AHEAD Edge
Enterprise Agentic AI Platform

An AI workforce the organisation owns, working inside every system it runs. Agents on the organisation's own hardware read the systems already in place, propose the action and carry it out once a person approves. On the factory floor, in the back office and on the sites that must keep running when the uplink is down.

SCHEMATIC, PRODUCTION LINE WITH EDGE UNITS AT THE MACHINE
Rev 2026.08
INDUSTRIAL OPERATIONS

100

MS
DECISION TIME AT THE MACHINE
The problem

The line produces more data than anyone can act on in time. Cameras, PLCs and sensors report everything, and the decision still arrives as a report a week later, after the defect has shipped and the machine has stopped.

Our answer

Agents on the cameras, sensors and PLCs already installed take the decision at the machine in under 100 milliseconds: the defect is caught on the line, the failure predicted before the stop, safety and energy watched on the same system, the shipment followed through the yard. Nothing already installed is replaced, and a person approves any action that changes the process.

AGENTS
Vision, predict, process, safety, logistics
RUNS ON
NVIDIA Jetson at the machine, RTX nodes on site
STANDARDS
Any camera, PLC or robot, OpenAPI, OCI containers
ENTERPRISE OPERATIONS

100

%
OF THE DATA STAYS INSIDE THE ORGANISATION
The problem

The organisation's knowledge sits in documents nobody can search, and the AI that could read them lives outside the building. Contracts, procedures, supplier files and drawings are spread across ten systems, and every cloud copilot asks for them to leave the organisation first.

Our answer

Private models trained on the organisation's own contracts, procedures and records draft and review documents, screen suppliers and partners, and answer questions with the page they came from, all on the organisation's own hardware. Every action is routed to the person who signs it off, and every decision is logged with its sources.

AGENTS
Documents, contracts, compliance, knowledge
RUNS ON
On-premise GPU nodes, open-weight models
STANDARDS
OAuth2 and OIDC, audit trail on every action
CERTIFICATION
ISO/IEC 27001 SECURITY MANAGEMENT
Schematic · BACK OFFICE ON A PRIVATE GPU NODE
Rev 2026.07
Schematic · CRITICAL SITE WITH AIR-GAPPED CORE
Rev 2026.07
CRITICAL SITES AND INSTITUTIONS

24/7

DECISIONS TAKEN ON SITE, WITH OR WITHOUT THE UPLINK
The problem

When the uplink drops, the intelligence drops with it. Cloud-hosted analytics stop at the worst possible moment, and the data that should never have left the site has already left.

Our answer

The platform runs on site, on-premise or fully air-gapped, keeps its own state when the uplink is gone and resynchronises when it returns. Perimeter, access, fixed sensors and the site's own systems come into one live picture, every decision is taken locally and logged, and the data stays inside the site and inside the country.

AGENTS
Perimeter, access, sensors, site systems
RUNS ON
On-premise or air-gapped core, store-and-forward
STANDARDS
Data stored locally, decision log, human approval
SPECIAL PROJECTS

1

FEDERATED SYSTEM
SENSORS, PLATFORMS AND LINKS, BUILT FOR ONE SITE
The problem

A large or critical site ends up with ten vendors and no single system. Cameras from one, sensors from another, an unmanned platform from a third, a radio link from a fourth, and nobody responsible for how they work together on the day it matters.

Our answer

Unmanned platforms, robotic lines, sensor networks and dedicated communications are integrated as one system for one site, with the scenario designed together with the client. The AI runs at the edge with no connection required, every decision is logged and approved by a person, and the engineers who built the system operate it afterwards.

AGENTS
Site awareness, platform coordination, incident response
RUNS ON
Edge units on platforms and masts, air-gapped core
STANDARDS
Dedicated links, decision log, human approval
SCHEMATIC, SPECIAL PROJECT SITE AS ONE SYSTEM
Rev 2026.07
Capability matrix

One Agentic AI platform
Four environments

INDUSTRIAL OPERATIONS
ENTERPRISE OPERATIONS
CRITICAL SITES
SPECIAL PROJECTS
AGENTS
Vision, predict, process, safety, logistics
Documents, contracts, compliance, knowledge
Perimeter, access, sensors, site systems
Site awareness, platform coordination, incident response
RUNS ON
NVIDIA Jetson at the machine, RTX nodes on site
On-premise GPU nodes
On-premise or air-gapped core
Edge units on platforms and masts, air-gapped core
DECISION
At the machine, under 100 ms
Proposed, then approved by a person
Taken locally, logged
At the edge, no connection required
CONNECTIVITY
Inside the site network
Inside the organisation's network, no cloud
Keeps working with the uplink down
Dedicated links, satellite and radio
OVERSIGHT
Approval gate on process changes
Sign-off on every action
Decision log on every action
Decision log, human approval
STANDARDS
OpenAPI, OCI, any camera, PLC or robot
OAuth2 and OIDC, audit trail
Data kept in country, ISO/IEC 27001 delivery
Custom scenario per site, ISO/IEC 27001 delivery
DELIVERY
Two weeks from hardware delivery to first inference, our own engineers
Two weeks from hardware delivery to first inference, our own engineers
Two weeks from hardware delivery to first inference, our own engineers
Scoped per site, operated by our own engineers
COMMERCIAL
Perpetual license, or enterprise customization with maintenance
Perpetual license, or enterprise customization with maintenance
Perpetual license, or enterprise customization with maintenance
Enterprise customization with maintenance