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Microsoft’s huge purchase of health tech AI company Nuance led the technology news cycle this week. The $19.7 billion transaction is Microsoft’s second-largest to date, only beaten by its purchase of LinkedIn some years ago.
For the AI space, the sale is a coup. Nuance was already a public company, but to see Microsoft offer a firm premium over its public-market value demonstrates the value that AI technology can have to wealthy companies. For startups working in the AI space, the Nuance deal is good news; the value of AI revenue was repriced by the acquisition’s announcement — and for the better.
In light of the megadeal, The Exchange dug into the AI venture capital market. What’s happening on the startup side of the coin in the artificial intelligence and machine learning (AI/ML) space?
The Exchange explores startups, markets and money. Read it every morning on Extra Crunch, or get The Exchange newsletter every Saturday.
To get a handle on the situation, we’ve compiled Q1 2021 and historical venture capital investment data via PitchBook, spoken to an active venture capitalist with a focus on AI-powered startups, and heard from a couple of startups recently featured on CB Insights’ list of leading AI upstarts for their take on the recent news.
The picture that emerges is one of strong investor interest and the expectation of even more in the wake of the Microsoft-Nuance tie-up. For AI startups, it’s a great time to be in the market.
This morning, we’ll start with a look into recent venture capital activity in the AI/ML market and its historical context. Then we’ll talk to Zetta Ventures’ Jocelyn Goldfein and a few companies in the AI space. Let’s go!
According to historical data compiled by PitchBook, venture capital investment into U.S.-based, AI-focused startups is enjoying a strong start to the year. Per the group’s provided dataset, from the start of 2021 through April 12, or the first 101 days of the year, 442 deals in the space were worth $11.65 billion.
In 2020, the same query for U.S.-based startups working in the AI and ML space — the line between ML and AI is blurrier than ever — turned up 1,601 rounds worth $27.49 billion.
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Hello and welcome back to Equity, TechCrunch’s venture capital-focused podcast, where we unpack the numbers behind the headlines.
This week’s episode was a testament to making do, as we’ve had to cancel some trips, juggle a few guests, and get up and running as a podcast that have guests dial in without losing our stride. So, this week Danny and Natasha and Alex were joined by Unshackled VC’s Manan Mehta.
And it went pretty ok, aside from a hiccup or two, expect Equity to still feature guests as often as it makes sense, even if we’re currently locked out of our own studio. Anyhoo, a combo of local recording, remote video setups, and Chris handling the dials meant that we were able to talk over all the good stuff:
All told there were some laughs, and we spent a good few minutes before mentioning COVID-19. It was good fun to have the crew on for a classic Equity episode, and a big thanks to Manan for coming aboard under less-than-optimal circumstances.
Equity drops every Monday at 7:00 AM PT and Friday at 6:00 am PT, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts.
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Deepgram, a YC backed startup using machine learning to analyze audio data for businesses, is open sourcing an internal deep learning tool called Kur. The release should further help those interested in the space get their ideas off the ground more easily. The startup is also including 10 hours of transcribed audio, spliced into 10 second increments, to expedite the training process. Similar… Read More
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Supersonic planes, food harvesting robots and instant HIV diagnosis were some of the ideas that wowed us on Demo Day 2 for Y Combinator’s Winter 2016 batch. We queried investors and TechCrunch’s writers to come up with our top 8 picks from all 59 startups that presented. Check out our coverage of the 60 YC startups from Tuesday, plus our 7 favorites. Additional reporting by Megan… Read More
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