AI capacity for designed and built spaces.
The Lab is building a modular Spatial Intelligence Engine, and provides services and forward-deployment to support the adoption of modular spatial intelligence.
This approach to building capacity for AI integration into the built environment liberates AI capacity development from software development.
A modular Spatial Intelligence Engine, with services and forward-deployment for its adoption.
Liberating AI capacity development from software development.
Samples from the module list in the Intelligence Registry.
Regulatory & syntactic guardrails: an always-on check that the building makes sense and adheres to codes & zoning.
Uses value benchmarks to analyse unit mix, amenities & material selection to guide optimal value per square foot.
Ties as-built progress to the digital source of truth and adapts when there is drift.
Uses heuristics to identify underutilised spatial value across a portfolio.
Predicts how a layout will perform for humans, scoring suitability for its intended program.
Infers author characteristics (design genome) across projects and unique features (design DNA) per project; infers licensable opportunity & value.
Rapid acceleration of understanding and improvement of designed and built spaces.
The goal is to enable the rapid acceleration of understanding and improvement of designed and built spaces — both physical and digital — and support of progress in related spaces including robotics and fabrication.
The Lab is supported by industry and research partnerships to help define new standards, benchmarks and best practices.
If you want to explore further, get a demo, or partner.