Pythia is an AI-powered incident investigator for distributed systems. It tells you whether the fault is in your infrastructure or your product code — and when it's infrastructure, it tells you exactly what broke and gives you a workaround while the fix is in progress.
"At Delphi, the Oracle didn't rewrite your battle plan — she told you what was actually blocking your path."— Pythia doesn't fix your code. It tells you whether to fix your code, or fix your infrastructure.
Most incidents are not bugs in application code. They are failures in the environment surrounding that code — and that distinction matters.
For these, Pythia identifies the root cause and suggests an immediate workaround — so the system can recover while the permanent fix is prepared.
For these, Pythia draws the line: it names the service, the affected code path, and the symptom — then hands a focused brief to the engineer who owns that service. No guessing, no sprawling war room.
Pythia was the high priestess of Delphi — the most trusted oracle in the ancient world. You brought her a question and she gave you an answer, drawn from signals invisible to ordinary observers.
Modern distributed systems generate that same kind of chaos: cascading failures, polyglot services, alerts without context. Pythia reads the signals — logs, metrics, traces, topology — and tells you what actually broke and why.
Pythia runs entirely inside your cluster. No data leaves your environment.
Pythia installs as a single pod in your cluster. It reads your Kubernetes service topology and packages your deployment manifests — no code instrumentation required.
Paste an error message, alert text, or log line. Pythia identifies the source service and expands the blast radius — discovering every upstream and downstream dependency that could be involved.
Autonomous agents collect logs, metrics, traces, K8s events, and deployment state from every service in scope. Signals are correlated across the graph to surface what changed and where the fault originated.
If the fault is in infrastructure — a dependency down, resource exhaustion, a bad deploy — Pythia names it and offers an immediate workaround. If the fault is inside product code, Pythia draws the boundary: this service, this behaviour — and hands off to the developer who owns it.
An alert fires. Three services are red. You have no idea which one is the cause and which are victims of a cascade. Pythia maps the blast radius and points at the origin — before the incident runs long.
Your team owns the platform, not every service running on it. When product teams escalate, Pythia gives you the service graph context, recent deployment events, and log correlation you need — even for services you've never opened.
Every hour of P0 burns engineering attention and erodes user trust. Pythia compresses the investigation phase so your engineers spend less time in war rooms and more time on fixes and prevention.
Pythia builds the service graph from your Kubernetes manifests and live cluster state — no manual wiring required.
Works across Go, Java, Python, Node, .NET, Ruby, Rust — any language stack running in Kubernetes.
Pythia distinguishes infrastructure faults (dependency down, resource exhaustion, bad deploy) from product code bugs — and only attempts to resolve the former. The latter gets a precise, scoped handoff.
Logs, Prometheus metrics, distributed traces, K8s events, and deployment history — correlated together, not in separate tabs.
Use a local model via Ollama for full data sovereignty, or connect to Claude or OpenAI. Your data never has to leave the cluster.
Every past investigation, runbook note, and design doc is vector-indexed and surfaced when relevant — so context from the last incident informs the next.
Pythia ends the war room guessing game — it tells you whether to roll back a deploy, restart a dependency, or hand a scoped bug report to a developer. Every time, in minutes.
Get in touch →