Anomaly detection
Models your baselines per service and flags drift in latency, error rate or spend — before your pager would even have a number.
learns in ~2 weeksAI operations for deep tech
ORBITAL watches every deployment, learns what normal looks like for your fleet, and fixes the abnormal before anyone has to wake up. One control plane for infrastructure, releases and incidents.
Capabilities
Everything runs through a single learned model of your estate — so the anomaly detector knows your traffic, and the remediator knows your rollback policy.
Models your baselines per service and flags drift in latency, error rate or spend — before your pager would even have a number.
learns in ~2 weeksRunbooks become decisions. ORBITAL rolls back bad deploys, drains hot nodes and scales stalled queues — each action logged and reversible.
human-in-the-loop modesCanary, blue-green and progressive delivery with automatic gate analysis — ships keep moving while the safety checks run.
Git-native YAMLTraces, logs and metrics unified under one query language — and one AI that reads the whole graph instead of grep-ing one box.
OTel-nativeContinuous drift detection against your policies — public buckets, exposed secrets, privilege creep — patched or quarantined automatically.
policy-as-codeTwo hundred connectors out of the box — cloud, SaaS, chat, ticketing and your home-grown internal APIs via a typed SDK.
REST + gRPC + eventsPlatform · live demo
A real terminal session against a simulated fleet — type your own deploy, or watch ORBITAL catch a slow burn on its own.
“We cut on-call toil by 70% in one quarter. ORBITAL found the memory leak two weeks before our own SRE team would have — and rolled back the release itself, with a perfect audit trail.”
Priya Nair — VP Platform Engineering, Meridian PayGet in
We onboard four new teams a week, in order of request. Most are live in under two days — bring one noisy service and we'll prove it on your own traffic.