Michael Beygelman founded Claro Analytics in 2014, when most enterprise buyers still couldn't spell "vector database." He built semantic embedding systems, knowledge graphs, and predictive models for Fortune 500 clients anyway, scaled the business, and exited in 2022.
Now he's back. And the timing, again, looks deliberate.

Beygelman's new company, Insygna, is building trust infrastructure for AI agents. Not a governance dashboard. Not a compliance checklist. Infrastructure: the foundational layer that lets organizations verify what an autonomous agent actually is, what it's authorized to do, and who is accountable when it acts.

The problem is real and getting harder to ignore. Enterprises are deploying agentic AI systems at pace, but the governance frameworks underlying those deployments were designed for a different era — single-model systems, human-in-the-loop workflows, decisions that move at human speed. Multi-agent orchestration breaks all of those assumptions. Agents act in chains. They delegate to other agents. They execute at machine speed with no natural pause point for a human to intervene.

Insygna's answer is verifiable agent identity and trust scoring baked into the deployment layer itself. Think IAM for your AI workforce: every agent credentialed, every action bounded, every accountability chain visible.

The market timing is sharp. EU AI Act enforcement arrives this summer. Multi-agent deployments are accelerating. And most enterprises have no clear answer to the question: who, or what, is responsible when an autonomous agent does something it shouldn't?
That's the gap Insygna is building into.

"Existing frameworks were designed with the models being the focal point of the value proposition," Beygelman said. "In reality, it's the AI agents that are responsible for the actual work, and as the market consolidates to 4-5 primary AI models, the AI workforce will suddenly be thrust into the spotlight as the 'last mile' problem. We're filling that gap at the infrastructure level, before the market fully understands it needs us but my sense is that it won't be long."

He's been early before. He's usually been right.