AI startup Mirendil has signed a multi-year partnership with Google Cloud worth more than $100 million to expand its compute infrastructure for self-improving AI research, TechCrunch reported exclusively on August 6, 2026.
The deal gives Mirendil access to Google’s TPUs and Nvidia GPUs, along with managed training clusters. The partnership was confirmed by Mirendil co-founder and CEO Behnam Neyshabur, who noted the sum represents roughly half of what the company raised in seed funding at a $1 billion valuation in late June 2026.
Mirendil is focused on recursive self-improvement — AI systems that iteratively improve themselves over time. The startup’s co-founders previously worked at Anthropic. Neyshabur described the goal as building AI capable of taking on the workload of an entire frontier AI lab, with potential applications in medicine, biology, and materials science. “How can we have an AI system that keeps doing research, keeps improving its own knowledge and performance when it comes to Alzheimer’s disease?” he said.
Co-founder Harsh Mehta said the Google Cloud arrangement offers hardware flexibility that could reduce costs for both Mirendil and its customers. “This flexibility allows us to ultimately mix and match workloads with the right kind of accelerators,” Mehta said. Google SVP Amin Vahdat added in a statement that AI progress now depends on “how we orchestrate entire systems of intelligence” rather than chip-level performance alone.
The deal reflects two broader dynamics in the AI industry identified in the source: cloud providers are offering large infrastructure commitments to attract AI startups, and AI companies are securing compute access ahead of scaling. For Google, the partnership may provide a strategic foothold in recursive self-improving AI technology that it could eventually offer to enterprise customers.
Source: TechCrunch