Revelara.ai
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What a finding looks like

HIGHsvc/main.py:4

requests.get has no timeout or deadline

control RC-019 · rvl explain bfyx

How it works → Features →
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Platform

  • Detect Match your code against real incident patterns. Included in every plan.
  • Correlate Find the low risks that combine into one high risk across services.
  • Architect STPA-inspired hazard analysis of your control structure.

Developer tools

  • rvl CLI Open source scanner. Runs locally. Your code stays on your machine.
  • MCP server Incidents, risks, and controls inside your coding agent.
  • Agent plugins /scan, /ask, and /fix in the coding agent you already use.

Capabilities

  • Risk register Classified, scored, and linked to services and teams.
  • Controls catalog 70 reliability controls with evidence tracking.
  • SOC 2 readiness Coverage by criterion, with current evidence.
Solutions

From an early user

“It's not just telling me the problem, but I can already start to see the matrix beyond it as the same failure class is highlighted across multiple disparate repositories.”

Principal Engineer, ex-Amazon/ex-Google

All solutions →

By use case

  • Pre-commit risk gate Block the risky change before it merges.
  • Guardrails for AI-written code Your agent writes the code. Revelara checks it against real outages.
  • SOC 2 reliability evidence Evidence that stays current between audits.
  • Learn from incidents, public and your own Thousands of public incidents, and your own, become findings in the next diff.
  • Reliability design review Find systemic hazards before you build.

By team

  • Developers Findings in your terminal, with the reason attached.
  • Staff engineers and architects See the same failure class across every repo.
  • Platform and SRE Scale your judgment across every team.
  • Engineering leaders Where risk is dense, and which way it moves.
  • Security and compliance Map engineering controls to audit criteria.
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Memory

Reliability, systems thinking, and what we find while building.

Code Review Is a Memory Problem

The catch during review comes down to a memory someone happened to have. If remembering can be made cheap and put in the diff, review can stay thorough while code volume climbs.

Shift Left·Aug 2, 2026

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