Mirendil Raises $1B Series A to Bring Frontier AI R&D to More Teams
What happened
Mirendil announced on November 12, 2026 that it raised $1 billion in a Series A funding round led by Kleiner Perkins and Clearlake Capital. The company aims to make advanced AI research and development accessible to more scientists and engineers. Mirendil developed Mirendil-Base, a coding model trained mostly by AI agents with minimal human intervention, and launched two products, Fern and Lor, to support high-volume agentic work and cloud-based delegation. The funding follows the company's earlier $200 million seed round and a partnership with Google Cloud.
Key details
- Mirendil-Base was trained by one researcher and AI agents in 3.5 months for under $10 million in compute costs.
- Fern 0.1 supports a 10 million token context window, allowing it to process large volumes of code and agent activity.
- Lor is a cloud-based platform for delegating coding and experiment tasks to AI agents, available in private beta for macOS, Linux, and web.
- The founding team includes 20 researchers and engineers from Anthropic, xAI, Google DeepMind, and OpenAI.
- Mirendil has a multi-year partnership with Google Cloud for training and research infrastructure.
Why it matters
Researchers, engineers, and organizations working on AI can now access tools that allow a single person or small team to conduct projects that previously required much larger groups or institutions. This reduces the cost and resource barriers for advanced AI research, making it possible for more teams to experiment and innovate. Companies and individuals using Mirendil's products may be able to accelerate their work and take on more ambitious projects with fewer people and less infrastructure.