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Marvell nabs Innovium for $1.1B as it delves deeper into cloud ethernet switches

Marvell announced this morning it has reached an agreement to acquire Innovium for $1.1 billion in an all-stock deal. The startup, which raised over $400 million according to Crunchbase data, makes networking ethernet switches optimized for the cloud.

Marvell president and CEO Matt Murphy sees Innovium as a complementary piece to the $10 billion Inphi acquisition last year, giving the company, which makes copper-based chips, more ways to work across modern cloud data centers.

“Innovium has established itself as a strong cloud data center merchant switch silicon provider with a proven platform, and we look forward to working with their talented team who have a strong track record in the industry for delivering multiple generations of highly successful products,” Marvell CEO Matt Murphy said in a statement.

Innovium founder and CEO Rajiv Khemani, who will remain as an advisor post-close, told a familiar tale from a startup CEO being acquired, seeing the sale as a way to accelerate more quickly as part of a larger organization than it could on its own. “As we engaged with Marvell, it became clear that our data center optimized portfolio combined with Marvell’s scale, leading technology platform and complementary portfolio, can accelerate our growth and vision of delivering breakthrough switch silicon for the cloud and edge,” he wrote in a company blog post announcing the deal.

The company, which was founded in 2014, raised more than $143 million last year on a post-money valuation of $1.3 billion, according to PitchBook data. The question is, was this a reasonable deal for the company given that valuation?

No company wants to sell for less than it was last valued by its investors. In some cases, such deals can still be accretive for early backers of the selling concern, but not always. In this case TechCrunch is not privy to all the details of the Innovium cap table and what its later investors may have built into their deals with the company in the form of downside protection; such measures can tilt the value of the sale of a company more toward its later and final investors. This is usually managed at the expense of its earlier backers and employees.

Still, the Innovium deal should not be seen as a failure. Building a company that sells for north of $1 billion in equity value is impressive. The deal appears to be slightly smaller in enterprise value terms. In the business world, enterprise value is a useful method of valuing the true cost of an acquisition. In the case of Innovium, a large cash position, what was described as “Innovium cash and exercise proceeds expected at closing of approximately $145 million,” lowered the cost of the transaction to a more modest $955 million in net outlays.

Our general perspective is that the sale is probably not the outcome that Innovium’s backers had hoped for, but that it may still prove lucrative to early workers and early investors, and still works at that lower figure. It’s also notable how in today’s market of mega-rounds and surfeit unicorns, an exit north of the $1 billion mark in equity terms can be viewed as a disappointment in any terms. Innovium is selling for around the price that Facebook paid for Instagram in 2012, a deal that at the time was so large that it dominated technology headlines around the world.

But with so much capital available today, private valuations are soaring and mega deals abound. And recent rounds north of $100 million, much like Innovium’s 2020-era, $143 million round, can set companies up with rich valuations and a narrow path in front of them to beat those heightened expectations.

What likely happened? Perhaps Innovium found itself with more cash than opportunities to spend it; perhaps it simply needed a large partner to help it better sell into its market. With expected revenues of $150 million in Marvell’s fiscal 2023, its next fiscal period, Innovium did not fail to reach scale. It may have simply grown well as a private, independent company, and stalled out after its last round.

Regardless, a billion-dollar exit is a billion-dollar exit. The deal is expected to close by the end of this year. While both company boards have approved the deal, it still must clear regular closing hurdles, including approval by Innovium’s private stock holders.

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Revery gets $2M to improve mental health with mobile gaming techniques

In “Macbeth,” Shakespeare described sleep as the “chief nourisher in life’s feast.” But like his titular character, many adults aren’t sleeping well. Revery wants to help with an app that combines cognitive behavioral therapy (CBT) for insomnia with mobile gaming concepts.

Founded in March 2021, Revery is currently in beta stealth mode and plans to launch its app in the United States later this year. The company announced today it has raised $2 million, led by Sequoia Capital India’s Surge program. Participants included GGV Capital, Pascal Capital, zVentures (Razer’s corporate venture arm) and angel investors like MyFitnessPal co-founder Albert Lee; gaming entrepreneur Juha Paananen; CRED founder Kunal Shah; Mobile Premier League founder Sai Srinivas; Carolin Krenzer; and Josh Lee.

