At Nextspace, we embed intelligence directly into the built environment ,Introducing Ask Nextspace, an integrated AI connecting spatial models, engineering systems, operational data and standards.
Ask Nextspace is built on a structured domain ontology. It defines how buildings, systems, assets, and regulations relate, providing the contextualized data required for reliable AI reasoning at city scale.
Ask Nextspace analyzes building energy use, occupancy, and system performance to model future demand.
Because the data is spatially connected, the AI understands where demand occurs, how systems interact, and where infrastructure pressure points emerge, supporting evidence based urban planning.
Using MCP, Ask Nextspace can control visual outputs and connect with other AI Agents in industrial plants.

Ask Nextspace interprets operational and sensor data in context.
It identifies fault distribution, detects emerging patterns, and highlights system level risks across complex mechanical environments.

For operations, Ask Nextspace delivers visual answers.

Systems like HVAC are classified and color-coded directly in the model, enabling rapid understanding, faster diagnosis, and proactive maintenance decisions.

For design, Ask Nextspace applies embedded standards and rule sets by referencing fire and building codes.

It assists in generating coordinated compliance system installations, reducing rework, and improving auditability.

Nextspace - ask better questions of the built environment.

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