[Solutions · Spatial Intelligence & Geospatial]
Create a live operational view of facilities, assets, workflows, and supply chains so teams can identify issues faster, coordinate better, and make decisions with confidence. We help enterprises visualize facilities, assets, workflows, and supply chains in real time through digital twins, geospatial intelligence, and AI-powered spatial applications.
See operations in context
See the network in motion
Ask the map, get answers
Built for the factory floor
[Spatial & geospatial Capabilities]
Connect facilities, assets, workflows, and supply chains into a single spatial layer that helps teams understand what is happening, where it is happening, and what action to take next.
See production, equipment, and workflows in context.
Create a live view of production environments to test changes, simulate scenarios, and improve operational decisions before they impact the floor.
Improve safety, maintenance, and operational execution through real-time visibility and guided workflows on the factory floor.
Help teams understand operational performance in the context of physical space while accelerating workforce readiness through immersive training environments.
Track assets, suppliers, and operations across the network.
Create a geographic view of facilities, assets, and operations to improve planning, coordination, and decision-making across the enterprise.
Monitor suppliers, shipments, and logistics networks in real time while identifying risks that could impact production and delivery.
Give teams natural-language access to operational and geospatial data, making it easier to find answers, explore trends, and act faster.
[Proven Results]
Spatial intelligence creates value when it helpOutcomes teams can see on the floor and across the network. s teams understand operations faster, respond to issues sooner, and make better decisions across facilities, assets, and supply chains.
Operational Visibility
A live digital view of critical facilities, assets, and production environments
Productivity
Troubleshooting and maintenance time through contextual guidance
Supply Chain
Real-time visibility into assets, suppliers, and shipments across the network
Decision Support
Natural-language access to operational and geospatial information
[Who We Work With]
Spatial intelligence supports decisions across manufacturing operations, engineering, maintenance, logistics, and executive leadership. Our approach is designed to create value for all of them.
[For the C-Suite]
Connect facilities, assets, and supply chains into a shared operational view that supports planning, investment, and performance decisions.
[For Operations & Plant Leaders ]
See equipment, workflows, and operational conditions in real time to identify issues sooner and improve execution.
[For Heads of AI, Data & CDOs ]
Track assets, suppliers, and shipments in context while responding faster to changing conditions across the network.
[Common Questions]
A CAD model is a static design artefact. Industrial spatial intelligence is a living, three-dimensional view of your operation, fed by real sensor and MES data, that engineers and operators interact with to make decisions. A digital twin updates as the line runs, AR overlays guidance on equipment a technician is looking at, and factory perception lets the system understand what is happening in the space, not just what was drawn into it.
Every agent we build runs with three layers of control: it answers only from sanctioned sources you approve, it shows the reasoning and evidence behind every action, and it pauses for a human approval on actions that change a system of record or affect the line. You decide where the agent acts on its own and where it asks. Confidence is engineered, not promised.
The most common first wins are knowledge agents that compress repair or troubleshooting time on the floor, document AI that reads invoices, claims, or SOPs and updates downstream systems, and copilots that help engineers and analysts get to the answer faster. Each starts narrow, proves the pattern on one workflow, and expands from there. Pick the highest-frequency, highest-cost workflow your people already do manually.
The plant-floor twin sees inside a building or cell; GIS and geospatial intelligence see the network of plants, suppliers, shipments, and assets across geography. Most engagements connect the two, the geospatial layer sees a shipment delayed by a port closure, the plant twin sees the production impact and reschedules the line. Spatial intelligence is one practice across both scales, with the same data engineering and AI underneath.
AI-powered map agents let your team ask the map a question in plain language, show me supplier exposure to the typhoon this week, route this shipment around the closure, where should the next distribution centre go. The agent reads geospatial data on your lakehouse, generates the right map layer, and returns the answer with a map rather than a spreadsheet. It is geospatial intelligence with the productivity curve of GenAI applied on top.
[Continue Reading]
Our AI advisory engagements are designed for senior leaders in manufacturing and automotive enterprises who are tired of AI pilots that never reach production and ready to own a measurable outcome inside one quarter.
Solutions · BUILD
The data foundation that keeps the twin in sync with the floor and the map in sync with the network, streaming pipelines from IoT, MES, ERP, and supplier systems.
Solutions · think
The ML and computer vision that the spatial layer reasons on, predictive maintenance, defect detection, and process monitoring.
Solutions · Build
The agents that act on what the twin and the map see, knowledge agents for repair, AI map agents for geospatial queries, planning agents for the network.