Lee, a mutual friend, first introduced Revery’s founders, Tammie Siew and Khoa Tran, to one another. Before launching the startup, Siew worked at Sequoia Capital India, Boston Consulting Group and CRED, while Tran was a former product manager at Google.

Revery plans to focus on other mental health issues in the future, but it’s starting with sleep because “it has such a strong correlation with mental health and we’re leveraging protocols, cognitive behavioral therapy for insomnia, that’s robust and have been tried and tested for 30 years,” Siew told TechCrunch. “That is the first indication, but the goal is to build multiple games for other wellness indications as well.”

A study by research firm Infinium found that about 30% to 45% of adults in the world experience insomnia, a problem exacerbated by the COVID-19 pandemic. Chronic lack of sleep is linked to a host of health issues, including high blood pressure, strokes, depression and lowered immunity.

For Revery’s team, which also includes former Zynga and King lead game designer Kriti Sawa and software engineer Stephanie Wong, their focus on sleep is personal.

A Zoom screenshot of startup Revery's team

Revery’s team on a Zoom call

“Everyone on our team has a deeply personal connection to the mission, because everyone on our team has experienced, or had a family member or friends go through challenges in mental health,” said Siew. “They’ve seen how late intervention creates consequences that could have been avoided if they had gotten help earlier.”

When Tran was 15, he was diagnosed with hypertension and several other health conditions that needed medication. It wasn’t until he was 26 that Tran found out that sleep apnea was at the root of his medical issues. After getting surgery, Tran’s blood pressure became normal and many of his other conditions also improved.

“When I finally got treatment for my sleep disorder, only then did I realize the impact of sleep on mental health,” Tran said. “For me, I was really lucky that a doctor caught my sleep disorder and super lucky to have the time and resources to get treatment. For many people, it’s incredibly inaccessible.”

Revery’s medical advisory team includes the doctor who performed Tran’s surgery, Stanford Sleep Surgery Fellowship director Dr. Stanley Liu; Stanford professor and behavioral sleep medicine expert Dr. Fiona Barwick; and Dr. Ryan Kelly, a clinical psychologist who researches how video games can be used in therapy.

When people think of sleeping apps, ones that focus on meditation (Calm and Headspace, for example) or soothing noises usually come to mind. The Revery team isn’t sharing a lot of details about its app before launch, but says it draws from casual mobile games, which are designed to get people to return for short play sessions over a long period of time. The goal is to use gamification to make CBT practices interactive and fun, so it becomes part of users’ daily routines.

“That’s the same kind of gameplay that Zynga and King have used, which is why Kriti’s experience is super helpful,” said Siew. Casual games revolve around rewarding people for small actions, and for the Revery app, that means positive reinforcement for habits that contribute to better sleep. For example, it will reward people for putting down their phones.

“I think a lot of people have the misconception that solving sleep is only at the time you fall asleep. They don’t realize that sleep is impacted by what you do throughout the day,” Siew said. “A big part is also what are your thoughts, behavior and the other things that you do, so in order to effectively and sustainably improve sleep, we also have to change your thoughts and behaviors outside of the time you’re trying to fall asleep.”

In a statement, GGV Capital managing director Jenny Lee said, “We are excited about the growing mental wellness market, and believe that Revery’s unique mobile game-based approach has the opportunity to create immense impact. We are happy to back such a mission-driven team in this space.”

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You can’t afford to make poor decisions about incentive stock options

One of the big reasons you’re giving 110% of your talent and effort to your private company is because you’re hoping to eventually cash in on all those vested incentive stock options (ISOs) that have been sitting in some account, waiting for the day your company goes public.

There’s nothing wrong with that. Who doesn’t dream of reaping an options windfall and using it to retire early, buy a house, pay off their college loans, travel around the world or become a full-time philanthropist?

Unfortunately, when it comes to figuring out how to cash in their stock awards, most employees are on their own.

Their employers can’t always provide the answers they need — especially when the questions relate to personal finances. Most companies admit they need to be better at explaining how ISOs work in general, but they can’t legally work one-on-one with employees to help them exercise and sell shares the right way.

