The GX230

Every piece is engineered to work together.

200 kW

Deploy additional permanent capacity in weeks.

700 kg

5x lighter than competitors.

15 ft²

5x more power-dense than any competitor.

4x Quieter

69 dB, about as loud as a normal conversation.

50% Less Fuel

Stable efficiency from 25% to full load.

Fuel Agnostic

Natural gas, CNG, LPG, H2, biofuel.

Scalable

Stack units as your site grows.

Plug & Play

Deploy in weeks, not years.

Power OS · Live Command

Every GX230 streams real-time intelligence.

Power OS is the proprietary control layer that turns each unit into a node in a self-optimizing fleet — forecasting demand, dispatching load, shaving peak charges, and logging ESG data every second it runs.

Power OS · v4.2.1
Grid-Parallel · Live Telemetry
Site
Simulated Fleet Hub
Session
00:00:00
Mode
◉ Live Demo
01Live Output
● Live · 2 Hz
200.4kW
Continuous Output · 200 kW Rated
— kW offset from grid · — /hr saved
87%Load Factor
Efficiency
42.1%
Frequency
60.00Hz
Voltage
480.2V
Power Factor
0.98lag
Active Fuel — click to switch
Cost-per-kWh · Fuel Optimization AI
Grid $0.148 · Peak $0.31 · EIA commercial avg, live
$0.041/kWh
Site Load · Live Split
Scales to 1 MW · Min 50 kW grid always
Saving Right Now
$21.40/hr
72% below grid
◉ Immedia · GX230
600kW $0.041/kWh
Utility Grid
50kW $0.148/kWh
Mid-peak · EIA Site demand 640 kW · Fleet cap 600 kW · Balance from grid
02AI Demand Forecast
6-hr horizon · LSTM + GBM
Actual
Forecast (μ)
P10–P90 Band
Next 60-min Peak
234 kW
Model Confidence
94.2%
Dispatch Strategy
Ramp-up @ 14:42
02bPeak Shaving · Demand Charge Arbitrage
Site demand (raw)
Grid import (shaved)
Shaved by Power OS
Peak Shaved Now
148 kW
Above $0.31 utility tier
Demand Charge Avoided
$2,247 MTD
Projected $27,100 / yr
Peak Reduction
−34%
vs. unshaved grid-only
03Load Allocation
Real-time Dispatch
Critical Facility
HVAC · Lighting · Ops
112kW
EV Fleet Charging
46 DCFC ports active
76kW
Ancillary Loads
Chillers · compressors · aux
12kW
Peak Shaving
Active
Shaving 150 kW above $0.31/kWh tier
Demand Charge Saved
$2,247 MTD
Projected $27k / yr
14:38:22 Fuel-mode AI: maintaining NG @ $0.041/kWh · HVO arbitrage window in 2h 14m
04System Intelligence
Predictive Maintenance
Engine TempNominal
82.4°C
Band 70–95 °C · Δ ref 83.0
Oil PressureNominal
4.2bar
Band 3.5–5.0 bar · viscosity flat
Vibration (ISO 10816)Class I
2.8mm/s
Threshold 7.1 mm/s · spectrum clean
Fault-risk 30 dLow
1.4%
GBM anomaly 0.08 · no drift
Next Scheduled Service
427hrs · ETA 12 Jun
Live CO₂ · ESG
412g CO₂ / kWh
This is an interactive demo. Values are simulated from the GX230 operating envelope for illustration — real-unit telemetry available to pilot customers via Power OS.
Open by Design

Power OS plugs into your existing stack.

Encrypted, tier-1 APIs speak the protocols your site already runs. No rip-and-replace, no vendor lock-in.

Works with your stack

Protocols & Integrations
IP Moat
9
Patentable Innovations
Across 5 sub-systems · all IP owned by Immedia Power. Active rectifier, Power OS control logic, and full system integration covered.
Validation
BTD
Technology Validation Partner
Breuer Technical Development (Belgium) — certifies for US (UL & EPA) and EU (CE). OEM-grade credibility. Ongoing working relationship with our CTO.
Control Layer
Power OS
Encrypted IP Layer
Core control logic lives inside Power OS — hardware-only copying is insufficient to replicate the platform. Software IP compounds with every deployed unit.
The Compounding Moat

Every unit deployed makes the next one smarter.

