Mirendil lands $1B Series A at reported $5B valuation

Mirendil's round stands out less for its absolute size than for its pace. The $1B Series A is roughly 5x the seed round the company raised just a few months earlier, and outside reporting puts the post-money at about $5B. That combination — a short gap between rounds and a large step-up — is the kind of pricing that usually appears when investors expect a category to consolidate quickly.

The company's pitch is to make frontier AI research and development more accessible, and its public products hint at how: Fern 0.1 is a 10M-token-context model, while Lor orchestrates hundreds of autonomous coding and experiment agents. Read together, these suggest Mirendil is selling infrastructure for running many AI-driven experiments at once, rather than a single end-user application — a segment where buyers are technical teams inside AI labs and large enterprises.

The investor list mixes traditional venture firms with strategic backers: Kleiner Perkins and Clearlake Capital led, with Battery, Google, M13, Pear VC and S32 participating. The presence of Google alongside a founding team drawn from Anthropic, OpenAI, Google DeepMind and xAI may signal that strategic investors want visibility into tooling that could shape how frontier research gets automated.