Introducing SIM-1: Models that simulate large codebases and infrastructure for parallel debugging and verification

Detect issues before they page, resolve incidents in minutes.

Proactive detection integrated into your SDLC. Parallel hypothesis verification via code simulations. Automated remediation with approval gates.

Detect
Simulate
Resolve
Prevent
Zuora
Cayuse
Key Data
Georgia-Pacific
iCIMS

Zuoracatches production regressions before they reach customers. Nylasresolves incidents 4x faster with automated root cause analysis.

Catch issues before they reach production

  • Catch issues before deploy
    Simulations run on every PR to surface regressions before merge.
  • CI/CD native
    Plugs into your existing pipeline — GitHub Actions, Jenkins, GitLab CI.
  • Staging-aware
    Monitors staging environments and flags anomalies before promotion.
  • Zero false-positive fatigue
    Tests against your actual codebase and production patterns, not generic rules.

Parallel hypothesis verification

Memory leak in connection pooling
Config drift in rate-limiter
Race condition in Redis session handler
  • Parallel hypothesis testing
    Tests multiple theories simultaneously instead of sequential debugging.
  • Code-level simulations
    Runs hypotheses against your actual codebase, not just metrics.
  • Evidence-based diagnosis
    Every hypothesis includes code paths, blast radius, and confidence score.
  • Minutes, not hours
    Resolves in the time it takes an engineer to open the first dashboard.

Remediate with confidence

Approval gateWaiting on on-call
  • Auto-generated remediation plans
    Suggests rollbacks, config changes, or code fixes based on root cause.
  • Safe-by-default
    Every remediation includes blast radius assessment and rollback strategy.
  • Approval workflows
    Configurable gates for on-call, team leads, or automated approval.
  • Full audit trail
    Every action logged for postmortems and compliance.

Every incident makes your system more resilient. PlayerZero learns from each resolution to detect and prevent the next one before it pages.

Built for production-grade reliability

Everything you need to keep production healthy — from alert to resolution to prevention.

Monitoring integration
PagerDuty, OpsGenie, Datadog, Grafana, and 30+ monitoring tools.
Log & trace ingestion
Correlates logs, traces, and metrics across your full stack.
Change correlation
Links incidents to recent deploys, config changes, and feature flags.
CI/CD integration
GitHub Actions, Jenkins, GitLab CI — simulations run on every PR.
Postmortem generation
Auto-generates detailed postmortems with timeline, root cause, and action items.
Grows into Support & QA
The same production model powers ticket resolution and test automation.