Most companies admit they need to be better at explaining how ISOs work in general, but they can’t legally work one-on-one with employees to help them exercise and sell shares the right way.

That’s why, when the time is right, many employees actively look for help from a qualified fiduciary financial adviser who can walk these could-be “options millionaires” through various cash-in scenarios.

Here’s a real-life example (using a pseudonym).

Kurt is a 50-year-old VP of product management at a healthcare startup that just went public. Over his three years with the company, Kurt had amassed 350,000 ISOs worth approximately $6 million. Unlike many options millionaires, he didn’t intend to cash in everything and retire early. He planned to stay with the firm but wanted to liquidate enough ISOs to pay for a vacation home and add greater diversification to his investment portfolio. This presented significant tax risks that Kurt wasn’t aware of.

If Kurt exercised his ISOs and sold the shares before a year had passed, his profits would be characterized as short-term capital gains, which are taxed as ordinary income.

To illustrate the potential tax implications of this action, we created a hypothetical scenario that showed if Kurt exercised all of his ISOs and sold the shares immediately, he would incur approximately $6 million in ordinary income, which would push him into the top tax bracket and put him on the hook for almost $3 million in combined federal and state taxes.

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Novakid’s investors bet $35M that it can teach kids English

If you’re trying to develop fluency in a non-native tongue, language immersion is a crucial part of the learning process. Surrounding yourself with native speakers helps with pronunciation, context building, and most of all, confidence.

But what if you’re an eight-year-old kid in Spain learning English and can’t swing a solo trip to the United States for the summer?

Novakid, founded by Maxim Azarov, wants to be your next best option. The San Francisco-based edtech startup offers virtual-only, English language immersion for kids between the ages of four through 12, by combining a mix of different services from live tutors to gamification.

After closing its $4.25 million Series A round last December, Novakid announced today that it is back with a $35 million Series B financing, led by Owl Ventures and Goodwater Capital. Existing investors also participated in the round, including PortfoLion, LearnStart, TMT Investments, Xploration Capital, LETA Capital and BonAngels.

The startup is raising capital in response to an active start to its year. The company’s active client base grew 350% year over year, currently at over 50,000 paying students. The money will be used to get more students into its universe of tools, as well as help Novakid expand into international markets with high populations of speakers who want to learn English.

The company’s suite of services are built around two principles: First, that it can immerse early-age learners into the world of English at scale, and second, that it can actually be fun to use.

When a user signs up, they are first connected to one of Novakid’s 2,000 live tutors for their first class. Tutors must be native English speakers with a B.A. degree or higher, as well as an international teaching certificate such as DELTA, CELTA, TESOL or TEFL.

“One of the things that is really important, even psychologically, is to start listening to the language, start interacting with a live person, and remove being afraid of not understanding something,” Azarov said. The company wants to recreate the conditions of how a kid likely learned their first language.

In the class, the tutors only speak English, and users are encouraged to do the same to slowly build and mistake their way into confidence. While the live, video-based classes are a key part of Novakid’s product, Azarov said it was important that his company “was not just giving you access to a teacher” as its main value proposition.

“Most of the competitors are taking teachers and making them available remotely so you don’t have to travel and you have a bigger selection,” he said. But if you look at the industry in the bigger picture, guys like Oxford, Cambridge, Pearson who provide content for the language learning industry, their product basically sucks. It’s really bad.” So, Novakid puts most of its energy into rebuilding a curriculum that works with better design, and includes games.

Gamified content lives both in and out of classes. Within the classroom, a teacher may take a student on a VR-enhanced tour through famous landmarks and museums to practice vocabulary. Self-paced content could look like a multiplayer “battle” between two students answering questions within a certain time period to get a better score. Novakid has an entire team dedicated to game design and development.

Students are clicking in. Novakid users spend two-thirds of their time on the website with tutors, and one-third with self-paced content that the company built in-house. The company wants to switch those concentrations because more students are spending time with the asynchronous content around grammar and vocabulary, and teachers are reserved for more complex information like speaking and conversation.

