PlayerZero is an AI production engineer that builds a living model of how your software actually works.
Autopilot SRE, support, and QA agents that understand, maintain, and operate complex production software.
WORLD MODELS & SIMULATIONS
The first engineering world model grounded in code, tickets, observability, and your organization's decision-making.
A shared world model gives support, engineering, and QA agents one source of truth to coordinate ownership, reduce handoff friction, and resolve production work faster.
Agents that truly own work, get better over time, and build your organization's institutional memory.
How teams operate production software with PlayerZero.
Explore customer storiesWe partner with engineering teams handling complex, customer-facing production systems to reduce escalations, accelerate triage, and keep releases on track.
95% reduction in engineering escalations for L2 and L3 tickets across 300 developers and support folks.
Read the story8x faster MTTR and 2x faster incidents automatically resolved.
84% reduction in defect escape rate, 8x faster PR review time, and fewer tickets created after release.
6x faster ticket triage time and >50% faster developer onboarding time.
AGENTS
Agents that navigate people, process, and context so production work moves forward without waiting on handoffs.
Give your engineers their time back. PlayerZero agents handle the repetitive triage, investigation, and coordination work so your team can focus on building.
Coordinated delegation across teams
Agents split work by owner, ask the right person the right question, and keep every answer in one thread.
Billing edits fail after the checkout change
"We updated our card on file yesterday and now every attempt to edit the billing address throws a 422. This is blocking our monthly close."
Parallel simulations before every release
Every change fans out into scenario runs that surface regressions and hold the release gate until expectations match.
checkout/permissions-fixNon-owner sees permission error
Expected explicit access message
Happy path billing update
User updates card and address
Token refresh after SSO logout
Replay auth after forced sign-out
Currency conversion after retry
AUD invoice rolls up to USD correctly
THE WORKFLOW
Shared context compresses triage, diagnosis, and validation.
When the same model carries the issue from intake through QA, the team spends less time re-explaining the problem and more time actually resolving it.
WITHOUT A SHARED MODEL
WITH PLAYERZERO
RECOVERED TIME
THE LEARNING LOOP
Each resolved workflow makes the next one smarter.
The value compounds because the model keeps the decisions, validation, and patterns that would normally disappear into separate systems.
An issue arrives
A ticket, alert, or release question starts the workflow.
Context is assembled once
Signals, code, deploys, and owners are pulled into the same thread.
Agents and teams coordinate
Support, engineering, and QA move together instead of handing work off blind.
The model keeps the lesson
Resolved patterns, decisions, and validation history stay attached to the next workflow.
Resolved incidents, approved fixes, and simulation outcomes stay available to the next workflow instead of restarting from zero.
PlayerZero is building AI to understand, maintain, and operate complex production software.
Recent highlights
Introducing Sim-1
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
ResearchDeja Vu: A benchmark on the ability to predict customer issues before they happen
Evaluating how well AI models can anticipate customer-facing issues before they surface in production.
ResearchDebugging in Partially Unobservable Systems
How AI can diagnose issues in complex systems where full observability is impossible.
Research