Data without location
Sensor and performance data is hard to act on without seeing where it comes from.
We build the software behind digital twins: accurate 3D models connected to IIoT, operational and analytics data, knowledge graphs that link assets across systems, CAE (computer-aided engineering) simulation and volumetric visualization.
Problems it solves
Sensor and performance data is hard to act on without seeing where it comes from.
Many 3D models are built once and never connected to operations.
Teams switch between dashboards, maps and documents to answer one question.
What-if questions need simulation, not guesswork.
What we deliver
Delivered as a module inside your existing product, in your codebase and with your team.
3D views of assets and sites connected to IIoT and operations data.
Assets, spaces and network elements linked on standard ontologies such as RealEstateCore, with reasoning, in a graph database such as AWS Neptune.
Cloud pipelines and KPIs presented alongside the 3D view.
CAE (computer-aided engineering) simulation on simulation-ready 3D models of real assets and places.
Volume data with clipping planes, measurement and report generation.
Case studies

Oil & gas
A multi-year project: laser-scan volumetric data of wells inspected and measured in the browser, with reports and data management.
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Telecom
An end-to-end platform to manage the physical and virtual assets of a 5G network in a 3D geospatial environment.
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Telecom
A knowledge graph on AWS Neptune linking telecom network assets with the real estate they sit on, built on the RealEstateCore ontology with reasoning.
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Telecom
3D city meshes generated from GIS data for physics-based radio propagation simulation with NVIDIA Sionna RT.
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Telecom
A SaaS digital twin to monitor and manage telecom towers, site equipment and their performance in 3D, alongside operational data.
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Oil & gas
A web 3D simulator to study the distortion of a four-camera inspection tool inside a drilled shell.
Read case studyTechnologies and formats
Industries
How we deliver
30 minutes with an engineer, under NDA if you need one.
1 to 3 weeks: requirements workshop, code and data review, and a proof of concept for the risky parts.
Phased plan, team, estimate and engagement model.
Two to three week iterations, with a demo every sprint.
FAQ
Yes. We build pipelines from your IIoT, cloud and operational systems into the 3D view.
Not always. We can work with existing CAD, BIM or GIS data and fill the gaps where needed.
Yes. A single site or asset type is a good way to prove value before scaling up.
Tell us about the module you need. You will talk to an engineer from the first call.