Part of the difficulty of scaling up a language learning business is that users need to stay motivated. Gamification helps with engagement, but Novakid’s clientele of children could also be fast to churn compared to adult learners, simply due to priorities. Azarov said that he sees how some would view selling exclusively to children as a disadvantage, but he views their focus as differentiation.

“You get better brand equity when you’re more focused,” he said. “The way kids learn language is vastly different from the way adults learn language, and I don’t think the general players who do ‘everything from everybody’ will be able to do [the former] as well as we are.” Duolingo recently launched Duolingo ABC, a free English literacy app with hundreds of short-form exercises. While the now-public company has strong branding, Novakid’s strategy differs by adding in more services around live learning and speaking.

So far, the company has proven that its strategy is sticking. Its revenue in 2020 was $9 million, and in 2021 it is expected to hit between $36 million to $45 million in revenue. It declined to disclose the specifics around diversity of the team, but plans to kick off a quite intensive recruiting spree going forward. Azarov plans to add 200 people to his 300-person company in the next six months.

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Demand Curve: Questions you need to answer in your paid search ads

Around 15% of website traffic comes through paid search ads. But to turn passive searchers into active shoppers, your ads should answer their question and entice them to click.

We’ve tested thousands of paid search ads at Demand Curve and through our agency Bell Curve. This post breaks down 14 questions your paid search ads should answer to ensure you’re only paying for the highest-intent shoppers.

Question 1: “What’s in it for me?”

An important distinction between paid search and organic search is that paid ads are an interruption. Users of search engines are simply looking for an answer to their question. The people who see your ads don’t owe you anything. Just because you’re paying to have your ad show up first doesn’t mean they’re going to pay attention to it.

To generate genuine interest in your paid ads, reframe your offer as a favor.

You can do this in two ways:

  • Describe the features of your product as the solution to your customers’ problem.
  • Emphasize the outcome your customer seeks.

For example, reframing free delivery as an extra convenience makes the offer that much more attractive.

Use ad extensions by listing additional benefits in the description of the page. For example, including “customized plans” in the pricing extension page signals to your customer that they’ll have control over the cost. This will help to attract the curiosity of even the most cost-conscious buyers.

To capture genuine interest in your paid ads, re-frame your offer as a favor.

Image Credits: Demand Curve

Question 2: “Why should I buy now?”

Approximately 80% of e-commerce shopping carts are abandoned, mostly because shoppers don’t feel any urgency to complete the transaction. Online shoppers aren’t in any rush, as the internet is open 24/7 and inventory feels unlimited.

Use ad copy that bridges the gap between their problem and your solution. The easiest way to create that curiosity bridge is by asking a question.

To answer the question, “Why should I buy now?”, you’re going to have to create an incentive to get them to take action now.

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Planted raises another $21M to expand its growing plant-based meat empire (and add schnitzel)

Swiss alternative protein company Planted has raised its second round of the year, a CHF 19 million (about $21 million at present) “pre-B” fundraise that will help it continue its growth and debut new products. A U.S. launch is in the cards eventually, but for now Planted’s exclusively European customers will be able to give its new veggie schnitzel a shot.

Planted appeared in 2019 as a spinoff from Swiss research university ETH Zurich, where the founders developed the original technique of extruding plant proteins and water into fibrous structures similar to real meat’s. Since then the company has diversified its protein sources, adding oat and sunflower to the mix, and developed pulled pork and kebab alternative products as well.

Over time the process has improved as well. “We added fermentation/biotech technologies to enhance taste and texture,” wrote CEO and co-founder Christoph Jenny in an email to TechCrunch. “Meaning 1) we can create structures without form limitation and 2) can add a broader taste profile.”

The latest advance is schnitzel, which is of course a breaded and fried piece of pounded-thin meat style popular around the world, but especially in the company’s core markets of Germany, Austria and Switzerland. Jenny noted that Planted’s schnitzel is produced as one piece, not pressed together from smaller bits. “The taste and texture benefit from fermentation approach, that makes the flavor profile mouth watering and the texture super juicy,” he said, though of course we will have to test it to be sure. Expect schnitzel to debut in Q3.

