
Mirendil
AI · Infrastructure
Mirendil lands $200M seed at $1B to build AI for AI R&D
Raised
$200M
Frontier AI lab Mirendil raises a $200M seed round at a $1B valuation to develop autonomous AI research and development systems.
Mirendil, a San Francisco-based frontier AI lab founded by former researchers from Anthropic and other leading AI organizations, has secured $200 million in seed funding at a $1 billion valuation. The round is one of the largest seed financings reported in the AI sector, underscoring strong investor confidence in Mirendil’s focus on automating AI research and development itself.
The seed round was co-led by Andreessen Horowitz and Kleiner Perkins, with NVIDIA participating alongside other investors. The capital will support Mirendil’s work on an AI research platform built around frontier models that autonomously design experiments, manage compute resources such as GPUs, and evaluate training checkpoints with minimal human supervision. By targeting AI systems that can perform the role of AI engineers and researchers, Mirendil aims to make cutting-edge AI R&D capabilities available beyond the largest labs and into universities and research institutions.
Mirendil’s founding team includes Behnam Neyshabur and Harsh Mehta, among other researchers and engineers drawn from Anthropic, OpenAI, Google DeepMind, and xAI. The company positions itself as a neo-lab focused on self-accelerating AI systems for scientific and engineering breakthroughs rather than consumer-facing applications. The scale of the round and the involvement of major investors like a16z, Kleiner Perkins, and NVIDIA place Mirendil among the highest-profile early-stage AI research labs, reflecting broader investor conviction that automating AI research is a key structural bet in the next phase of the AI ecosystem.
This funding event also fits into a wider pattern of large capital allocations to specialized AI labs working on frontier research infrastructure. With a $1 billion post-money valuation at the seed stage, Mirendil has resources comparable to much later-stage startups, enabling it to invest heavily in compute and talent as it builds out its autonomous AI R&D platform. Industry trackers and investor databases corroborate the round size, valuation, and investor syndicate, further confirming Mirendil’s position as a major new entrant in the AI research landscape.