EXEMPLAR
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Control plane for agentic governance

About Exemplar

Control plane for agentic governance

Agents already run in IDEs and in production. Most companies find out after something irreversible. Exemplar is the company layer: adopt useful AI quickly, make dangerous execution hard, and keep material actions attributable and interruptible.

Why we exist

Cursor, Claude Code, and a pile of MCP servers show up on laptops first. Production agents follow. Security, spend, and audit show up late. Strategy decks do not stop a tool call.

We build the control plane that sits in front of execution — for IDE agents and for the agents you run yourself — so the company has a layer that survives the next model and the next IDE.

Enterprise AI strategy has three jobs

That is the thesis. The product and the program both serve it.

Help teams adopt useful AI quickly

Framework, model, and the first production path — on a clock we set together.

Make dangerous execution hard

Policy before bash, path, deploy, or data access. The risky action does not run by default.

Keep material actions attributable and interruptible

Who did what, with which agent, and a way to stop it. Audit security can read.

Team

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Shubhanshu Singh

Cofounder, CEO and CTO

12 years building developer infrastructure. Built the internal developer platform at Lowe's, used by 4,000+ engineers. Former CTO at Halaplay (acquired by Nazara Technologies) and Sharpsell.

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Himanshu Saxena

Cofounder, Growth and Distribution

Devtools GTM. Took DevDynamics from 0 to $1M ARR. Founding growth at OnFinance. Founder, Centre for Applied AI and Governance. Hosts Diary of a CTO for 100+ engineering leaders.

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Talk to the team

Start an 8–12 week AI Strategy Partner engagement.

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