Illustration of the Mintelligent neural core

Investor portal · Programme overview

Mintelligent Services

Seven AI modules.
One converged platform.

We are building an applied intelligence platform end to end — the data refinery, the reasoning model, perception, autonomous agents, the safety control plane, the deployment fabric and the enterprise product surface. Each part is a module that stands alone. Together they become one system.

Slide 1 of 8: The platform

The platform

Seven modules converging into one applied intelligence system.

How it works

From raw data to a working system

The seven modules are a pipeline, not a portfolio. Each one hands its output to the next, and the last one turns the whole stack into a product. Step through the pipeline below.

SENTRA — Data is refined and traced

Step 01 · SENTRA

Data is refined and traced

SENTRA is the refinery at the front of the platform. It ingests licensed and permissive sources, deduplicates them at scale, scores every document for quality and toxicity, and attaches a signed provenance record before anything is allowed near a training run.

  • Near-duplicate detection across billions of documents
  • Quality, safety and licence scoring per document
  • Signed provenance chain that survives into model releases

Takes in

Licensed corpora, customer archives, public permissive data

Hands on

Curated, deduplicated, provenance-stamped training shards

Open SENTRA

Investment cap

US$14,300,000 across seven modules

The programme is capped at A$22,000,000, converted at A$1.00 = US$0.65. Select a module to see how much of the cap it carries — or click through to its full detail page.

Cap

US$14,300,000

Allocated

US$14,300,000

Unallocated

US$0

NEXUS CoreFoundation model and inference engine

Open NEXUS Core

Inside the programme

Where the work actually happens

Compute, research and deployment run in parallel across the seven modules.

Training cluster hall with rows of illuminated compute racks

Compute

A dedicated training fleet

The cluster behind NEXUS Core runs at sustained high utilisation, driving the cost per training token down against the original plan.

Researchers reviewing neural network diagnostics on large displays

Research

Evaluation before promotion

Every checkpoint clears blocking evaluations and adversarial suites before it is allowed to move downstream to the other modules.

Enterprise operations centre with dashboards monitoring deployed AI workloads

Deployment

Built to run in production

VERTEX and ATLAS take the platform into customer environments, from datacentre fleets to constrained on-premise hardware.

Module register

What each module does

Every module carries its own scope, delivery team and timeline. Open a module for its full technical detail and capital allocation.

Sparse mixture-of-experts neural network visualisation for NEXUS Core

M01

NEXUS Core

Foundation model and inference engine

In Build

The reasoning substrate every other module depends on: a 70B-parameter mixture-of-experts foundation model with a custom low-latency inference runtime.

62% completeQ3 2025 — Q2 2027
Data refinery pipeline visualisation for the SENTRA module

M02

SENTRA

Data ingestion and synthetic corpus pipeline

In Build

The industrial-scale data refinery that feeds NEXUS: licensed acquisition, provenance tracking, deduplication, and governed synthetic data generation.

74% completeQ2 2025 — Q4 2026
Multimodal perception and reasoning visualisation for the ORACLE module

M03

ORACLE

Multimodal reasoning and vision stack

In Build

Vision, document and sensor understanding fused into the core reasoning loop, so the platform can act on the physical and paper world, not just text.

41% completeQ4 2025 — Q3 2027
Autonomous agent orchestration graph visualisation for the HELIX module

M04

HELIX

Autonomous agent orchestration layer

In Build

Long-horizon agents that plan, call tools, recover from failure, and hand work between each other with a durable execution record.

35% completeQ1 2026 — Q4 2027
Safety, alignment and compliance shield visualisation for the AEGIS module

M05

AEGIS

Safety, alignment and compliance framework

In Build

The control plane that makes the platform sellable into regulated markets: red-teaming, guardrails, evidence generation and jurisdictional policy packs.

48% completeQ3 2025 — Q2 2027
Distributed edge compute fabric visualisation for the VERTEX module

M06

VERTEX

Edge deployment and compute fabric

In Design

The distribution layer: distilled models and a scheduling fabric that run the platform on-premise, air-gapped, or at the edge with the same API.

29% completeQ2 2026 — Q1 2028
Enterprise workspace and API surface visualisation for the ATLAS module

M07

ATLAS

Enterprise interface and integration suite

In Design

The commercial surface customers actually touch: workspace, admin console, connectors, billing and the public API that turns the stack into revenue.

22% completeQ3 2026 — Q2 2028

Signal

Most recent programme updates

Milestone2026-07-18

NEXUS 13B pilot clears internal reasoning gate

The pilot checkpoint passed all twelve blocking evaluations, including the multi-step tool-use suite that failed in April. Promotion to the 70B production run is approved for August.

Financial2026-06-30

H1 FY26 capital deployment report issued

38% of committed capital deployed against a 41% plan. Underspend is concentrated in VERTEX hardware validation, which shifts to H2 following a revised partner schedule.

Commercial2026-06-11

Two additional design partners signed for ATLAS

A logistics group and a regional utility joined the ATLAS design partner programme, taking the cohort to five and covering three regulated verticals.

All updates