Anthropic Alumni Startup Sees Valuation Jump Fivefold

Mirendil, a fledgling artificial intelligence startup, is on the cusp of a significant valuation surge, with reports indicating that its latest funding round could see it soar to a $5 billion valuation. Bloomberg cited sources familiar with the matter, stating that Kleiner Perkins is expected to lead the round, potentially injecting $1 billion in new capital.

Further investment from Andreessen Horowitz is also being discussed. This valuation jump marks a fivefold increase in just a single quarter, following a $200 million seed round led by Kleiner Perkins and Andreessen Horowitz back in March.

Founded this year by former Anthropic researchers, Mirendil aims to develop models capable of self-improvement with minimal human intervention. The startup currently employs over 20 individuals and has secured the additional funding to support its research and development efforts. The forthcoming capital will be primarily used to develop Mirendil's proprietary models and fund upcoming training runs.

One of the startup's ultimate goals is to democratize frontier AI capabilities by early next year, enabling a broader range of industries, such as drug discovery, chemistry, biology, and robotics, to leverage advanced AI. As noted on its website, Mirendil believes that any laboratory seeking to utilize AI in various scientific domains must also become a frontier AI lab themselves.

The investment interest in Mirendil underscores the growing trend of capital flowing into neo-labs, startups that prioritize ambitious research over short-term revenue generation. This includes other notable AI startups like Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, which is in talks for at least $1 billion in funding at a $40 billion valuation, and Periodic Labs, a scientific discovery venture led by former OpenAI researcher Liam Fedus, valued at approximately $1.3 billion.

These financing rounds position Mirendil at a valuation of 25 times its cumulative funding to date, a multiple that aligns with other high-profile AI startups as investors increasingly back research-driven enterprises, rather than those with immediate revenue streams.