# PlayerZero

> AI production engineering platform that builds a living world model of your software (code, tickets, telemetry, decisions) so autopilot SRE, support, and QA agents can investigate, simulate, and resolve production issues.

## Core

- [Homepage](https://playerzero.ai/): Overview of PlayerZero's engineering world model and the autopilot SRE, support, engineering, and QA agents that ride on it.
- [About PlayerZero](https://playerzero.ai/about-us): Company mission ("the production system of record"), backers, and how the platform unifies code, infra, and customer reality.
- [How PlayerZero Works](https://playerzero.ai/docs/how-playerzero-works): End-to-end explanation of how PlayerZero ingests code and telemetry, builds context, and runs investigations.
- [Welcome to PlayerZero](https://playerzero.ai/docs/introduction): Getting-started entry point for the product docs.
- [Quick Start Guide](https://playerzero.ai/docs/developer-guide/quickstart-guide): Fastest path to connect a codebase and run a first investigation.

## Use Cases

- [AI SRE](https://playerzero.ai/use-cases/sre): Detect incidents before they page, run parallel hypothesis verification via code simulations, and gate remediations behind approvals.
- [AI Support Engineering](https://playerzero.ai/use-cases/support-engineering): Auto-triage, diagnose, and resolve L2/L3 tickets with root cause analysis in minutes (Zuora: triage time 3d to 15m).
- [AI QA](https://playerzero.ai/use-cases/qa): Simulate code paths in the real codebase from PRDs and diffs to catch regressions before merge.

## Products & Features

- [AI Players](https://playerzero.ai/docs/features/ai-player): Conversational AI agent that navigates the codebase, debugs issues, and analyzes changes with full repo context.
- [Code Simulations](https://playerzero.ai/docs/features/code-sim): AI-predicted test scenarios that validate behavior before tests run, surfacing risks and coverage gaps.
- [Hive Mode](https://playerzero.ai/docs/features/hive-mode): Multi-agent investigations where specialist agents coordinate and cross-check in real time.
- [PR Reviews](https://playerzero.ai/docs/features/code-reviews): Automated pull-request review with testing guidance and regression detection.
- [Workflows](https://playerzero.ai/docs/features/workflows): Multi-stage pipelines with structured stages, transition rules, and human approval gates for agent work.
- [Monitors](https://playerzero.ai/docs/features/monitors): Scheduled checks across your systems that alert when conditions fail.
- [Knowledge Bases](https://playerzero.ai/docs/features/knowledge-bases): Upload org docs so agents can search and cite them during investigations.
- [User Replay Sessions](https://playerzero.ai/docs/features/debug-reports): End-to-end session capture correlating user actions, system data, and code for faster repro.

## Research

- [Introducing SIM-1](https://playerzero.ai/research/sim-1): Models that simulate large codebases and infrastructure for parallel debugging and verification.
- [Debugging in Partially Unobservable Systems](https://playerzero.ai/research/debugging-in-partially-unobservable-systems): Research on diagnosing production failures when telemetry only covers part of the system.
- [Deja Vu Benchmark](https://playerzero.ai/research/deja-vu-a-benchmark-on-the-ability-to-predict-customer-issues-before-they-happen): Benchmark measuring AI's ability to predict customer-reported issues before they occur.
- [Context Graphs (campaign)](https://playerzero.ai/campaigns/context-graphs): Why context graphs are the missing layer in enterprise AI and how PlayerZero builds them.

## Integrations

- [Integrations Overview](https://playerzero.ai/docs/connector/introduction): Index of supported source-control, ticketing, observability, and communication connectors.
- [PlayerZero MCP Server](https://playerzero.ai/docs/developer-guide/configuration-guides/mcp-setup): MCP server exposing codebase intelligence, telemetry, and issue context to any compatible AI assistant.
- [GitHub Integration](https://playerzero.ai/docs/developer-guide/configuration-guides/importing-code/github): Auto-imports repos for risk analysis, release monitoring, and AI features.
- [Slack Integration](https://playerzero.ai/docs/connector/slack): Trigger investigations and run agent workflows from Slack messages and DMs.
- [Jira Integration](https://playerzero.ai/docs/connector/jira): AI-assisted Jira issue tracking and triage.

## Resources & Insights

- [Resource Library](https://playerzero.ai/resources): Hub of blogs, case studies, research, and podcasts on AI production engineering.
- [Glossary](https://playerzero.ai/glossary): Definitions for MTTR, RCA, code simulation, predictive software quality, and related terms.
- [Case Study: Cayuse](https://playerzero.ai/resources/case-study-cayuse): How Cayuse prevents 90% of customer-facing issues with PlayerZero.
- [Case Study: Cyrano Video](https://playerzero.ai/resources/case-study-cyrano): How Cyrano cut debugging time by 80%.
- [Case Study: Key Data](https://playerzero.ai/resources/case-study-key-data): How Key Data slashed debugging time and increased innovation velocity.
- [Engineering Leader's Guide to AI Tools](https://playerzero.ai/resources/the-engineering-leaders-guide-to-ai-tools-for-software-development): Buyer-side framework for evaluating AI dev tools across the SDLC.
- [What Is Predictive Software Quality](https://playerzero.ai/resources/what-is-predictive-software-quality-rethinking-reliable-software-operations-in-the-ai-era): Defines the category PlayerZero pioneered.

## Key Facts

- Category: AI Production Engineering — agents that operate, maintain, and improve production software.
- Core technology: SIM-1 simulation models plus engineering-grade context graphs over code, infra, tickets, and telemetry.
- Primary use cases: AI SRE, AI Support Engineering (L2/L3 triage and RCA), AI QA, agentic debugging.
- Customer logos shown on homepage: Georgia-Pacific, Nylas, Zuora, Sema4.ai, EnableComp, Higher Logic, Onboard, iCIMS, Cayuse, KeyData, Connexure, Cyrano.
- Notable customer outcomes: Zuora triage time 3 days to 15 minutes; 98% reduction in MTTR; Cayuse 90% of customer-facing issues prevented; over $2M resources saved.
- Security & compliance: SOC 2 Type II certified.
- Recognition: Named to the 2026 CB Insights AI 100.
- Partnerships: Global enterprise rollout with Virtusa.
- Offices: San Francisco.
- Investors and advisors include: Foundation Capital (Ashu Garg), and executives such as Guillermo Rauch (Vercel), Dylan Field (Figma), Shishir Mehrotra (Coda), Drew Houston (Dropbox), Matei Zaharia (Databricks), Peter Bailis (Workday), Mark Pincus (Zynga).

## Contact

- Website: https://playerzero.ai
- Book a demo: https://playerzero.ai/request-demo
- Support / general: support@playerzero.ai
- Careers: https://playerzero.ai/careers (live board: https://jobs.ashbyhq.com/PlayerZero)
- Report AI concerns: https://playerzero.ai/report-ai-impact
- Privacy policy: https://playerzero.ai/legal/privacy-policy
- Terms of service: https://playerzero.ai/legal/terms-of-service