Production is too complex to explain, and too critical to fail
Production complexity has outgrown human investigation
Systems are growing in complexity as change accelerates, leading to more outages and longer downtime.
AI is making it worse
More systems, more noise, and no clear explanation when things break.
Traditional observability can’t keep up
When incidents hit, teams rely on escalation, guesswork, and hours or days of investigation.
lost annually to downtime across the Global 2000
of executives say customers detect outages first
of developers spend 10+ hours weekly on incidents
This is a causality problem.
Not an observability problem.
Until you can map cause and effect across production, you can’t explain failures
fast enough to reduce downtime
Engine™
World Model™
Search 1K+ hypotheses in parallel to identify root cause across 10+ hops and 100M+ entities. <1% false positive rate
Live map of 100M+ entities: apps, services, and infra, connected across 10B+ causal links.
Autonomously and continuously learns from your runbooks, docs, and live incidents. No manual tuning or markdown required
Distill petabytes of telemetry to 1/100th the size, without losing any causal signals.
Schemaless, read-only, and no sidecars required: API-based capture with push and pull.
Agentic Enterprise Capabilities
Agentless Data Capture™
Causal Indexer™
Knowledge Bank™
Production World Model™
Causal Search Engine™
