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Playground
Takes production
incidents end-to-end.
The SRE Orchestrator turns noisy alerts and tickets into structured investigations — forms and tests hypotheses, finds root cause across every domain, remediates under your guardrails, verifies recovery, and learns. A role, not a person: always-on across the whole estate, no personal inbox.
Talk to us about pricing →
See the Coworkers
The incident lifecycle

Detect. Investigate. Diagnose.
Remediate. Verify. Learn.

The orchestrator runs the entire loop as one coherent workflow — the toil a
human on-call engineer would otherwise carry, done in minutes.
01 · Detect
Group the noise
Dedupe and group related alerts, tickets and out-of-band requests into one investigation.
02 · Investigate
Test hypotheses
Form hypotheses and test them against logs, metrics, traces and prior incidents.
03 · Diagnose
Root cause
Trace the causal chain across every domain, with evidence and a confidence score.
04 · Remediate
Apply the fix
Roll back, revert, scale or restart — directly, or handed to a coding agent, under guardrails.
05 · Verify
Confirm recovery
Re-check the signals that fired the incident and hold a stability window before closing.
06 · Learn
Update the model
Fold the incident into the service map, runbooks and knowledge — faster next time.
Unified cost data layer
Infrastructure, AI and datacenter —
one graph.
The CERNE™ control plane unifies DCIM, AIOps, HCMP, FinOps and GreenOps, so
you can ask cross-domain questions no cost-only tool can answer.
Broad coverage
Azure, AWS, GCP, OCI, private cloud and datacenter — discovered and normalized automatically.
12-layer analytics
A dedicated FinOps layer among many — team budget burn, model mix, and cross-team ROI.
Cross-domain intelligence
Relate a GPU cluster’s power cost to its token spend — one question, one answer.
Investigate & diagnose
Evidence-backed root cause, not guesses.
Specialist Coworkers investigate in parallel across code, infra and telemetry — proposing and ruling out hypotheses against the evidence, then synthesizing one explainable root cause.
  • Parallel multi-agent investigation across
    domains
  • Hypotheses tested against logs, metrics, traces & prior
    incidents
  • Cross-domain RCA a network symptom that's really a storage problem
  • Explainable, evidence-linked summary with a confidence
    score
investigating · payments-api p993 hypotheses
Storage IO saturation → replica lag92%
Deploy regression b7f3a2c41%
DB connection pool exhaustion18%
✓ root cause: storage-fleet IO saturation · evidence: 6 signals across net · storage · db
Governed actions
It doesn’t just tell you — it
fixes it.
The orchestrator executes real remediation through your tools, inside the guardrails and approval policies you set.
Nothing runs outside the lines you draw.
Silence & route alerts Roll back deploy Revert commit / flag Scale & rebalance Restart service Open a PR Run GitHub workflow Post to Slack / ticket
● auto within guardrails  ·  ● requires approval  ·  steer every action from the Workbench
Verify & learn
Confirms the fix. Gets better
every incident.
Verify recovery
Re-checks the exact production signals that triggered the incident and holds a stability window before it calls the incident resolved — with a full audit trail and timestamps.
Learn & improve
Every investigation updates the service map, runbooks and knowledge base — so the next one starts with more context, higher accuracy, and less time to resolution.
A living model of your estate
Grounded in your topology,
telemetry & tickets.
The orchestrator reasons on a current model of production — service map, dependencies, deploy
patterns, failure modes and ownership — that updates continuously.
Service & dependency map
Auto-discovers topology, traffic flows, hidden dependencies and ownership across the estate.
Deep integration
Connect natively to your platforms for a rich, always-current model — Kubernetes-native, read-only in-cluster agent.
Light discovery
No deep integration required — Lumi rebuilds a knowledge graph from the incidents and signals you already emit. Value in days.
Prevention
Catch reliability risk before it
pages you.
Change intelligence
Correlates deploys, flag flips and config changes to risk — so a bad change is caught, not chased.
Pre-alert investigation
Watches telemetry and opens an investigation before the alert fires — buying you time, not surprises.
Auto-generated PRs
Surfaces pre-production risks and drafts the fix as a pull request for your team to review

One coordinated team

Owns the incident. Pulls in the
right specialists.
The orchestrator directs a bench of specialist Coworkers — and hands routine
code fixes to your coding agents with full context.

