$100M+ Google Cloud Deal Backs Mirendil’s Self-Improving AI Push

Google Cloud has committed more than $100 million in infrastructure resources to Mirendil, the artificial intelligence laboratory co-founded by Benham Neyshabur and Harsh Mehta, according to exclusive reporting. The multi-year agreement provides access to both Tensor Processing Units (TPUs) and Nvidia GPUs, alongside managed training clusters tailored for Mirendil’s self-improving AI development.

What self-improving AI aims to achieve

Self-improving AI—also termed recursive self-improvement—describes systems capable of iteratively enhancing their own capabilities without human intervention. Mirendil’s stated objective is to build AI that eventually replicates the full scope of work conducted by a frontier AI research lab. Neyshabur, the lab’s CEO and co-founder, told TechCrunch the technology could automate broad segments of scientific and AI research, with applications envisioned in Alzheimer’s disease research, medicine, biology, and materials science.

“You can have a self-improving AI where you can point a problem at it and it keeps getting better with time,” Neyshabur said. He added: “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? This technology allows us to set goals that are ambitious for AI, and the AI would keep making progress.”

Hardware flexibility as a strategic lever

The scale of training required for such systems demands massive computational throughput. Mehta, Mirendil’s other co-founder, emphasized workload-hardware alignment as central to efficiency. “These models are really good at working with different workloads and chips, and assigning the right workloads to the right chips,” he said. “Google provides multiple kinds of chips […] this flexibility allows us to ultimately mix and match workloads with the right kind of accelerators, and then lower the cost not just for us, but also for our customers using our systems.”

Amin Vahdat, Google’s Senior Vice President and Chief Technologist of AI and Infrastructure, stated in an official comment that AI advancement now hinges less on isolated chip performance and more on “how we orchestrate entire systems of intelligence and break through the physical constraints of scaling.”

Strategic alignment between cloud provider and AI lab

The deal represents roughly half of Mirendil’s seed funding round, which closed in late June at a $1 billion valuation. Neyshabur noted that Mirendil’s software and systems layer augments Google’s hardware offerings, potentially strengthening Google Cloud’s competitive positioning against rival infrastructure providers. In return, Google gains a strategic partner developing frontier recursive self-improving AI—a capability the company intends to commercialize for enterprise clients.

Self-improving AI research is underway at several entities, including Anthropic—where both Neyshabur and Mehta previously worked—as well as startups Recursive Superintelligence and Ricursive Intelligence.