Stop Debugging
In The Dark.

Hyperion is Logiq's AI Site Reliability Engineering product. It automatically identifies the root cause of production incidents, maps the blast radius across your service topology, and delivers a ready-to-use evidence pack — in seconds instead of hours.

Hyperion runs a 5-step pipeline: it ingests traces, metrics, and deploy events, automatically discovers every service and dependency, localizes the fault using temporal and topology reasoning on the dependency graph, runs domain-specific RCA engines (Metrics, Dependency, Change), and outputs a confidence-scored root cause with full supporting evidence.

Hyperion plugs into signals you likely already emit — OpenTelemetry traces, Prometheus metrics, structured logs, deployment events, and Kubernetes events. It builds your service dependency graph automatically from live trace data, with no manual configuration required.

On our controlled incident dataset, Hyperion reaches 92% root cause accuracy, with end-to-end pipeline latency under 3 seconds from signal ingestion to a ranked root cause.

For every incident, Hyperion returns a ranked root cause with a confidence score, the affected services and causal chain, the estimated business impact, and a recommended action — packaged as an evidence pack your team can act on immediately.

Hyperion is an early-stage prototype with strong signal: the demo system, telemetry pipeline, and dependency graph are complete, and the core RCA engine is actively being built out, with the LLM explanation layer and SRE dashboard next on a structured 7-phase roadmap.

Hyperion is built by Logiq, a team backed by IIMA Ventures. Logiq is currently raising its pre-seed round and working directly with early partners to shape the product.

Reach out through the contact section below — a walkthrough of Hyperion typically takes about 15 minutes and can be scoped to what your last incident actually looked like.