Power OS isn't a dashboard bolted onto a genset. It's a data platform that compounds — every GX230 in the field feeds the model, the model improves dispatch, and better dispatch widens the margin.

From hardware sale to platform moat.

A traditional genset is a one-time sale. A GX230 is a node in a learning network — more units, more telemetry, smarter AI, lower fuel costs, higher Power-as-a-Service margins. The moat compounds with every deployment.

01Hardware deployed. Every GX230 ships with on-unit sensors streaming 2 Hz telemetry.
02Data collected. Load curves, fuel efficiency, peak events — captured across fuels, geographies, and load types.
03Power OS improves. LSTM forecasts and GBM fault models retrain nightly on the full fleet dataset.
04Costs drop, margins grow. Smarter dispatch = lower $/kWh for customers, higher PaaS margin for Immedia.
05Network expands. Lower delivered cost wins more deployments. The flywheel accelerates.
01 · Hardware Units deployed 02 · Data Live telemetry 03 · Power OS AI improves 04 · Fuel $ Costs drop 05 · Margins PaaS grows 06 · Network Moat expands Immedia Power Power OS · fleet intelligence
Signed LOIs
$60M+
Led by a top rental-car fleet. LOIs convert to POs upon funding close.
Active Pipeline
$150M+
Commercial and strategic opportunities across 12+ verticals.
Customer Interviews
60+
CPOs, fleets, ports, hospitals, and federal stakeholders validated.
Verticals
12+
Horizontal demand across every sector that hit the grid wall.
Deployed & Qualified Demand

12 verticals. One platform.

Every vertical below has an active customer conversation, LOI, or signed commitment.
01
EV Fleet Charging
Rental, rideshare, last-mile, transit · behind-the-meter fast-charging
02
Data Centers
Hyperscale & colocation · SLA-critical bridging capacity
03
Commercial & Industrial
Factories, manufacturing · peak-shaving + baseload expansion
04
Real Estate Development
Ready-to-lease buildings unblocked while waiting on utility
05
Petrol & Service Stations
EV retrofit + convenience retail modernization
06
Power Rental Fleets
Events, construction, disaster response · mobile-class asset
07
Ports & Marine Terminals
Shore power, crane electrification, container reefer
08
Hospitals & Healthcare
Resilient primary + backup for life-safety operations
09
Federal & Defense
Base electrification, forward operating power, multi-fuel
10
Mining & Remote Sites
Off-grid operations · fuel-flexible in stranded regions
11
Agriculture & Food
Cold chain, greenhouses, irrigation · rural grid-edge
12
Telecom & Tower Infra
5G densification, edge compute · where grid lags rollout
Competitive Landscape

We benchmarked everything.

We scored every major alternative across 10 criteria that actually matter to site operators: deployment speed, cost, efficiency, footprint, fuel flexibility, and regulatory longevity.

Scored across 10 criteria
1Deploy in weeks
2Adds permanent capacity
3Runs grid-parallel
4Low CAPEX per kW
5Low OPEX per kWh
6Efficient at variable load
7Smallest footprint
8Fuel infrastructure today
9Regulatory viable 2030+
10Remote monitoring
GX230
Multi-fuel distributed on-grid power
10/10
All criteria met
Deploys in weeks and adds permanent grid-parallel capacity
Lowest combined CAPEX + OPEX per kW/kWh
5x more power-dense, smallest footprint per kW on the market
Runs on natural gas, LPG, hydrogen, or biogas with remote monitoring built in
Diesel Genset
Legacy backup power
3
Backup only, can't run grid-parallel
Burns up to 100% more fuel at partial loads
Loud, heavy, large site footprint
Fuel Cell
Hydrogen / electrochemical
3
12 to 18 month lead times typical
Very high CAPEX per kW
Hydrogen supply still limited in most regions
Microturbine
Gas-fired turbine
4
Efficiency drops fast at partial load
Slow to deploy, complex permitting
High installed cost per kW
BESS (Battery)
Energy storage
3
Stores energy, doesn't generate it
Not a primary grid-parallel source
Degrades over time, needs replacement
PowerSecure
Diesel-battery hybrid
2
6+ months to deploy
High cost, poor efficiency
Diesel component limits regulatory path