PlayerZero brings AI to a new era of software development beyond the code editor.
3x
Faster ticket resolution time
"We can now predict, with much higher confidence, how code changes might impact customers before those changes are ever deployed." — Mu Yang, SVP
90%
Defects found before release
Introducing Sim-1
Our smartest models capable of simulating how code runs
Debug any problem down to a line of code, and make sure it never happens again
The first-of-its kind agentic system that can understand and predict state in large distributed codebases
Codebase & Runtime Awareness
Codebase & Runtime Awareness
Codebase & Runtime Awareness
Navigate, debug, and build across millions of lines of code and hundreds of repos.
Semantic Graphs
Beyond LLMs and ASTs, PlayerZero constructs semantic graphs to map enterprise scale dependencies and feature relationships across any language and architecture.
Deep Thought
Coherence and execution over long time horizons. Agents can iteratively test hypotheses, explore varied problem spaces, and generate thoughtful answers in complex environments.
Contextual Dataset Retrieval
A holistic and context-aware understanding of your product across code, tickets, telemetry, and documentation. PlayerZero continuously reinforces its understanding of your product based on what's happening outside of the editor.
Multi-Repo Awareness
PlayerZero builds a unified graph over multiple granularities on any number of product codebases and in any language. It understands dependencies, architectures and services to enable fast, architect-level understanding of your codebase.
Semantic Graphs
Beyond LLMs and ASTs, PlayerZero constructs semantic graphs to map enterprise scale dependencies and feature relationships across any language and architecture.
Semantic Graphs
Deep Thought
Contextual Dataset Retrieval
Multi-Repo Awareness
Semantic Graphs
Beyond LLMs and ASTs, PlayerZero constructs semantic graphs to map enterprise scale dependencies and feature relationships across any language and architecture.
Semantic Graphs
Deep Thought
Contextual Dataset Retrieval
Multi-Repo Awareness
Proactive agents that simplify and accelerate testing and debugging
PlayerZero works directly with your developers to predict, prevent, and triage issues before they cause problems
Agentic Debugging
Continuously learn from active development and defects, end-to-end reinforcement learning models
PlayerZero continuously learns from your code, telemetry, and tickets to understand the customer impact of code
Tickets
code telemetry
Learning
Debug With Full Context
Compress triage and state capture time
Unify and correlate customer, system, and code context to automatically understand why something broke.
Agentic PR Review
Instant PR feedback increases velocity and gets ahead of bugs
Embedded agents identify, simulate, and predict problems autonomously on every commit and every PR.
Scenario Creation
Continuously learn from tickets, telemetry, and code to remember failure modes and specs for system behavior
Build a memory of system behavior over time to build and maintian your own version of insitutional knowledge.
Tickets
code telemetry
Learning
Scenario Creation
Continuously learn from tickets, telemetry, and code to remember failure modes and specs for system behavior
Build a memory of system behavior over time to build and maintian your own version of insitutional knowledge.
Tickets
code telemetry
Learning
Agentic Debugging
Compress triage and state capture time
Unify and correlate customer, system, and code context to automatically understand why something broke.
Agentic Debugging
Compress triage and state capture time
Unify and correlate customer, system, and code context to automatically understand why something broke.
Agentic PR Review
Increase velocity and eliminate code problems with instant PR feedback
Embedded agents identify, simulate, and predict problems autonomously on every commit and every PR.
Agentic PR Review
Increase velocity and eliminate code problems with instant PR feedback
Embedded agents identify, simulate, and predict problems autonomously on every commit and every PR.
AI-Native QA
Break down knowledge silos
Agentic PR Review
Get instant feedback on every commit and PR to know how changes might impact customers.
Runtime Context
Correlate runtime context in telemetry and tickets to understand why something broke.
Scenario Creation
Every resolved issue becomes a pattern the agent can match next time, reducing re-work and review load.
Institutional Knowledge
The first-of-its kind models that can understand and predict state in large distributed codebases.
Learn from everything but start with code
Dozens of integrations to learn from the systems you already use
Code Base
Integrate into different code bases to start pulling insights
Ticketing
Learn from your documentation, ticketing and tools
Telemetry
Learn from your documentation, ticketing and tools
Code Base
Integrate into different code bases to start pulling insights
Ticketing
Learn from your documentation, ticketing and tools
Telemetry
Learn from your documentation, ticketing and tools
Code Base
Integrate into different code bases to start pulling insights
Ticketing
Learn from your documentation, ticketing and tools
Telemetry
Correlate insights to system behavior, errors, and user telemetry.
Stories from teams who’ve leveled up with our support.
Stories from teams who’ve leveled up with our support.
Discover how we helped organizations streamline workflows, boost performance, and scale faster.
Discover how we helped organizations streamline workflows, boost performance, and scale faster.
40%
Of issues resolved without dev team escalation
40%
Of issues resolved without dev team escalation
40%
Of issues resolved without dev team escalation
Introducing Sim-1: Our smartest models capable of simulating how code runs
Debug any problem down to a line of code, and make sure it never happens again.
The first-of-it’s kind models that can understand and predict state in large distributed codebases.
