Find the root cause in minutes, not hours.
Designed to replace 2am trace archaeology with an evidence-linked diagnosis.
Timeout spike
errors 0.4% → 7.9%
14 signals correlated
structural deltas only
Downstream rate-limit change
links to its evidence
Circuit breaker
from recorded outcomes
Back to baseline
outcome recorded
Illustrative incident timeline — real pipeline stages
Dashboards show symptoms. Root cause is archaeology.
An engineer still spelunks traces at 2am — and the same failure recurs next month with a different on-call.
Evidence graph in. Diagnosis and fix out.
Incidents are detected from structural telemetry, correlated into an evidence graph, and diagnosed — with the highest-confidence fix from recorded outcomes.
Alert → telemetry → evidence → root cause → fix → verified.
Timeline, evidence graph, fix history, verification.
Detection to verification
Diagnosis you can audit
Hypothesis, with its backing
Never presented as more than it is
Payload-free by contract
Pre-ship gate, reproducible
The same three views, on every product.
An evidence card, a timeline and a trust score — identical components everywhere, so what you learn on one product transfers to the next.
What changes after you adopt it.
Designed to shorten time-to-root-causeWalk into the incident channel with a diagnosis and its evidence.
Repeat incidents stop repeatingVerified fixes are remembered — the second occurrence is cheap.
Customer data stays out of RCAThe payload-free contract makes the privacy conversation short.
Changes verified before they shipA deterministic, air-gapped engine gates non-compliant changes in CI.
Judgment and memory, wired together.
Payload-free by contract
Structure, never content — enforced by the schema.
Evidence graph
Every conclusion points at its supporting signals.
Compounding fix intelligence
Recorded outcomes show which fixes actually worked.
Deterministic verify engine
Air-gapped checks with reproducible, hashed evidence.
OTel-native
Integrates with your stack; replay history to backfill.
Seeded ≠ verified
Cold-start knowledge is marked and capped, always.
A diagnosis is an evidence-backed hypothesis for your engineers — not automated remediation. Confidence reflects recorded outcomes; seeded knowledge is labelled distinctly and capped.