Intelligent edge infrastructure for the physical-AI future

The physical edge that sovereign AI needs.

CUBICAi is an intelligent edge-infrastructure platform — modular, mobile cubes that fuse energy storage, edge compute and sovereign inference, and run themselves where there is no data centre, no reliable grid, and no option to trust a cloud.

72h  autonomous ops 275  TOPS edge AI per cube CIM  grid-native Air-gap  sovereign inference
Why CubicAi · Why now

Physical AI is the next sovereign-AI wave.

Every bullish humanoid, autonomous and defence-AI forecast assumes the site is ready. It isn't. The customers that matter most — defence, mining, utilities, critical infrastructure — operate where the compute can't sit in a data centre. That gap is the product.

CubicAi is the physical-edge layer that completes the sovereign-AI stack — sovereign compute, edge LLMs, physical AI, and the site substrate that keeps it all running.
$100B
Humanoid & physical-AI market by 2035 · Goldman Sachs
$329B
Digital twin market by 2033 · Grand View Research
$6.8T
Defence drone market by 2034 · Fortune Business Insights
5
Uptime-critical verticals where cloud-dependent rivals can't compete
The convergence

Three industries are collapsing into one.

CubicAi sits at the point where energy, autonomous infrastructure and AI-driven operations meet — a single platform where each reinforces the others instead of being stitched together by integrators.

Energy

Storage, power conversion, grid services and VPP participation — the resilient power layer every edge site depends on.

×

Autonomous Infrastructure

Self-configuring, forklift-portable cubes that deploy, relocate and reposition themselves with zero human intervention.

×

AI Operations & Maintenance

Physics-informed models that predict, self-heal and optimise — performance managed in software, not service contracts.

= Intelligent edge infrastructure for the physical-AI future
Our solution

Intelligent infrastructure that thinks for itself.

CubicAi embeds its AI technologies directly onboard innovative energy and edge-AI cubes — purpose-built modules that deploy in hours and run autonomously, online or off.

01

Modular Cubes

Four cube variants on a common Smart Base — interchangeable modules deployed as a single unit or clustered together.

02

AI in Every Cube

An NVIDIA Jetson AGX Orin delivering 275 TOPS with onboard LLMs — full autonomous operation offline, sub-100 ms response.

03

Hybrid Cloud Fleet

Fleet orchestration and aggregation generating VPP energy and edge-AI service revenue, with predictive-maintenance insight.

04

Zero-Touch Automation

Auto-discovery and self-configuration — deploy in hours, not days, with automatic diagnostics, maintenance and logistics.

One platform, the whole stack —
Hardware Software AI Models Autonomous Logistics O&M Performance Services Finance
Our platform

One family of cubes. Three tiers of AI.

All cubes share the Smart Base — IP55, −40 °C to +50 °C, forklift-portable. Connect two to four into a cluster to pool storage, power and edge compute.

eV Cube

180–540 kWh · 180 kW

Dual-port DC fast charging for fleet depots and mobile charging applications.

Flex Cube

360 kWh BESS

Pure storage configuration for cluster capacity, battery swap and grid-services buffering.

Edge Cube

180 kWh · 275 TOPS

24U of AI-ready rackspace — host up to 10 partner GPUs plus private 4/5G, indoor or outdoor.

Power Cube

180 kWh · 100 kW

PCS for solar and grid plus genset backup for critical resilience and black-start capability.

From one cube to a continent

The same intelligence, at every scale.

One AI-driven software platform manages cubes, clusters and mesh networks alike — aggregating distributed hardware into a single, software-defined pool of virtual infrastructure.

Tier 01

Cube

A self-contained, AI-managed unit — energy, compute and inference in one forklift-portable enclosure.

Tier 02

Cluster

Two to four cubes sharing storage, power and edge compute over a common bus — pooled capacity, orchestrated as one.

Tier 03

Mesh Network

Clusters federated across sites and geographies — a resilient, self-coordinating fabric with no single point of failure.

Outcome

Virtual Infrastructure

Highly distributed hardware presented as one software-defined platform — power, compute and AI summoned where they're needed.

72h
Autonomous operation
275
TOPS edge AI
2–4h
Commissioning vs 6–16 weeks
−40°C
to +50 °C rated
Our core differentiator

Zero-Touch AI is the advantage.

Our edge runs on deep device- and system-level AI models — the foundation our whole platform is built on. That knowledge is what makes the infrastructure self-managing. Four capabilities run natively on every cube, each replacing a system-integrator workstream that costs operators millions a year.

Zero-Touch O&M

Operations & Maintenance

Physics-informed neural networks predict failures 30 days out. Self-healing failover and onboard thermal-runaway prevention.

0.87%
SOH prediction MAPE
25–40%
battery-life extension
<10ms
anomaly latency
Replaces O&M contractors · SCADA vendors · OEM service contracts
Zero-Touch Logistics

Logistics & Mobility

Autonomous positioning, BESS swapping between cubes and automated delivery scheduling — the fleet configures itself as demand moves.

