- Sep 2026Workshop
Gaussian capture as engineering documentation: from site walk to digital handover
UK Digital Twin Consortium · Simam Digital ResearchA practical workshop on treating weekly Gaussian-splat captures as versioned engineering documentation, not visualisation.
On request - Oct 2026Talk
Local intelligence at the edge: private-by-design LLMs for the public sector
AI North · Leeds · Junaid KashifOn why the next useful decade of AI in health, care and local government will run on hardware inside the building, not in a shared tenant.
On request - Nov 2026Whitepaper
Applied Spatial Intelligence: framing digital twins as a first-class software primitive
Simam AI Lab, Edition 01 · Simam Digital ResearchA working definition of Applied Spatial Intelligence, and the case for treating the built environment as a query surface — not a static asset register.
On request - Jul 2026Panel
Beyond the AI agency: what an applied research institute owes the North of England
Wakefield Innovation Summit · Junaid KashifA panel contribution on positioning the lab as regional research infrastructure, not a marketing category.
On request - Aug 2026Benchmark
Applied spatial interface benchmark: digital twin command centers for infrastructure teams
Simam AI Lab Benchmark Log · Simam Digital ResearchA first-pass benchmark format for comparing map-first, 3D-first and agent-assisted operational interfaces across highways, venues and construction command centers.
- Aug 2026Dataset
Prototype evidence pack: stadium, highways and construction interface captures
Simam AI Lab Research Archive · Simam Digital ResearchA structured internal evidence pack for turning product screenshots, walkthrough videos and design notes into reusable research material for Applied Spatial Intelligence.
- Aug 2026Workshop
From digital twin viewer to operational copilot: designing useful spatial AI workflows
Simam AI Lab Applied Workshop · Junaid KashifWorkshop material for moving beyond impressive 3D scenes into workflows that support inspection, routing, risk review, reporting and human approval.
- Aug 2026Benchmark
Research sandbox scorecards: early criteria for vision, LLM and spatial model evaluation
Simam AI Lab Benchmark Log · Simam Digital ResearchA lightweight scoring method for future lab sandboxes, covering best use case, speed, cost, privacy mode, failure patterns and recommended Simam blueprint.
We score usefulness, not hype.
Lab benchmarks are designed for applied decisions: which model, interface or workflow is fit for a real operational setting?
Best fit
The use case where the model or workflow is genuinely strong.
Operational speed
Latency, handoff time and whether the system interrupts the work.
Privacy mode
Cloud, local, on-premise, BYOK or partner-controlled deployment.
Failure pattern
Where it breaks, what review it needs and what should stay human-approved.
Evidence quality
Screenshots, videos, logs, task runs and domain-review notes.
Blueprint fit
The Simam blueprint or workflow this result can realistically support.