Applied intelligence for industry, infrastructure, and public systems.

Problem

Major infrastructure programmes split schedules, risk registers, site evidence and reporting across disconnected tools.

Prototype

A corridor command interface combining 3D mapping, progress state, drone feed evidence, hazard alerts and project controls.

What we learned

Operators need fewer dashboards and more decision context: what changed, why it matters and what action is due next.

Next research question

Which workflow should the AI own first: weekly reporting, risk triage, inspection planning or client summaries?

Problem

Large venues and event sites need shared situational awareness across access, safety, crowd movement and asset state.

Prototype

A concept command layer with Google Maps-style 3D context, emergency routes, assistant prompts and operational tabs.

What we learned

The strongest interface pattern is not a chatbot beside a map; it is an assistant that can act on spatial objects.

Next research question

How should spatial agents verify answers when the source is a live map, a Gaussian Splat, a drone feed or a human report?

Problem

Construction teams need to coordinate projects, assets, safety tasks and reports without losing the field reality behind the paperwork.

Prototype

An internal command-center demo linking active projects, map assets, safety alerts, phase planning and report export actions.

What we learned

A credible construction copilot needs human approval points, traceable evidence and role-specific views before automation.

Next research question

What is the smallest useful agent team for a live project: planner, safety officer, cost manager or reporting assistant?

Problem

Teams are often asked to invest in AI before they can explain their readiness, priority use cases, expected return or the system needed to deliver it.

Prototype

An integrated hub with readiness context, AI Pulse, architecture whiteboarding, app design, ROI modelling, roadmaps and persona-aware guidance.

What we learned

The valuable unit is a chain of decisions rather than a single answer: assess, model, design, sequence and then decide where expert help is needed.

Next research question

Can a strategy output become a reusable Simam blueprint without losing its assumptions, evidence and human decisions?

Problem

Smaller organisations know AI matters but often cannot see whether their immediate constraint is leadership, data, systems, skills or a defined use case.

Prototype

Client-side tools covering a 20-question readiness assessment, ROI calculator, use-case finder, jargon buster and AI-type recommendations.

What we learned

Useful guidance earns more trust when the first interaction is genuinely valuable, private by default and does not require an email address before showing a result.

Next research question

Which readiness signals best predict a successful first project, and how should the tool recommend the next step without pretending to replace discovery?

Problem

Healthcare operations are spread across maps, dashboards, spreadsheets and site-level tools, making it difficult to carry context from system-wide pressure to a local operational decision.

Prototype

A public proof of concept with a national 3D estate view, simulated operational indicators, scenario planning, decision-support research and an assurance surface that explains the direction of a real integration.

What we learned

The map earns attention, but the useful research lies in connecting place, pressure, assumptions, evidence and human review in one legible workflow.

Next research question

How should the twin be evaluated with qualified operations and clinical-safety stakeholders before any real-data pilot is considered?