Illustration for: Mirendil Signs $100M+ Google Cloud AI Deal

Mirendil Signs $100M+ Google Cloud AI Deal

AI research lab Mirendil signed a multi-year Google Cloud partnership worth more than $100M for TPU and GPU compute to train self-improving AI systems aimed at eventually automating an entire frontier lab's research work.

By the Numbers

$100M+
Deal value
$200M
Prior funding
Google TPUs + Nvidia GPUs
Compute
TC
By the AI Desk
Edited by Trace Cohen · Early-stage VC & angel · Founder, New York Venture Partners
1 min read
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THE RUNDOWN

1

A compute commitment worth more than $100 million against $200 million raised in seed funding means Mirendil has tied a sum on the order of half its lifetime capital to one vendor relationship before shipping a product.

2

Google gets a strategic position in a lab building recursive self-improving AI without writing an equity check -- the same playbook it has run landing AI-native startups on Google Cloud rather than AWS or Azure.

3

The founding team came out of Anthropic, and the stated goal -- AI that can take on the research and engineering work of an entire frontier lab -- is the direction Anthropic, OpenAI and DeepMind have all pointed publicly this year.

4

The diligence question for this whole category is what "self-improving" means operationally today versus on a five-year roadmap slide, because the distance between those two answers is where most of the hype currently sits.

TC

The VC Read · Trace's Take

Trace Cohen

Cloud giants courting compute-hungry AI labs with nine-figure deals is now standard distribution strategy, not generosity -- Google gets a strategic stake in whatever Mirendil builds without writing an equity check. The real diligence question for any self-improving-AI startup: what does 'self-improving' mean operationally right now versus as a five-year roadmap slide, because that gap is where most of this category's hype currently lives.

Analysis

Mirendil, an AI research lab founded by former Anthropic researchers including CEO Behnam Neyshabur, signed a multi-year partnership with Google Cloud worth more than $100 million for compute capacity, according to TechCrunch. The deal gives Mirendil access to both Google's TPUs and Nvidia GPUs through managed training clusters, which the company will use to develop what it calls self-improving AI -- systems designed to accelerate their own research and development cycle. Mirendil has previously raised $200 million in seed funding.

The company's stated ambition is unusually direct for a lab this young: build AI capable of eventually taking on the research and engineering work of an entire frontier AI lab. That's the same broad direction Anthropic, OpenAI and DeepMind have all pointed toward publicly this year, using language like "AI exponential" and "intelligence explosion" to describe models that increasingly help build the next generation of themselves.

For Google, the deal is as much about distribution as compute revenue -- landing a startup building frontier recursive self-improving AI as a strategic partner gives Google a technology it can eventually offer enterprise customers through its own cloud platform, the same playbook it has run with other AI-native startups building on Google Cloud rather than AWS or Azure.

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Key Sources

3 sources

Reported by TechCrunch · First reported by Seeking Alpha · Analysis by Value Add Pulse.

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