Organizational

SRE Orchestrator

The lead. Owns the incident end-to-end and coordinates the specialists. A role, not a person — always-on, company-wide, no personal inbox. Hands off routine fixes to coding agents (Claude Code, Cursor, your own) with full context.
Network

Connectivity & routing

Compute
Virtualization & hosts
Storage
Data & volumes
Database
Data services
Security
Security operations
Cloud Ops
Cloud estate & FinOps
Works with your stack
Turns up on the tools you already run.
50+ integrations across observability, incident, cloud, code, knowledge and collaboration
— plus on-call and background agents that never sleep.
Observability
DatadogPrometheusGrafanaCloudWatchSplunk
Incident & on-call
PagerDutyOpsgenieincident.io
Cloud & K8s
AWSAzureGCPKubernetes
Code & CI
GitHubGitLabTerraform
Collaboration
SlackTeamsJira
Knowledge
RunbooksConfluenceNotion
On-call agent
Triages every alert and posts findings before you’re paged — silences noise and routes to the right team.
Background agents
Deployment monitoring, operational reports and resource/cost optimization — on a schedule or a trigger.
Coding-agent handoff
Hands routine fixes to Claude Code, Cursor or your own agents with full context — traces, logs, service map.
Under the hood
Ask in plain language. The
orchestrator does the rest.
No query language, no dashboards to hunt through. A private LLM, a unified
data model of your estate, model orchestration, and an agentic execution
engine — closing the loop from detection to resolution.
lumi — investigate
ask "why is payments-api p99 spiking in eu-west?"

# parallel agents build a live model & test hypotheses
investigate net · compute · storage · db
  → storage-fleet IO saturation 92%
  → replica lag cascading to payments-api

remediate --guardrails
  → rebalance storage-fleet (+3)
  → rollback #2291 · verify p99 recovered

✓ resolved 3m12s · stable 15m · 0 human minutes
Private LLM
In-boundary reasoning on your environment — never the public
internet.
Model orchestration
Frontier plus domain-specialized models, the best model per task, continuously evaluated.
47→1
alerts to signal
92%
root-cause confidence
500+
curated skills
Agentic execution engine
Turns a decision into a fix — governed action, bounded by the
guardrails you set.
Outcomes
Replace hours of toil with a $25
resolution.
up to
70%
lower MTTR — the investigation loop, gone
up to
90%
less alert noise from grouping & triage
2–3×
engineer productivity across daily ops
~2 wks
to a value-proving POC
$25
per investigation vs a ~4-hour human effort
A resolution that takes an engineer ~4 hours comes back as a $25 investigation. It’s labor arbitrage — validate it, and take the toil out of the loop.
Per estate

Priced on the estate it runs.

An annual platform fee by estate size, then a per-investigation fee
— with steep discounts as you commit volume.
Platform fee
per year · by estate size
$50K
Small
$100K
Mid
$200K
Large

Then per investigation

pay as you go
$25 pay-as-you-go
$20 / $16 / $12 at 10K / 50K / 200K committed / yr

$8 volume · 1M+ / yr

See full pricing →
The portfolio
First of three estate-wide
Orchestrators.
SRE Reliability Available
Security Threat & compliance Next
FinOps Cloud cost & governance Following
Get started
Turn up your
SRE Orchestrator.
An always-on reliability function for your whole estate — detect to learn, under your guardrails.
Value-proving POC in about two weeks.
Talk to us about estate pricing →
See how it works
Deep integration or light discovery · Governed actions · You stay in command
Lumi logo
One control plane for hybrid and multicloud operations — agents, orchestration, and observability in one place.
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Autonomous ITOps platform powered by an AI Coworker, SRE Orchestrator, and Agent Builder
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Chat instead of ten dashboards — your coworker does the work.

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One engine coordinating reliability, security, and cost.

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© 2026 – 2027 LumiOps.AI. All rights reserved.

© 2026 – 2027 LumiOps.AI. All rights reserved.

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