72h
autonomy per cube
1.6m
forklift-portable
Zero
human intervention
Replaces logistics coordinators · mobile-site SIs · field technicians
Zero-Touch Manufacturing

Advanced Manufacturing

An ePlan-to-Powerhouse digital panel flow. The AI configurator sizes, schematics and ships — auto-commissioning from pallet to grid-parallel.

2–4h
vs 6–16 weeks
50%
deployment efficiency
25%
cost reduction
Replaces design engineers · procurement brokers · commissioning consultants
Zero-Touch Orchestration

Energy · Heat · Compute

Triple optimisation — workloads scheduled against battery SOC, thermal envelope and grid-pricing signals at once. VPP, VDC and virtual thermal plant in one loop.

dimensions per loop
IEC 61850
CIM / IEEE 2030.5
Edge→Cloud
federated tiers
Replaces DERMS vendors · DCIM platforms · HVAC controllers
Operator impact

Zero-Touch is the whole point.

Every cube ships with the full suite running. That is why an integrator-ready cube is a complete answer — not a component a consultant has to configure at every site.

Traditional BESS / Edge site
Zero-Touch Cube
Commissioning time
6–16 weeks · multi-vendor SI engagement
2–4 hours · auto-discovery, self-config
Ongoing O&M
Annual SCADA + OEM service contracts
Physics-informed AI, 30-day failure prediction
Site relocation
Decommission + re-commission project
Forklift, tow, reboot — autonomous re-positioning
Grid-services revenue
DERMS integration project per market
IEC 61850 / IEEE 2030.5 native, day-one stacking
Cloud dependency
Optimisation stops when the link drops
72h full intelligence air-gapped, on-device LLM
Operator interface
Multiple vendor dashboards, ticket queues
Natural-language operator assistant
Note for integrators: your team doesn't burn its bench on commissioning and integration projects — it lands on cubes that already work and builds customer-specific applications on top. Higher-margin work, faster deployments, happier customers, and more opportunity for enterprise AI applications.
Energy-aware edge infrastructure

Sovereign AI, delivered where it matters.

We partner with utilities and telecoms to deliver sovereign edge AI, resilient energy and private comms — a layered stack from substrate to application.

Customer AI Training Cloud

Model training, complex reasoning, APIs.

Enterprise AI Apps — hosted at the edge

Run third-party AI applications on-site.

CubicAi Orchestration

Energy, compute and network coordination.

CubicAi Edge Cubes

Power, energy, edge and eV cubes — the site substrate.

“AI factories train the models. CubicAi hosts them where it matters.”
HOST
Run third-party apps on an edge-IaaS subscription.
PARTNER
Integrate the best platforms — reduced R&D, faster go-to-market.
BUILD
Own the orchestration — proprietary IP, licensing and data value.
Where we start

Three applications. Three markets first.

The platform is broad — but we're starting deliberately. Three initial applications, each landing in a beachhead market where cubes, clusters and ultimately mesh networks compound fastest.

Application A

Virtual Substations & Charge Hubs

Grid-edge energy nodes — substation support, DER orchestration and high-power charging, delivered as software-defined infrastructure.

First market — Grid Utilities
Application B

Virtual Data Centres

Edge AI inference where the data lives — sovereign compute pools spun up from clustered cubes, no hyperscale data centre required.

First market — AI-Factory Data Operators & Telecoms
Application C

Edge Comms, Sensing & Positioning

Remote sensing, private comms and autonomous positioning hubs — resilient, air-gap-capable nodes for contested and disconnected environments.

First market — Defence & Telecoms
The broader opportunity

Where uptime is non-negotiable.

Beyond the beachheads, five high-value verticals where offline autonomy, mobile deployment and integrated power-compute are requirements, not nice-to-haves — and where cloud-dependent competitors fundamentally cannot compete.

Market
Key value proposition
Defence & Emergency Response
Air-gap capable, tactical edge AI for forward operating bases and disaster zones.
Transmission, Utilities & Comms
VPP orchestration, FCAS/FFR participation and DERMS-compatible integration.
Advanced Manufacturing & Robotics
Secure, low-latency, easily reconfigured distributed AI infrastructure.
Autonomous Transport Hubs & Ports
EV fleet charging optimisation, V2G revenue and depot microgrid orchestration.
Mining & Remote Natural Resources
Autonomous fleet AI & comms, fuel displacement and remote microgrid optimisation.
Ecosystem

Built with the partners who run the world's infrastructure

CohereNVIDIANokia
Proof of concept

Let's put a cube on the ground.

Pilot programmes, technology integration and channel partnerships — for organisations ready to transform critical infrastructure.

Book a discovery call →
01

Discovery Call

A short discussion of your requirements and use cases.

02

Technical Deep Dive

Architecture, integration and deployment planning.

03

Pilot Proposal

A custom deployment plan with clear success metrics.

04

Agreement

Finalise terms and begin with a dedicated support team.