NanoCo, the company that built NanoClaw as a hardened alternative to OpenClaw, announced a $12 million seed round that filled up in days. Valley Capital Partners led the round, while Docker, Vercel, Monday.com, Slow Ventures and angels including Clem Delangue, chief executive of Hugging Face, also participated.

Gavriel Cohen and his brother Lazer, the co‑founders, went from writing the first lines of code on a couch to fielding a flood of interest from investors, founders and tech executives in less than six weeks. Andrej Karpathy’s tweet praising NanoClaw and a viral Facebook post from Singapore’s foreign minister, who called the tool his “second brain,” propelled the project into the spotlight.

Within that whirlwind, the brothers fielded a six‑digit acquisition offer for a portfolio company and, shortly after, a roughly $20 million buyout proposal that included jobs to run the business. Both offers were turned down. “We wanted to keep building the community and the product ourselves,” Gavriel said.

The decision paid off. Partnerships with Docker and Vercel followed the viral buzz, and the company began onboarding enterprise customers. Executives at Amazon, Gap, Google, Meta, SentinelOne and Accenture are now using NanoClaw, often after internal pilots led by technically skilled staff. To support these deployments, NanoCo now offers “forward‑deployed engineers” who handle implementation and ongoing support.

NanoClaw’s architecture sets it apart: the AI agents run sandboxed inside containers, keeping them isolated from a host system’s credentials and services. That design, once novel, has become a common approach for secure AI‑agent deployments. The open‑source community has already begun extending the platform, with contributions ranging from code to experiments running NanoClaw on the Reachy Mini robot.

With a growing user base that numbers in the thousands, NanoCo is positioning itself as both a platform and a service provider. The seed capital will fund further product development, expand the forward‑deployment team, and deepen integrations with cloud and container tooling.

This article was written with the assistance of AI.
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