used independently and simultaneously on the same hardware.

The same optical magic that lets a signal sent from a blue laser be processed at the speed of light works for a red or a green laser with minimal modification. And if the light waves don’t interfere with one another, they can travel through the same optical components at the same time without losing any coherence.

That means that if a Lightmatter chip can do, say, a million calculations a second using a red laser source, adding another color doubles that to two million, adding another makes three — with very little in the way of modification needed. The chief obstacle is getting lasers that are up to the task, Harris said. Being able to take roughly the same hardware and near-instantly double, triple, or 20x the performance makes for a nice roadmap.

It also leads to the second challenge the company is working on clearing away, namely interconnect. Any supercomputer is composed of many small individual computers, thousands and thousands of them, working in perfect synchrony. In order for them to do so, they need to communicate constantly to make sure each core knows what other cores are doing, and otherwise coordinate the immensely complex computing problems supercomputing is designed to take on. (Intel talks about this “concurrency” problem building an exa-scale supercomputer here.)

“One of the things we’ve learned along the way is, how do you get these chips to talk to each other when they get to the point where they’re so fast that they’re just sitting there waiting most of the time?” said Harris. The Lightmatter chips are doing work so quickly that they can’t rely on traditional computing cores to coordinate between them.

A photonic problem, it seems, requires a photonic solution: a wafer-scale interconnect board that uses waveguides instead of fiber optics to transfer data between the different cores. Fiber connections aren’t exactly slow, of course, but they aren’t infinitely fast, and the fibers themselves are actually fairly bulky at the scales chips are designed, limiting the number of channels you can have between cores.

“We built the optics, the waveguides, into the chip itself; we can fit 40 waveguides into the space of a single optical fiber,” said Harris. “That means you have way more lanes operating in parallel — it gets you to absurdly high interconnect speeds.” (Chip and server fiends can find that specs here.)

The optical interconnect board is called Passage, and will be part of a future generation of its Envise products — but as with the color calculation, it’s for a future generation. 5-10x performance at a fraction of the power will have to satisfy their potential customers for the present.

Putting that $80M to work

Those customers, initially the “hyper-scale” data handlers that already own datacenters and supercomputers that they’re maxing out, will be getting the first test chips later this year. That’s where the B round is primarily going, Harris said: “We’re funding our early access program.”

That means both building hardware to ship (very expensive per unit before economies of scale kick in, not to mention the present difficulties with suppliers) and building the go-to-market team. Servicing, support, and the immense amount of software that goes along with something like this — there’s a lot of hiring going on.

The round itself was led by Viking Global Investors, with participation from HP Enterprise, Lockheed Martin, SIP Global Partners, and previous investors GV, Matrix Partners and Spark Capital. It brings their total raised to about $113 million; There was the initial $11M A round, then GV hopping on with a $22M A-1, then this $80M.

Although there are other companies pursuing photonic computing and its potential applications in neural networks especially, Harris didn’t seem to feel that they were nipping at Lightmatter’s heels. Few if any seem close to shipping a product, and at any rate this is a market that is in the middle of its hockey stick moment. He pointed to an OpenAI study indicating that the demand for AI-related computing is increasing far faster than existing technology can provide it, except with ever larger datacenters.

The next decade will bring economic and political pressure to rein in that power consumption, just as we’ve seen with the cryptocurrency world, and Lightmatter is poised and ready to provide an efficient, powerful alternative to the usual GPU-based fare.

As Harris suggested hopefully earlier, what his company has made is potentially transformative in the industry and if so there’s no hurry — if there’s a gold rush, they’ve already staked their claim.

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