AI solutions for every industry.
We design, build and implement AI, and develop custom algorithms, for organisations in defence, finance, health, mining, government, manufacturing, education and agriculture.
What AI solutions do we build?
We build AI solutions that run on your data and inside your systems: forecasting, optimisation, document and knowledge assistants, computer vision, agents and decision support. We also develop custom algorithms when a generic tool will not fit the problem, and we implement the result so it works with the software and equipment you already run.
Each solution starts with one decision or task, a baseline and a target. You own the code, the models and the data.
Defence and national security
The data and the models must stay under your control. We build systems that run inside your environment, on-premise or fully offline, with the access controls, logging and documentation your security team expects.
- Secure knowledge assistants that answer from your own documents, with citations, running offline
- Predictive maintenance and logistics forecasting for vehicles, vessels, aircraft and equipment
- Imagery and sensor analysis, with anomaly and change detection that supports human analysts
- Security testing of AI models before they connect to anything sensitive
- Quantum-safe cryptography planning for long-lived data
Financial services
Banks, insurers and super funds need AI they can explain to a regulator. We build models with documented data lineage, testing and human oversight, and align governance to APRA CPS 230 and the Australian Privacy Principles.
- Risk scoring and early-warning models
- Fraud and anomaly detection
- Document and contract extraction for operations teams
- Customer-service assistants with cited answers
- Model governance, testing and evidence for audit
Health and life sciences
Genomic and cell-biology data need AI that respects both the science and the privacy rules around it. We build analysis pipelines, knowledge search and prediction models for research and operations teams.
- Genomic and cell-biology data analysis pipelines
- Literature search and knowledge assistants for research teams
- Image and laboratory data analysis with computer vision
- Demand forecasting and scheduling for services
- Privacy-first deployments, on-premise where required
Mining, resources and energy
Heavy equipment, remote sites and long supply chains reward models that predict failure and plan work. We build maintenance, planning and logistics algorithms that run at the edge or in your cloud.
- Predictive maintenance from equipment telemetry
- Fleet, haulage and crew scheduling optimisation
- Sensor anomaly detection for plant and infrastructure
- Demand and price forecasting for energy
- Search over safety and compliance documents
Government
Public bodies need AI that is transparent, auditable and lawful. We build decision support and document tools, and prepare the disclosures required for automated decisions from 10 December 2026.
- Case triage and document processing
- Knowledge assistants for staff, grounded in policy and legislation
- Demand and service-planning forecasts
- Automated decision-making transparency and governance readiness
- Legacy system migration to supported platforms
Manufacturing and robotics
AI on a factory floor or inside a robot has to work in real time and fail safely. We build perception, scheduling and control algorithms, and connect them to your equipment and ERP.
- Vision-based quality inspection
- Production scheduling and optimisation
- Predictive maintenance for machines and fleets
- Perception and planning algorithms for robots and autonomous machines
- Integration with SAP, MES and equipment controllers
Education and research
Universities and research groups hold large bodies of knowledge and data. We build assistants that answer from that material with citations, analytics for operations, and prototypes for new research ideas.
- Private knowledge assistants over papers, theses and course material
- Enrolment, learning and operations analytics
- Research prototypes in AI, quantum computing and biology
- Technical documentation for grant and R&D programmes
Agriculture
Farm decisions depend on weather, soil, markets and timing. We build forecasting and advisory tools that work in the field, including on a phone with poor connectivity.
- Crop and yield forecasting
- Image-based crop health diagnosis
- Market and supply-chain forecasting
- Voice and local-language interfaces
The same method in every industry.
Examples above are illustrative starting points. Client work is confidential.
- 1
Define
One decision or task, one metric, and the baseline you have today.
- 2
Check the data
What you hold, how clean it is, and what rules apply to it.
- 3
Build small
A working version on your data, tested against the baseline.
- 4
Implement and scale
Connect it to your systems, monitor it, and extend only what the numbers support.
Do you have experience in my industry?
We have worked with organisations in government, defence, mining, education and technology. For other industries we start by learning your data, your rules and your risks in the first call, and we say plainly if we are not the right fit.
Do you work with defence organisations?
Yes. Defence is one of the sectors we have worked in. We build AI that runs inside your own environment, including on-premise and fully offline, so data and models stay under your control. We do not publish details of client work.
Can you work with sensitive or regulated data?
We can build and run systems entirely inside your own environment, on-premise or fully offline, under your security policies and a mutual NDA. If your work needs a particular clearance or accreditation, raise it on the first call and we will tell you plainly whether we meet it.
What if my industry is not listed?
The method applies anywhere a decision or a repetitive task depends on data. Book a free call and tell us the problem. If AI is not the right answer, we will say so.