An operational layer for teams that need to turn production failures into diagnosis, tested fixes, and reviewable PRs without giving up human control.
Models we run on
7-stage autonomous pipeline from log to draft PR. LLM diagnosis, security-guardrailed fixes, isolated Docker sandbox testing.
Proactive infrastructure monitoring. Detects anomalies in real time and alerts before they become incidents.
Continuous security auditing. Automatic vulnerability scanning across 8 OWASP categories with compliance reports.
Each step generates traceable evidence. Nothing "trust me".
Logs ingested from configured adapters — file, Sentinel, or SSH.
Deterministic detection by regex, thresholds, and absence rules. Zero LLM.
Smart filtering: discards noise and throttles duplicates before diagnosis.
LLM analyzes root cause with multi-provider fallback chain and circuit breaker.
Agent generates fix with 4 guardrail layers: limiter, scanner, AST, imports.
Isolated Docker sandbox runs the test suite. If it fails, reinjects and retries.
Draft PR opened on GitHub/Gitea + notification via email, Slack, or webhook.
Human approves, always.
TriageHub is configured around project volume, isolation level, integrations, SLA, and whether it needs to run in your own infrastructure. At this stage, every plan is defined by consultation.
We map the environment, estimate run volume, and define the right package before any contract is signed.
For validating TriageHub on one real project with controlled scope and close guidance.
For consultancies and teams operating multiple clients with isolation, auditability, and repeatable routines.
For companies with compliance requirements, sensitive data, private networking, or dedicated SLA.
We understand stack, log sources, SCM, and incident workflow.
We run a reduced scope to measure noise, precision, and response time.
We define package, SLA, and deployment from real usage.
Went from 2 hours per incident to 4 minutes. The draft PR arrives ready and I just review it.
The security scanner caught a SQL injection in the proposed fix that I would have missed.
The Evidence Trail is addictive. You see every step of the agent's reasoning in real time.
An operational layer for teams that need to turn production failures into diagnosis, tested fixes, and reviewable PRs without giving up human control.
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