Intellium AI

Enables a sensor operator to go from 'I have seen something' to 'I can contribute an AI-ready report with high confidence.'

AI-ready target data, generated and validated at the source.

Every sensor on the battlefield produces data. Operators detect and report from the field: ISTAR, BDA, counter-fires, counter-UAS.

The question is whether the first report accelerates decision-making or creates work for headquarters. Grid errors weaken counter-fires. The data reaches the network wrong, and every system downstream inherits the error.

AiSource gives operators structured workflows with validation built into the form. Raw observation becomes machine-readable target data before it touches the network.

Capture

Structured workflows for Sighting, BDA, HLR, GMTI and counter-UAS reporting. Guided equipment recognition from authoritative naming. Validation built into the form.

Assure

Grid sanity-checking against bearing and range. Equipment-parametrics testing. Schema and completeness checks. Configurable rules engine.

Integrate

Multi-standard output: chat and XMPP today, APP-11(E) as the ecosystem matures. One capture, many standards.

Published in the standard each programme requires

One capture, many standards. AiSource generates and validates at source, then publishes in the format each programme consumes, so the same report reaches the DTW ecosystem, an ASGARD ontology and a SitaWare picture without manual reformatting.

ProgrammeStandard
DTWSAPIENT and APP-11
ADDIAPP-11(E)
ASGARDPalantir Ontology (on roadmap)
Land ISTARZodiac SDL
XMPP / ChatMOD Schema
BCIP modernisationApp-6D
TLANMIL-STD-2525

These platforms auto-populate data from [tactical chat] into [the battle management application], removing the need for the end user to manually populate information on to the CIP layer.

Intelligence Officer (OF-3), Exercise ARRCADE STRIKE.

WARFIGHTER EXERCISE

4 chatrooms, 2,739 messages.

272 targets surfaced.

Live integration with the in-service battle management application.