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Exclusive: Can You Trust That AI Agent? Baselayer Raises $35M To Help Companies Decide

$35M. Baselayer just raised a Series A to solve the problem nobody expected: verifying that AI agents are who they say they are.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As enterprises deploy autonomous agents into production, trust and verification become infrastructure problems. Baselayer is positioning identity/fraud-assessment tech as the guardrail layer for agent-to-agent and agent-to-human transactions—a new market category emerging from the agentic era.

The key facts

10 to know
  1. Baselayer raised $35M Series A led by M13

  2. Company pivoting from financial institution identity verification to AI agent verification

  3. Agent trust/verification framed as expansion of existing identity technology

  4. Timing: agents moving into production at enterprises; verification becomes a bottleneck

  5. Use case: helping companies decide whether to trust an AI agent—new category of infrastructure

  6. Baselayer raises $35M Series A led by M13

  7. Founded to help financial institutions verify businesses and assess fraud risk

  8. Now expanding identity technology specifically to AI agents

  9. Published September 22, 2026

  10. Agent trust/compliance emerging as distinct business problem

Go to the source

Crunchbase Newsnews.crunchbase.com

Publisher excerpt: Baselayer, an AI-powered startup that helps financial institutions verify businesses and assess fraud risk, has raised a $35 million M13-led Series A to expand its identity technology to AI agents.
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