REASONING INFRASTRUCTURE
The blackbox for modern software.
Today, teams ship code faster than they actually understand. Modern incidents are no longer observability problems. They are reasoning problems.
What we do
Software systems are changing faster than engineers can fully reason about them. AI-assisted development and rapid deployment have increased the pace of change, but debugging production failures is still largely manual.
During an incident, teams jump between logs, traces, deploys, dashboards, and tribal knowledge — trying to reconstruct what changed and how the failure propagated through the system.
We are building reasoning and remediation infrastructure for production systems that connects those signals into a structured model of the incident and helps engineers narrow down likely root causes faster.
The path of an incident
- 01
Evidence Collection
Pull every relevant log line, trace, deploy diff, and metric series into one timeline, the moment the incident fires.
- 02
Triage
Rank the signals. Surface the symptoms that matter, the services on fire, and the recent changes that look causally connected.
- 03
Remediation
Form hypotheses against the evidence and walk engineers to a fix with the reasoning shown.
- 04
Monitoring
Track the fix in flight. Confirm error rates fall, downstream effects clear, and no new failure modes appear.
- 05
Resolution
Close the loop with a structured post-incident record: causal chain, signals used, decisions made, and the gaps left to harden.
Get early access.
We are onboarding engineering teams in small batches. Set up a call to see how reasoning infrastructure fits your stack.