It’s the first of several planned “whole” or “prime” cuts, larger pieces that can be prepared like any other piece of meat — the team says their products require no special preparation or additives and can be dropped in as 1:1 replacements in most recipes. Right now the big cuts are leaving the lab and entering consumer testing for taste tuning and eventually scaling.

The funding round came from “Vorwerk Ventures, Gullspång Re:food, Movendo Capital, Good Seed Ventures, Joyance, ACE & Company (SFG strategy) and Be8 Ventures,” and was described as a follow-on to March’s CHF 17M series A. No doubt the exploding demand for alternative proteins and growing competition in the space has spurred Planted’s investors to opt for more aggressive growth and development strategies.

The company plans to enter several new markets over Q3 and Q4, but the U.S. is still a question mark due to COVID-19 restrictions on travel. Jenny said they are preparing so that they can make that move whenever it becomes possible, but for now Planted is focused on the European market.

(Update: This article originally misstated the new round as also being CHF 17M — entirely my mistake. This has been corrected.)

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MGA Thermal raises $8M AUD led by Main Sequence for its modular energy storage blocks

A photo of MGA Thermal co-founders Erich Kisi and Alex Post

MGA Thermal co-founders Erich Kisi and Alex Post. Image Credits: MGA Thermal

MGA Thermal wants to help utility companies transition from fossil fuels to renewable energy sources with shoebox-sized thermal energy storage blocks. The company says a stack of 1,000 blocks is about the size of a small car and can store enough energy to power 27 homes for 24 hours. This gives utility providers the ability to store large amounts of energy and have it ready to dispatch even when weather conditions aren’t ideal for generating solar or wind power. The modular blocks also make it easier to convert infrastructure, like coal-fired power plants, into grid-scale energy storage.

MGA Thermal announced today it has raised $8 million AUD (about $5.9 million USD), bring its total funding so far to $9 million AUD. The round was led by Main Sequence, a venture firm founded by Australia’s national science agency that recently launched a new $250 million AUD fund. Alberts Impact Capital, New Zealand’s Climate Venture Capital Fund, The Melt and returning investor CP Ventures participated, along with angel investors like Chris Sang, Emlyn Scott and Glenn Butcher.

Based in Newcastle, Australia, MGA Thermal was founded in April 2019 by Erich Kisi and Alexander Post after nearly a decade spent researching and developing miscibility gap alloys technology at the University of Newcastle. When asked to explain MGA tech in layperson’s terms, Kisi used a delicious analogy.

MGA Thermal’s blocks “essentially comprise metal particles that melt when heated embedded in an inert matrix material. Think of a block as being like a choc-chip muffin heated in a microwave. The muffin consists of a cake component, which holds everything in shape when heated, and the choc chips, which melt,” he told TechCrunch.

“The energy that goes into melting the choc chips is stored and can burn your mouth when you bite into the muffin,” he added. “Melting energy is more intense than merely heating something up and that melting energy is concentrated near the melting temperature so energy can be released in a consistent way.”

MGA Thermal's modular energy storage blocks

MGA Thermal’s modular energy storage blocks. Image Credits: MGA Thermal

Energy stored in MGA Thermal’s blocks can be used to heat water to power steam turbines and generators. In this scenario, blocks are designed with internal tubing for pumping and boiling water, or interact with a heat exchanger. Kisi said MGA Thermal’s blocks enable aging thermal power plans to continue running on renewable energy that would usually be switched off in situations like overheating caused by too much sun or high winds.

Other thermal energy solutions include heating low-cost solid materials in blocks or granules to high temperatures in an insulated container. But many of these materials aren’t good at moving thermal energy around and have temperature limitations, Kisi said. This means thermal energy decreases in temperature as it is discharged, making it less effective.

Another method for storing thermal energy involves molten salts that are heated by a renewable energy source and stored in a hot tank. The hot salt is then pumped through a heat exchanger to make steam, while colder (but still molten) salt is returned to a “cold” tank.

“These systems are widely used in concentrating solar thermal energy but have found little use elsewhere,” Kisi said. “That’s mostly because there is a large infrastructure cost for piping pumps and heaters, and a large amount of power is wasted keeping the salt from freezing.”

