Telemetry without spatial context
Operations data arrives as tables and charts, with no view of the asset, site or network it belongs to.
Your IoT platform holds the data. We make it spatial.
We build the 3D and geospatial layer of digital twins: assets, sites and networks in 3D and on the map, connected to live operational data, linked in a knowledge graph and ready for simulation.
The problem
Why the data does not work together
Sensors not linked to assets
IoT and network data often lacks a precise link to the physical asset, room or route it describes.
IDs that never match
Network, real estate, BIM and GIS systems each use their own identifiers, so one asset has many names.
Real places are not simulation-ready
Simulation solvers need clean geometry of terrain, buildings and assets, which GIS data alone does not provide.
What we build
Software we build for this
Delivered as a module inside your product or alongside your enterprise stack, on open standards and without lock-in.
Operational digital twins
3D and map views of towers, sites and networks with live status, KPIs and alerts.
Twin Data Foundation
A knowledge graph that links assets, spaces and sensors on standard ontologies, so data from different systems lines up.
Simulation-ready twins
Clean, simulation-ready 3D models of terrain, buildings and assets for CAE and physics-based simulation.
4D site twins
Plans and actual progress played back over time, with cross-sections and legends.
Case studies
Where we have delivered this
Oil & gas
Oil Well Volumetric Viewer and Data Management Platform
A multi-year project: laser-scan volumetric data of wells inspected and measured in the browser, with reports and data management.
Read case study
Mining
4D Mining Timeline Viewer
A browser-based 4D viewer that plays mine plans and actual progress back over time.
Read case study
GIS / Urban planning
3D Digital Twins of a City
Import, export and visualization of 3D building digital twins on a GIS map, inside an existing planning product.
Read case study
Telecom
5G Network Digital Twin
An end-to-end platform to manage the physical and virtual assets of a 5G network in a 3D geospatial environment.
Read case study
Telecom
Knowledge Graph for Telecom and Real Estate Assets
A knowledge graph on AWS Neptune linking telecom network assets with the real estate they sit on, built on the RealEstateCore ontology with reasoning.
Read case study
Telecom
Radio Map and Path Propagation Simulation
3D city meshes generated from GIS data for physics-based radio propagation simulation with NVIDIA Sionna RT.
Read case study
Capabilities
The engineering behind it
Technologies and standards
Open standards, no lock-in
Prolincur is a member of NVIDIA Inception, NVIDIA's program for startups.
Industries
Where this applies
How we deliver
From first call to long-term support
- 01
Discovery call
30 minutes with an engineer, under NDA if you need one.
- 02
Technical discovery
1 to 3 weeks: requirements workshop, code and data review, and a proof of concept for the risky parts.
- 03
Proposal
Phased plan, team, estimate and engagement model.
- 04
Delivery
Two to three week iterations, with a demo every sprint.
FAQ
Common questions
Do you replace our IoT or twin platform?
No. We build the 3D, map and data-linking layer on top of the platforms and data sources you already use.
What is a knowledge graph for, in a digital twin?
It links assets, spaces, sensors and network elements across systems, so one query can answer questions that span them, for people and for AI agents.
Can we start with one site or asset type?
Yes. One site or asset type is a good way to prove value before scaling up.
Need this in your product?
Tell us what you are building. You will talk to a software engineer from the first call.