Ship every change with confidence. Simulations that catch regressions before merge.

Simulations verify code paths in your actual codebase — not browser-based UI tests. Generated from PRDs, code changes, and production patterns.

Generate

Execute

Validate

Ship

catches billing regressions before they reach production. ships with confidence using simulation coverage.

Generate simulations from how your software actually works

From PRDs and specs
Reads product requirements and generates scenarios that validate intended behavior.
From code changes
Analyzes every PR diff to create targeted simulations for changed code paths.
From production patterns
Learns from real user workflows to simulate the scenarios that matter most.
Always up to date
New scenarios generated automatically as your code and requirements evolve.

Prorate mid-cycle plan upgrade

Apply AUD currency conversion

Handle zero-amount invoice edge case

Simulates code paths, not just endpoints
Executes against your actual codebase, catching issues unit tests miss.
Full-stack coverage
Simulations span services, databases, and integrations.
Fast feedback
Simulations complete in seconds, not the minutes of full E2E suites.
Parallel execution
Runs all scenarios simultaneously instead of sequential test suites.

Root cause, not stack traces
Every failure includes the exact code path, file, and line.
Suggested fixes
Provides actionable remediation, not just a description of what went wrong.
Impact assessment
Shows blast radius — how many users and workflows are affected.
Regression tracking
Knows when a failure was introduced and which commit caused it.

Every simulation teaches PlayerZero more about your system. Coverage grows automatically as your codebase evolves — no manual maintenance required.

Everything you need to ship with confidence — from simulation generation to merge gates to coverage analytics.

CI/CD integration

GitHub Actions, Jenkins, GitLab CI — simulations run as PR checks.

Deep code understanding

Semantic codebase graph across monorepos and microservices.

Coverage analytics

Track coverage and identify unsimulated critical paths.

Regression prevention

Automatically generates new scenarios when production issues are found.

PR merge gates

Configurable pass/fail thresholds that block merges until critical scenarios pass.

Grows into Support & SRE

The same production model powers ticket resolution and incident response.

Recent highlights

Our smartest models capable of simulating how code runs

A new category of models built to understand and predict how large codebases behave in complex, real-world scenarios

Evaluating how well AI models can anticipate customer-facing issues before they surface in production.

How AI can diagnose issues in complex systems where full observability is impossible.