Stop Debugging
In The Dark.
Pinpoint
Hyperion automatically identifies root causes, guides remediation based on blast radius, and delivers a ready-to-use evidence pack — in seconds, not hours.
92%
Accuracy
<3s
Root Cause
5-step
RCA Pipeline
Production incidents are handled blindly.
When a service goes down, engineers are left staring at dashboards with no clear signal on where to look first, what is affected, or how much it is costing the business.
4.2 hrs
avg. MTTR
Hours of Manual Triage
Engineers sift through thousands of logs, traces, and metrics manually. Every minute of confusion is direct revenue loss.
$180k
avg. hourly outage cost
No Revenue Context
Teams fix bugs in a vacuum, unable to quantify impact. Wrong priorities mean the most costly incidents wait the longest.
61%
repeat incident rate
Repeat Incidents
Without a searchable history of past incidents and fixes, teams keep solving the same problems from scratch.
How Hyperion finds the cause.
Step 01
Data Ingestion
Collects distributed traces, service metrics (latency, error rate), deployment events, and infrastructure signals from your existing stack.
Signals & Components
What Hyperion
automates.
Every capability is designed for one goal: get engineers to the right fix, faster, with context that matters.
Root Cause Analysis
Automatically links distributed traces, logs, and metrics to pinpoint exactly what broke and when — with a confidence score.
Impact Mapping
Connects technical failures to product metrics, showing real-time user drop-off and estimated revenue loss per incident.
Incident Evidence Packs
Generates a searchable, shareable bundle of evidence, causal chain, and recommended fixes — ready for post-mortems and audits.
Dependency Graph Builder
Dynamically constructs your service topology from live trace data — no manual YAML, no stale diagrams.
LLM-Powered Explanations
An AI-generated narrative explains the full causal chain in plain English, ready to share with engineering leads or executives.
Searchable Incident History
Every incident is stored and indexed. Surface past fixes in seconds to prevent repeat incidents and accelerate onboarding.
Built on a 7-phase prototype.
Demo Application
Telemetry Layer
Hyperion Core
Intelligence Layer
SRE Dashboard
Technology Stack
Frontend
Backend
Observability
AI
Infra
Data Sources
Deployment
Fully containerized with Docker. Deploys to any Kubernetes cluster. Built for cloud-native environments.
Early prototype. Strong signal.
92%
Root Cause Accuracy
on controlled incident dataset
<3s
Time to Root Cause
end-to-end pipeline latency
7
Build Phases
structured, ship-ready roadmap
5-step
RCA Pipeline
from ingestion to evidence pack
Build Roadmap
Built by engineers,
for engineers.
A focused founding team obsessed with making on-call less painful and production more observable.
Let's build the future
of incident response.
We're looking for partners who believe that AI can eliminate the hours engineers waste on manual triage. If that's you, let's talk.
No pitch deck spam. One conversation. That's it.