MGA Thermal is establishing a manufacturing plant in New South Wales to scale to commercial levels production of its blocks, and plans to double its team over the next 12 months so it can make hundreds of thousands of blocks each month. It is also currently working with partners like Swiss company E2S Power ASG and U.S.-based Peregrine Turbine Technologies to deploy its tech in Australia, Europe and North America. For example, E2S Power AG will use MGA Thermal’s tech to repurpose retired and active coal-fired thermal plants in Europe.

While MGA Thermal’s tech has many industrial use cases, like converting power stations, building off-grid storage and supplying power to remote communities and commercial spaces, it can also help consumers consume less fossil fuel. For example, MGA blocks can be used by households to store excess energy generated from rooftop solar panels or small wind turbines. Then that energy can be used to heat homes.

“Around the world an estimated three billion people heat their homes by burning fuel,” said Kisi. “That’s a lot of CO2, especially in very cold climates.”

In a statement, Main Sequence partner Martin Duursma said, “A core focus of our new fund is uncovering the scientific discoveries, and helping to turn them into real, tangible technologies so we can reverse our climate impact. Erich Kisi and Alexander Post’s impressive deep research backgrounds, their expert team and innovative technology are paving the way for grid-scale energy storage and boosting the capability of a renewable energy future globally.”

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Can your startup support a research-based workflow?

The President’s Council of Advisors on Science and Technology predicts that U.S. companies will spend upward of $100 billion on AI R&D per year by 2025. Much of this spending today is done by six tech companies — Microsoft, Google, Amazon, IBM, Facebook and Apple, according to a recent study from CSET at Georgetown University. But what if you’re a startup whose product relies on AI at its core?

Can early-stage companies support a research-based workflow? At a startup or scaleup, the focus is often more on concrete product development than research. For obvious reasons, companies want to make things that matter to their customers, investors and stakeholders. Ideally, there’s a way to do both.

Before investing in staffing an AI research lab, consider this advice to determine whether you’re ready to get started.

Compile the right research team

Assuming it’s your organization’s priority to do innovative AI research, the first step is to hire one or two researchers. At Unbabel, we did this early by hiring Ph.D.s and getting started quickly with research for a product that hadn’t been developed yet. Some researchers will build from scratch and others will take your data and try to find a pre-existing model that fits your needs.

While Google’s X division may have the capital to focus on moonshots, most startups can only invest in innovation that provides them a competitive advantage or improves their product.

From there, you’ll need to hire research engineers or machine learning operations professionals. Research is only a small part of using AI in production. Research engineers will then release your research into production, monitor your model’s results and refine the model if it stops predicting well (or otherwise is not operating as planned). Often they’ll use automation to simplify monitoring and deployment procedures as opposed to doing everything manually.

None of this falls within the scope of a research scientist — they’re most used to working with the data sets and models in training. That said, researchers and engineers will need to work together in a continuous feedback loop to refine and retrain models based on actual performance in inference.

Choose the problems you want to solve

The CSET research cited above shows that 85% of AI labs in North America and Europe do some form of basic AI research, and less than 15% focus on development. The rest of the world is different: A majority of labs in other countries, such as India and Israel, focus on development.

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Google is building its own chip for the Pixel 6

Google just dumped a whole bunch of news about its upcoming Pixel 6 smartphone. Maybe the company was looking to get out in front of August 11’s big Samsung event — or perhaps it’s just hoping to keep people interested in the months leading up to a big fall announcement (and beat additional leaks to the punch).

In either case, we got the first look at the upcoming Android smartphone, including a fairly massive redesign of the camera system on the rear. The company has traded its square configuration for a big, black bar that appears to indicate an even larger push into upgraded hardware after a couple of generations spent insisting that software/AI are the grounds on which it has chosen to fight.

More interesting, however, is the arrival of Tensor, a new custom SoC (system on a chip) that will debut on the Pixel 6 and Pixel 6 Pro. It’s an important step from the company, as it looks to differentiate itself in a crowded smartphone field — something the company has admittedly struggled with in the past.

