Building the trust layer for the agent era
We are a Delhi-based AI infrastructure company. We believe governance should be engineered into AI systems — not bolted on after the fact.
Mission, vision, and values
Mission
Enable organizations to deploy AI agents with confidence through clear runtime governance and operational guardrails. Trust should be engineered into systems, not bolted on after the fact.
Vision
A future where trustworthy autonomous systems are standard in enterprise workflows. As AI agents take on more complex tasks, governance must evolve alongside their capabilities.
Values
Trust by design, operational clarity, and responsible human oversight at every stage of adoption. We build for teams who need to ship fast without compromising on accountability.
What drives us
The problem we see
AI agents are being deployed faster than governance frameworks can keep up. Teams are choosing between moving fast and maintaining control. We think that is a false trade-off.
The current state of agentic AI is: powerful models, capable frameworks, and almost no standardized runtime governance. Audit trails are inconsistent. Approval flows are manual. Policy enforcement is ad hoc. This creates real risk as agents get more autonomy.
Our approach
We build governance tooling that works at the speed of agent execution — runtime checks in under 2ms, structured approvals that suspend indefinitely, and audit-ready traces that integrate into existing workflows without slowing delivery.
Our products are developer-first: minimal setup, composable primitives, and no lock-in. AGR can be added to any existing agent framework in a day. Company Box can ship a feature without touching your existing stack.
Two products
Agentic Governance Runtime
A developer SDK that wraps any AI agent with Cedar policy enforcement. Evaluate every action in under 2ms, suspend for human approval via Temporal, and build an immutable audit trail automatically.
- Cedar policy engine (<2ms p95)
- Temporal approval workflows
- Hash-chained audit trail
Your AI Engineering Team
A 5-agent pipeline — PM, Tech Lead, Coder, QA, DevOps — that takes a feature description and delivers a real GitHub PR, tested and staged, with a one-click production approval gate.
- PM to deploy in one run
- Real code in your GitHub repo
- Production gate by AGR
Want to work with us?
We're building the trust layer for the next generation of AI systems — from a small, focused team in Delhi.