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Cloud economics,
run by an AI FinOps
team.
An always-on FinOps Orchestrator that monitors, analyzes and optimizes your cloud, datacenter and AI spend — from GPU hours to tokens — autonomously, and simulates every change before it applies it. One platform for infrastructure, AI and datacenter cost.
Talk to us about pricing →
See the Coworkers
lumi · finops orchestrator · work stream
Estate-wide · autonomous
✓WASTEidle GPU nodes ×12 →reclaimed$8.4k/mo
✓CACHEprompt cache 41% hit →$3.1k savedauto
RIGHTSIZEaks node pool →-30% (sim)running
✓RATE LIMITgpt-4o spike →capped1m20s
●BUDGETteam-ml 92% burn →capapprove?
$142k/mo tracked → 23% optimized · cloud · datacenter · AI
The FinOps lifecycle
Discover. Detect. Investigate.
Simulate. Optimize. Forecast.
A multi-agent pipeline that runs the full loop — from unifying every cost source to
forecasting next quarter — as one workflow.

01 · Discover

Unify every cost
Cloud, datacenter and AI spend discovered and normalized into one graph.
02 · Detect
Find waste
Idle capacity, anomalies and misconfig surfaced across the estate.
03 · Investigate
Explain the spend
Trace cost drivers — e.g. GPU power vs token spend — across domains.
04 · Simulate
Model before apply
Simulate rate limits and budget caps against historical usage first.
05 · Optimize
Apply the fix
Reclaim, right-size, cache and cap — guided or autonomous, under guardrails.
06 · Forecast
See what’s next
Spend forecasting and budget burn by team, model and user.
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.
AI-specific cost dimensions
Optimize tokens, not just cloud bills.
The LUMI API gateway unifies Claude, GPT, Bedrock, Vertex AI, Azure OpenAI and Google GenAI behind one API — with full cost tracking by model, user and time, and optimization built in.
  • Token, GPU-hour and model-call breakdowns
  • Context saturation & cache-miss cost analytics
  • Intelligent caching with per-user Cache Hero Scores
  • Rate limits & budget caps, simulated before they apply
gateway · spend by modelthis month
claude · sonnet$64k
gpt-4o$42k
bedrock · titan$19k
vertex · gemini$12k
✓ cache hit 41% · $3.1k saved this month · context saturation nominal
Governed optimization
It doesn’t just flag spend — it fixes
it.
Every optimization runs inside your guardrails and approval policies, with 6-level
RBAC, audit trails and simulation before apply.
Reclaim idle resources Right-size & rebalance Set rate limit Apply budget cap Enable caching Purchase commitment Open cost PR Notify owner
● auto within guardrails  ·  ● requires approval  ·  6-level RBAC · simulated before apply · fully audited
Forecast & scenario modeling
Simulate the change before you
make it.
The CERNE™ control plane unifies DCIM, AIOps, HCMP, FinOps and GreenOps, so
you can ask cross-domain questions no cost-only tool can answer.
Spend forecasting
Native forecasting projects spend and budget burn at team, model and user levels.
Simulate before apply
Model rate limits and budget caps against historical usage before anything changes.
API key management
Per-key rate limits and budget caps, lifecycle tracking, and admin impersonation mode.
Build · Run · Operate
Build your own FinOps agents.
Govern them all.
Build
Azure, AWS, GCP, OCI, private cloud and datacenter — discovered and normalized automatically.
Run
A dedicated FinOps layer among many — team budget burn, model mix, and cross-team ROI.
Operate
Relate a GPU cluster’s power cost to its token spend — one question, one answer.
How it compares
All of FinOps — plus SRE, Security
and ITOps.
CapabilityFinoutVantageDigitateLumi FinOps
Unified cost data (cloud + AI + DC)Cloud + AICloud + AIMulti-cloud+ datacenter & DCIM
Multi-agent pipeline3 agentsCo-pilot4 agentsPre-built + custom + lifecycle
AI cost dimensionsTracksTracksPartialGateway + caching + analytics
Governed executionSlack/Jira routingHuman-drivenPolicy-driven6-level RBAC + PAM + audit
Simulate before apply——Forecast onlyYes
Cross-domain (FinOps+SRE+Sec)NoNoNo4 orchestrators, 1 platform
Outcomes
Lower cost. Less toil. One platform.

2–3×

engineering productivity across ops
1 → 4
tools replaced — FinOps, SRE, Security, ITOps
less
toil
repetitive cost work automated
~2 wks
to a value-proving POC
The portfolio
One of four orchestrators, one
platform.
SRE Reliability Available
Security Threat & compliance Next
FinOps Cloud cost & governance This page
Get started
Turn up your FinOps
Orchestrator. team.
Unify cloud, datacenter and AI cost, optimize autonomously under
your guardrails, and simulate every change before it applies.
Talk to us about estate pricing →
See how it works
Simulate before apply · Governed & audited · You stay in command
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One control plane for hybrid and multicloud operations — agents, orchestration, and observability in one place.
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© 2026 – 2027 LumiOps.AI. All rights reserved.

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

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