Mirendil

Artificial Intelligence · AI Research Tools · Agentic AI

Funding

Mirendil raises $1B Series A led by Kleiner Perkins, Clearlake Capital

A single researcher working with AI agents pretrained a competitive coding model from scratch for under $10 million in three months.

• Mirendil raised $1 billion in a Series A led by Kleiner Perkins and Clearlake Capital to scale its frontier AI research agents and models.
• The San Francisco lab builds models and agent software end-to-end with a single goal: letting one person do work that used to need a team, and a team do what used to need an institution.
• In an October 21 report, Mirendil said one researcher working with AI agents pretrained its Mirendil-Base coding model from scratch in 3.5 months for under $10 million in compute, with agents writing over 99% of the code.
• Mirendil post-trained that base model into Fern, which supports up to 10 million tokens of context, enough to hold days of an AI agent's work at once.
• Lor, Mirendil's cloud platform launched October 28, lets a user dispatch hundreds of agents to write code, run experiments and provision compute for days or weeks at a stretch; it's free in private beta.
• Reports in September described Mirendil, founded by former Anthropic researchers, in talks for a round of up to $1 billion at a $5 billion valuation, before the deal and terms were finalized.
• A $1 billion Series A for a company barely a year old shows investors betting that agent-driven R&D, not just headcount, now determines how fast frontier AI labs can move.