That means moving away from Qualcomm chips on these higher-end systems, following in Apple’s path of creating custom silicon. That said, the chips will be based on the same ARM architecture that Qualcomm uses to create its otherwise ubiquitous Snapdragon chips, and Google will still rely on the San Diego company to supply components for its budget-minded A Series.

Image Credits: Google

The Tensor name is a clear homage to Google’s TensorFlow ML, which has driven a number of its projects. And unsurprisingly, the company sites AI/ML as foundational to the chip’s place in the forthcoming phones. The Pixel team has long pushed software-based solutions, such as computational photography, as a differentiator.

“The team that designed our silicon wanted to make Pixel even more capable. For example, with Tensor we thought about every piece of the chip and customized it to run Google’s computational photography models,” Google writes. “For users, this means entirely new features, plus improvements to existing ones.”

Beyond the upgraded camera system, Tensor will be central to improving things such as speech recognition and language learning. Details are understandably still thin (the full reveal is happening in the fall, mind), but today’s announcement seems geared toward laying out what the future looks like for a revamped Pixel team — and certainly these sorts of focuses play into precisely what Google ought to be doing in the smartphone space: focusing on its smarts in AI and software.

In May of last year, key members of the Pixel team left Google, pointing to what looked to be a transition for the team. Hardware head Rick Osterloh was reported to have had harsh words at the time.

“AI is the future of our innovation work, but the problem is we’ve run into computing limitations that prevented us from fully pursuing our mission,” Osterloh wrote in today’s post. “So we set about building a technology platform built for mobile that enabled us to bring our most innovative AI and machine learning (ML) to our Pixel users.”

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Salesforce steps into RPA buying Servicetrace and teaming it with Mulesoft

Over the last couple of years, robotic process automation or RPA has been red hot with tons of investor activity and M&A from companies like SAP, IBM and ServiceNow. UIPath had a major IPO in April and has a market cap over $30 billion. I wondered when Salesforce would get involved and today the company dipped its toe into the RPA pool, announcing its intent to buy German RPA company Servicetrace.

Salesforce intends to make Servicetrace part of Mulesoft, the company it bought in 2018 for $6.5 billion. The companies aren’t divulging the purchase price, suggesting it’s a much smaller deal. When Servicetrace is in the fold, it should fit in well with Mulesoft’s API integration, helping to add an automation layer to Mulesoft’s tool kit.

“With the addition of Servicetrace, MuleSoft will be able to deliver a leading unified integration, API management and RPA platform, which will further enrich the Salesforce Customer 360 — empowering organizations to deliver connected experiences from anywhere. The new RPA capabilities will enhance Salesforce’s Einstein Automate solution, enabling end-to-end workflow automation across any system for service, sales, industries, and more,” Mulesoft CEO Brent Hayward wrote in a blog post announcing the deal.

While Einstein, Salesforce’s artificial intelligence layer, gives companies with more modern tooling the ability to automate certain tasks, RPA is suited to more legacy operations, and this acquisition could be another step in helping Salesforce bridge the gap between older on-prem tools and more modern cloud software.

Brent Leary, founder and principal analyst at CRM Essentials says that it brings another dimension to Salesforce’s digital transformation tools. “It didn’t take Salesforce long to move to the next acquisition after closing their biggest purchase with Slack. But automation of processes and workflows fueled by real-time data coming from a growing variety of sources is becoming a key to finding success with digital transformation. And this adds a critical piece to that puzzle for Salesforce/MuleSoft,” he said.

While it feels like Salesforce is joining the market late, in an investor survey we published in May, Laela Sturdy, general partner at CapitalG, told us that we are just skimming the surface so far when it comes to RPA’s potential.

“We’re a long way from needing to think about the space maturing. In fact, RPA adoption is still in its early infancy when you consider its immense potential. Most companies are only now just beginning to explore the numerous use cases that exist across industries. The more enterprises dip their toes into RPA, the more use cases they envision,” Sturdy responded in the survey.

Servicetrace was founded in 2004, long before the notion of RPA even existed. Neither Crunchbase nor PitchBook shows any money raised, but the website suggests a mature company with a rich product set. Customers include Fujitsu, Siemens, Merck and Deutsche Telekom.

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