VERIFIED RELIABILITY ENGINEERINGProve your
Prove your
software is ready
for what’s next.
Model your production system, rehearse high-impact failures, and verify every repair against the same evidence—before you ship.
- ✓Private by default
- ♙Human-approved changes
- ⌘Evidence-backed results
⌁ Live traffic
▲ Error spike
✦ Proposes fix
Recovered
Map the real systemConnect a repository and review every inferred service and dependency.
◎‹/›▱▣⚙
Rehearse critical failuresRun bounded scenarios that mirror the incidents your team plans for.
› Latency spike
› DB connection drops
› Payment gateway timeout
› Queue backlog
Compare verified repairsEvaluate candidate fixes against identical replay evidence and hard gates.
Approve fix ✓
Make the release decisionApprove the strongest result with a complete, auditable evidence trail.
✓
◆ GitHub▣ TypeScript◎ Playwright▲ Vercel✦ OpenAI
ONE CONTROL PLANE
From repository to a verified reliability decision.
Connect an exact commit, review the inferred system model, approve a bounded environment, and run up to 20 scenarios from one AI-assisted campaign.
- 01Observe the real systemEvidence-linked graph, routes, tests, services, and dependencies.
- 02Run many bounded simulationsTraffic, dependency, database, and combined failure scenarios.
- 03Compare three repairsIdentical replay, hard gates, deterministic scoring, human approval.
Baseline ✓Surge ✓Outage !Latency ✓Combined …Recovery ✓
SAFE BY CONSTRUCTIONAgents propose.
Agents propose.
Workflows decide.
Every sensitive action is tenant-scoped, persisted, validated, and explicitly approved.
Explore securityKnow what will happen
before production does.
Start in a private workspace. Connect only the repositories and environments your team approves.