AI strategy & advisory
Where AI will move your numbers — and where it will not. We help you decide what to build, what it will actually take, and how to specify it before you commit budget.
We build AI around living digital models of real places — and bring together the people deciding how AI becomes part of everyday life.
How to adopt AI deliberately — what to buy, what to build, how to govern it. Advice from practice, not theory.
Governments & public affairs → IndustrySystems running in manufacturing, security, residential and service operations — deployed inside your perimeter.
Our products → TechnologyLiving digital twins, world models, computer vision and AI agents — engineered by our own team, end to end.
Our technology →And one table where the three meet: the Aller Forum — where technology, policy and culture decide together how AI becomes a standard.
Where AI will move your numbers — and where it will not. We help you decide what to build, what it will actually take, and how to specify it before you commit budget.
Systems that watch live video and understand what they see — people, vehicles, hazards, anomalies — engineered for existing camera infrastructure and safety-critical environments.
Living digital counterparts of real places — built from your drawings, rehearsed in simulation, and trained for your specific case before day one on site.
Autonomous software agents that carry real workflows — monitoring, reporting, escalation — under explicit, human-defined rules, with full audit trails.
When the system you need does not exist off the shelf: designed, built and operated end to end, on your infrastructure or ours.
Deployment frameworks that satisfy regulators and auditors — and clear, jargon-free briefings that put decision-makers in control of the technology they own.
Everything that happens, visible on a living 3D map — understood in context, kept on premise.
Residential Orbis CallStructured, high-volume conversations handled naturally, around the clock — every call logged and reviewable.
Operations · ServiceNot the model. A concrete problem, a person who owns it, and an agreed way to measure success.
Existing hardware, data that cannot leave your perimeter, teams that will actually use it.
A working system in the field early — then made reliable enough to run every day.
On-premise by default. Your data, your hardware, your control — documented and auditable.
Monitoring, incident review and model updates as an ongoing discipline, not a handover.
Your teams learn to run, question and govern the system — the capability stays with you.
Technology decides what is possible. Policy decides what is permitted. Culture decides what is accepted. AI will become a standard only where all three agree.
About the Forum →We reply within two working days. The first conversation is about your situation, not our pitch — and carries no obligation.