Baselayer Raises $35M Series A for AI Agent Identity Platform

Baselayer has raised a $35 million Series A round led by M13 to build identity infrastructure for AI agents. The funding will support the launch of a platform designed to give autonomous AI agents verifiable identities, a foundational layer as more organizations deploy agents to act on their behalf across digital systems.

The round signals early but significant investor confidence in a specific slice of the AI infrastructure stack: the plumbing that lets enterprises know which agent is doing what, on whose authority, and with what level of trust. As AI agents move from experimental to operational, identity and access management for non-human actors is emerging as a distinct category rather than an afterthought bolted onto existing systems.

Enterprises adopting AI agents face a problem that traditional identity and access management wasn't built to solve: verifying and governing entities that aren't human employees or customers, yet still need permissions, credentials and audit trails. Baselayer's bet is that this becomes essential plumbing as agents take on tasks like transacting, retrieving data or executing workflows autonomously. Without a reliable way to authenticate and monitor agents, organizations risk security gaps, compliance exposure and a loss of control over automated decision-making.

For digital transformation leaders, this is a reminder that scaling AI agents isn't just a model or interface problem — it's an operating-model problem. Identity infrastructure determines whether agent deployment can be trusted, audited and governed at enterprise scale, which in turn shapes how fast and how far organizations are willing to let agents act on their behalf.

— $35 million raised by Baselayer in its Series A funding round, led by M13.

Most coverage of agentic AI focuses on what agents can do. The more interesting question is what happens when something goes wrong — and who, or what, is accountable.

Identity infrastructure for AI agents isn't a technical footnote; it's the trust layer that determines whether customers, regulators and employees will accept agentic AI making decisions on their behalf. Organizations that treat agent identity as an afterthought will eventually face a moment where they can't answer a basic question: which agent did this, and why. The operators who win here won't be the ones with the flashiest agents, but the ones who can prove — clearly and instantly — that every agent action is traceable, permissioned and revocable.