DiagnaraFrom outage to root cause in minutes.
Diagnara uses governed AI agents to investigate incidents across logs, metrics, APIs, and deployments, with every conclusion backed by traceable evidence.
Critical context is scattered across every tool you own.
During an incident, engineers manually correlate logs, metrics, deployments, API behavior, tickets, and institutional knowledge — under pressure, against the clock. Most AI tools just summarize. They answer without defensible justification. Diagnara investigates instead.
Not a chatbot. An investigation.
Every answer is the result of a structured investigation — with a reproducible reasoning path you can defend to engineering, leadership, compliance, and audit.
Evidence over conversation
Every conclusion links to a cited data point — a log line, metric, ticket, deploy, or contract record. No claim without a source, no source without a tool call.
Protocol over improvisation
Investigations follow versioned runbooks that define the steps, required tools, evidence thresholds, and approval gates — so outputs are consistent and reproducible.
Governance over open access
RBAC, quotas, rate limits, data masking, model routing, and audit events are built in — agents only touch approved tools, within approved environments.
A structured protocol, end to end.
Diagnara turns a signal into a defensible conclusion through five explicit stages — every run reproducible, every step auditable.
Catch the signal, from anywhere
An alert, a Jira ticket, or a manual prompt opens an investigation. Diagnara intakes the signal and scopes it to the right environment.
Run a runbook, not a guess
A versioned investigation runbook defines the steps, required tools, evidence thresholds, and approval gates for this class of incident — executed inside guardrails.
Test hypotheses against real data
Diagnara links evidence across systems, forms competing hypotheses, and validates each against the data — accepting and discarding with reasons.
A conclusion you can defend
The output is a ranked root cause, a confidence label, an impact assessment, and recommended next actions — every claim source-linked and reproducible.
Every investigation makes the next one faster
The timeline, evidence graph, decisions, and report are stored as reusable, auditable knowledge — so when a similar signal returns, the investigation builds on what's known and reaches a confident answer far faster.
Governed, tool-driven, multi-agent by design.
Every input is scoped, every action is policy-checked, and every fact comes from a registered tool — so you can see exactly where your data flows before you ever book a demo.
Inputs
Control plane
Investigation
Governed tools
External systems
Connected to where the evidence lives.
Agents access data only through registered tools — each with permissions, rate limits, timeouts, and human-in-the-loop approval.
Logs
Search and correlate application and gateway logs across services and regions.
Metrics & APM
Compare latency, error rates, and saturation; trace spans across dependencies.
Deployments & PRs
Tie incidents to releases — deploy events, PR diffs, and approval trails.
Tickets
Pull change tickets and incident records to reconstruct context and timeline.
Databases (SQL)
Query production databases and read replicas directly through governed SQL.
APIs
Call internal and partner business services — billing, contracts, and ledger — as governed REST, SOAP, and GraphQL endpoints.
An evidence-backed report, not a hunch.
Every investigation ends in a structured report your whole organization can trust — and auditors can review.
Move faster without giving up control.
Governance isn't an add-on — it's the product. RBAC, quotas, audit, and human-in-the-loop approval are enforced by default, so teams accelerate while compliance stays intact.
RBAC & scope
Admin, Manager, and User roles — every action scoped to approved tools and environments.
Quotas & rate limits
Execution and tool usage are bounded to protect system stability and prevent abuse.
Audit trail
Runs, policy changes, and tool access are logged as immutable, reviewable events.
Human-in-the-loop
Low-confidence, sensitive, or costly actions pause for explicit human approval.
See Diagnara run a live investigation.
Book a guided demo tailored to your incident workflow — from signal detection to evidence-backed conclusion, with full traceability and governance.