SAN FRANCISCO, Nov. 12, 2026 /PRNewswire/ — Today, we’re announcing that we’ve raised $1B in a Series A, led by Kleiner Perkins and Clearlake Capital, with participation from Battery Ventures, Doerr Capital, Gil & Co, Google, M13, Pear VC, and S32, among other new and existing investors.
We believe making AI R&D more accessible is the most direct path to AI that solves humanity’s most pressing problems across science and technology. We’re building tools to democratize frontier AI R&D and help put it within reach of every scientist and engineer.
Over the past three weeks, we’ve shared our first results, and they point to the same shift: when agents do the hands-on work, the size of your team stops limiting what you can build. One researcher, working with agents, pretrained Mirendil-Base, a competitive coding model, from scratch in 3.5 months with less than $10M in compute. We then post-trained it into Fern, which holds up to 10M tokens of context, enough for days of an agent’s work. And Lor, now in private beta, brings this way of working to everyone else: hundreds of agents writing code and running experiments for days at a time. Mirendil runs on Lor every day.
This round lets us go further, toward a world where one person can take on what used to need a team, a team what used to need an institution, and we can help accelerate science and technology in a more direct way than we’ve done before.
We’re still a small team with a singular focus. If you want to help make frontier AI R&D accessible to everyone, join us. If you’d like to build with Mirendil, we’d like to hear from you at contact@mirendil.com.
SOURCE Mirendil