{"id":131585,"date":"2026-08-06T13:34:12","date_gmt":"2026-08-06T13:34:12","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/131585\/"},"modified":"2026-08-06T13:34:12","modified_gmt":"2026-08-06T13:34:12","slug":"exclusive-mirendil-inks-100m-google-cloud-deal-to-scale-self-improving-ai","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/131585\/","title":{"rendered":"Exclusive: Mirendil inks $100M+ Google Cloud deal to scale self-improving AI"},"content":{"rendered":"

AI lab Mirendil<\/a> has signed a multi-year partnership with Google Cloud to source compute capacity for its self-improving AI research, TechCrunch has exclusively learned.\u00a0<\/p>\n

The deal mirrors two trends shaping the AI industry: cloud giants are courting startups with huge infrastructure commitments, and AI companies are snatching up as many compute deals as they can to secure access as they scale.\u00a0<\/p>\n

The deal is worth upwards of $100 million, Mirendil\u2019s co-founder and CEO, Benham Neyshabur, told TechCrunch. That\u2019s roughly half of what Mirendil raised in seed funding at a $1 billion valuation<\/a> in late June. <\/p>\n

The deal gives the startup access to both Google\u2019s TPUs and Nvidia GPUs, as well as managed training clusters with which Mirendil will work on its self-improving AI. The startup hopes its AI will eventually be able to take on the work of an entire frontier AI lab.<\/p>\n

Self-improving AI, also known as recursive self-improvement<\/a>, refers to AI systems that iteratively improve themselves. It\u2019s a concept that major labs like Anthropic<\/a>, where Mirendil\u2019s co-founders hail from, have been working on. A handful of startups like Recursive Superintelligence<\/a> and Ricursive Intelligence<\/a> have also recently sprung up around achieving that goal. <\/p>\n

Mirendil believes this process will automate a lot of scientific and AI research, helping scientists make progress in fields like medicine, biology, and materials science.\u00a0<\/p>\n

Neyshabur thinks AI can mimic how human scientists can learn more about new domains, accumulate knowledge and expertise, and gradually improve their performance. \u201cYou can have a self-improving AI where you can point a problem at it and it keeps getting better with time,\u201d he said.<\/p>\n

\u201cHow can we have an AI system that keeps doing research, keeps improving its own knowledge and performance when it comes to Alzheimer\u2019s disease?\u201d he continued. \u201cThis technology allows us to set goals that are ambitious for AI, and the AI would keep making progress.\u201d<\/p>\n

Training self-improving AI, however, requires enormous amounts of computing power. The lab\u2019s co-founder Harsh Mehta said training is increasingly about matching the right workloads to the right hardware.\u00a0<\/p>\n

\u201cThese models are really good at working with different workloads and chips, and assigning the right workloads to the right chips,\u201d Mehta said. \u201c[Google] provides multiple kinds of chips [\u2026] 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.\u201d<\/p>\n

That flexibility is central to Google\u2019s AI infrastructure pitch. Amin Vahdat, SVP and chief technologist of AI and infrastructure at Google, said in a statement that AI advancement isn\u2019t just about chip-level performance anymore, \u201cbut how we orchestrate entire systems of intelligence and break through the physical constraints of scaling.\u201d<\/p>\n

Neyshabur said Mirendil\u2019s software and systems layer help customers get more out of Google\u2019s hardware, giving the cloud giant another potential leg up in the race against its competition. In return, Google gets a strategic partner building frontier recursive self-improving AI \u2014 technology that it can eventually shop around to enterprise customers.\u00a0<\/p>\n

When you purchase through links in our articles, we may earn a small commission<\/a>. This doesn\u2019t affect our editorial independence.<\/p>\n","protected":false},"excerpt":{"rendered":"AI lab Mirendil has signed a multi-year partnership with Google Cloud to source compute capacity for its self-improving…\n","protected":false},"author":2,"featured_media":131586,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[24,1367,132,1429,2194,65715],"class_list":["post-131585","post","type-post","status-publish","format-standard","has-post-thumbnail","category-google","tag-ai","tag-exclusive","tag-google","tag-google-ai","tag-google-cloud","tag-mirendil"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/131585","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=131585"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/131585\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/131586"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=131585"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=131585"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=131585"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}