Equity

Anthropic leaped to a $47 billion revenue run rate by May, compared to $9 billion in 2025. It’s the kind of growth that Menlo Ventures' Matt Murphy says he's never seen in 25 years of investing, not in the internet wave, not in mobile, not in the first cloud boom. Menlo led Anthropic's $500M Series D, and Murphy has had a front-row seat as the company went from a pre-revenue, pre-launch bet to one of the most valuable startups out there.



On this episode of TechCrunch's Equity podcast, Julie Bort talks with Murphy about backing Anthropic before anyone else would, why a great model was never the point, and what's driving the fastest-growing startups he's ever seen.



Listen to the full episode to hear more about:

Why Menlo bet on Anthropic at a $4 billion pre-revenue valuation when the deal didn't fit cleanly into any of the firm's funds, and why Google and Amazon signing on as investors was an early “green shoot.”

Why Murphy says the model was never the real moat, and how Claude Code, MCP, and Claude Skills turned Anthropic from a strong model into a full platform.

Murphy's take on the backlash to Anthropic's Mythos rollout, and why he pushes back on the idea that it was more marketing than safety.

Why companies like Lovable and Legora are growing faster than any startups Murphy has seen in 25 years, and what that speed means for founders trying to compete.

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Apple filed a trade secrets lawsuit against OpenAI last Friday, and it's not messing around. The complaint alleges a pattern of misconduct reaching all the way up to OpenAI's chief hardware officer and claims more than 400 former Apple employees now work at the company. OpenAI's response so far has been carefully hedged, and the timing couldn't be worse with the company reportedly eyeing an IPO as early as later this year.



On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what the lawsuit could mean for OpenAI's own hardware ambitions and IPO timeline, plus a bigger theme running through the week's news: how much should anyone trust AI companies with their data?



Listen to the full episode to hear more about:

Why Microsoft CEO Satya Nadella is warning enterprises about handing data over to AI labs, and whether open source is really a way out of the “Trojan horse” data-trust problem

How forward-deployed engineers (FDEs) are changing the relationship between AI labs and their enterprise customers

Why General Catalyst just handed David Beckham's health drink startup a $1 billion customer value fund

The scoop on a new $200M drug-discovery startup from an ex-OpenAI researcher

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.

Chapters:

00:00 Intro

00:40 Would you want Sam Altman listening to you?

01:53 Apple sues OpenAI over trade secrets

13:24 Satya Nadella's warning: "you're paying twice" with your data

19:03 Open source vs. going deeper with AI labs

24:52 General Catalyst gives David Beckham's health drink startup $1B

30:05 Ex-OpenAI researcher raises $200M for drug discovery startup

32:58 Outro
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Can a handful of engineers really do the work of an army of consultants? That’s the bet behind Ode with Anthropic — the joint venture dedicated to embedding forward-deployed engineers in enterprise firms, backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs and others.



On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Ode’s leaders Chris Taylor and Eddie Siegel, who founded Fractional AI, the applied AI services startup that Ode acquired earlier this year to serve as the new venture’s core. The three discuss why so many enterprise AI pilots never make it to production and why they think AI-native services are about to become one of the biggest categories in tech.



Listen to the full episode to hear more about:

The case for AI-native services, and why Ode believes small teams of applied AI engineers can unlock hundreds of millions of dollars in business value.

Why the company is hiring experienced generalists and former founders instead of AI researchers, and how it's turning them into elite FDEs.

Whether an AI services company can scale like software, yet maintain a boutique feel, and why Taylor believes Ode could one day become a trillion-dollar business.

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.



Chapters:

00:00 Intro

00:30 Fractional AI becomes "Ode with Anthropic"

1:13 Why non-AI companies are the real AI winners

2:04 Working with Blackstone, Anthropic, and beyond

3:05 Inside a real project: fixing LogicGate's bottleneck

7:29 How long does it take from hypothesis to production?

9:19 Measuring ROI: revenue, efficiency, and evals

16:37 Model choice vs. workflow redesign, and why it's Claude-first

23:10 Hiring generalists over specialized AI talent

26:39 Can this scale without turning into another consulting firm?

30:49 Outro
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Open source AI is booming, according to Hugging Face CEO Clem Delangue. The company has grown into something like a GitHub for AI in recent years, where AI builders can share and download open models and datasets, now used by roughly half the Fortune 500. Delangue has seen the same story play out again and again: companies start out on frontier APIs, but as they scale, the costs push them towards open source models.



On this episode of TechCrunch's Equity podcast, Rebecca Bellan talked to Delangue about why the open vs closed source fight matters in the wake of Anthropic’s halted Fable release, and why he's worried about the possibility that a handful of big companies could end up controlling everything.



Listen to the full episode to hear more about:

How Chinese labs are producing the majority of open models being downloaded in the U.S., and why Delangue thinks that's a problem worth fixing rather than a reason to distrust open source itself.

How Hugging Face is choosing capital efficiency over the usual Silicon Valley fundraising playbook, including why the company turned down a large investment from Nvidia last year.

Why he sees robotics as an even more urgent case for open, transparent AI than chatbots or coding tools, given how much of your home and family life a robot ends up seeing.

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.



Chapters:

00:00 Intro

00:33 Breaking down open source growth data

04:34 What's driving the open source resurgence

08:47 Who’s using Hugging Face, and how?

10:28 China overtakes the US in open model downloads

16:34 Safety, access, and the risk of AI power concentration

24:03 Hugging Face's approach to legal risk

28:00 Turning down Nvidia

31:47 Underinvested opportunities: local AI, bio, robotics
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When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they're less skilled at understanding how things actually move through space and time — an essential skill for producing intelligence that generalizes. That gap, it turns out, might be filled by gaming data. That's the bet behind General Intuition, a Bezos-backed, New York-based startup valued at $2.3 billion that just closed a $320 million round with Coatue, Eric Schmidt, and researchers at MIT and Google DeepMind joining its list of investors.



On this episode of TechCrunch's Equity podcast, General Intuition CEO Pim de Witte joins Rebecca Bellan to dig into why world models trained on gaming data might be the next big leap in physical AI, how the company spun out of gaming platform Medal TV, and where the ethical red lines are when your models could end up being used for defense applications.



Listen to the full episode to hear more about:

How eight minutes of real-world data was enough to get a robot navigating an office cold.

Why General Intuition turned down an acquisition offer reportedly from OpenAI to stay independent, and why having investors who back your mission is essential to building a generational company.

How the company is trying to get ahead of AI job displacement by building Nerve, a marketplace connecting gamers to data labeling and teleoperations work.

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.
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