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The Context & Control Model for Production.

NOFire AI is the control layer that lets enterprises ship faster without breaking production.

Systems behave in patterns. NOFire builds the Production Context Graph, a live, time-versioned map of how a production system actually works: its dependencies, its change history, its failure patterns, and the causal relationships between them. Everything the team knows about production, captured in one place and learned from continuously.

That map does four things.

Prevent. Every change is risk-scored before it deploys, so the outage gets caught in the pull request instead of at 3am.

Resolve. When something does break, NOFire traces the causal chain from alert to root cause and cuts resolution from hours to minutes. 89% accuracy on our published root cause analysis benchmark.

Remember. The fix is captured permanently, so the same failure does not happen a second time.

Govern. AI agents run inside hardware-isolated microVMs with policy enforcement at the syscall level. Every autonomous action is bounded, auditable and reversible.

Your data never leaves your environment. Models run on your own infrastructure, with your existing approvals. No new attack surface.

Causal, not probabilistic. Live, not snapshotted.

NOFire is built by a team of engineers in Athens with backgrounds in large-scale infrastructure, systems research and reliability engineering. We work closely with the Greek engineering and open source communities.

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