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Autonomous resilience intelligence

Simulate Real-World Chaos Before Production Does.

AI-driven autonomous failure simulation for resilient software systems.

Start AnalysisHow it works

4+

Frameworks

12+

Failure modes

9

Pipeline stages

The problem

Production is the first place most teams learn their architecture breaks.

Untested dependency chains fail under real latency and partial outages.

Retry storms and missing circuit breakers amplify small faults into cascades.

No visibility into blast radius until customers are already impacted.

How it works

An autonomous pipeline from ZIP to resilience report

Architectural scan

AST and heuristics map dependencies, external APIs, and weak points in your uploaded codebase.

Autonomous chaos

Sandboxed execution with live HTTP injection — latency, faults, and cascade scenarios chosen from real risks.

AI post-mortem

Root cause, blast radius, and remediation paths generated from telemetry — not static templates.

Simulation

Watch failures propagate across your dependency graph

Live injection against sandboxed services, with heatmaps, timelines, and AI-generated remediation — every metric tied to your actual code.

Projects

Upload any backend or explore demos

Ready to stress-test your architecture?

Upload a ZIP, watch the autonomous pipeline run, and open a full resilience dashboard in minutes.

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