InvictaIIPO
PlatformHow it worksCoverageSavings
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Live across 9 sites · 412 nodes monitored

Know exactly where your power goes —
and cut the waste automatically.

Invicta watches every server, UPS, cooling unit and power strip in real time. It catches energy waste and looming failures the moment they appear — then acts on them for you, so you pay less for power and avoid the outages no one saw coming.

Book a demo →See the platform
◦ Agent deploys in < 5 min◦ 10–20% typical energy savings◦ Multi-tenant & on-prem ready
Power OverviewAll sites · last 24h
2.41 MW⌁
Live load
2.41 MW
Today cost
€4,820
Savings
14.2%
Open alerts
3
Power · measured vs forecastmeasuredforecast
00:0012:00now
Anomaly feed
Thermal2m
rack-B12 inlet 31°C → throttle suggested
Idle9m
web-07 idle overdraw · 142W wasted
Forecast14m
site-PAR peak +8% in 60 min
Resolved22m
HVAC-3 setpoint +1.5°C applied
Nodes online407 / 412
kWh saved · 24h3,418
Anomalies caught1,284
Actions auto-run312
Avg PUE1.34
10–20%
Energy savings, closed-loop
<30s
Telemetry interval, per node
60min
Ahead power forecast horizon
4tier
Site → Building → Room → Rack

The platform

From raw watts to the right action

Six tightly-coupled modules turn a stream of telemetry into prevented failures and lower bills.

⚡

Telemetry ingestion

A lightweight agent reads CPU, RAM, disk, network and power — IPMI, Intel RAPL, or estimate — and streams it every 30s.

◎

Anomaly detection

Thermal spikes, zombie processes, idle overconsumption and power spikes flagged synchronously on every ingest.

◢

Power forecasting

A 60-minute-ahead trend forecast with a confidence band, so you stage capacity before the peak lands.

◈

Predictive maintenance

Per-component ETA for thermal and memory drift, with isolation-forest outlier detection fitted per server.

▣

Policy-gated actions

Setpoint, idle-suspend and throttle changes pass rate-limit and guardrail checks, snapshot state, then apply — fully reversible.

✓

Work orders

When a problem needs hands — a battery swap, fan inspection, fuel refill — Invicta generates a field-tech work order, idempotently.

The loop

Four steps, closed automatically

01

Collect

Agents & collectors push server, UPS, HVAC, generator and PDU readings to the ingest API.

02

Detect

Anomaly checks and forecasts run on every reading; predictors estimate failure ETAs.

03

Decide

The suggester proposes actions; policy guardrails approve, block, or route to a human.

04

Act & revert

Changes apply with a state snapshot, so any action can be rolled back cleanly.

Write-side, with guardrails

Every change is gated, logged, and reversible

Before anything touches your infrastructure, the policy engine checks rate limits, single-active-per-target, time-of-day windows and setpoint guardrails. State is snapshotted first — so any action can be rolled back cleanly.

set_cooling_setpointsuspend_idlethrottle_workloadrestart_service
act-4471 · throttle_workloadpending
pending
approved
executing
succeeded
✓Rate limit · 2 / 10 per hour
✓Setpoint within guardrail · 18–27°C
✓Rollback snapshot stored

Coverage

Every box in the room, one pane of glass

Driver-based collectors speak to the equipment you already own — APC, Raritan, SNMP and more. No hardware? Mock drivers run a full demo. Multi-tenant by design, with database-per-tenant isolation.

Per-outlet watts override estimated server power with measured PDU values
Role-based access — admin, operator, viewer — re-checked on every write
Full audit trail on every state-changing request, denormalized to survive deletes
Servers
UPS
HVAC
Generator
PDU
GPU

The math

A typical 1.5 MW facility

Monthly energy spend before and after the closed-loop optimizer, at €0.18/kWh.

Before Invicta€148,000
With Invicta€127,000
€252ksaved per year · 14.2% lower
Where the savings come from
Idle reclaim€7.4k · 35%
Cooling optimization€6.1k · 29%
Peak shaving€4.8k · 23%
Failure avoidance€2.7k · 13%

See your own load in Invicta

Spin up a tenant, point an agent at one rack, and watch the savings model populate in minutes.

Book a demo →Open the console

Questions

The things ops teams ask first

The agent reads true draw via IPMI (dcmi power reading), falls back to Intel RAPL, then to a calibrated linear CPU-load estimate. Where smart PDUs are present, measured per-outlet watts override the estimate entirely.
InvictaIIPOIntelligent Infrastructure Power Optimizer© 2026 · invicta.neturex.tech