IoT Sensors
Connected sensors capture temperature, vibration, pressure, and more from machinery and products in the field.
- Virtually unlimited multi-modal inputs
- Continuous live feeds
Digital Twins
Connect physical assets to your business.
We build twins that link live sensors, reality models, simulation environments, and ERP systems so you can predict problems and act before they reach the field.
Digital Twins
Sensors, simulation, and ERP stay in sync with what is happening in the field.
Architecture
Key Features
A digital twin connects what you measure, what you simulate, and what your business can act on.
Simulation Environments
Live data feeds the virtual twin for predictive models, anomaly detection, and what-if scenarios—without disrupting real operations.
- Path planning and optimization
- Powered by Unity
ERP Integration
Operational events in the twin trigger business processes automatically.
- Automated procurement
- Inventory tracking
- Financial forecasting
Spatio-Temporal Knowledge Base
Dynamic databases that anchor data, entities, and relationships in space and time.
- Detect and track events over time
- Organized in a structured ontology
Outcomes
Key benefits.
When sensing, simulation, and business systems work together, the twin becomes a decision engine that improves with every signal.
Knowledge base
Grounded in real-world data and responsive to changes in physical assets. Brings semantic meaning to your data—infinite memory that mirrors the full lifecycle of every asset.
Predictive maintenance
Monitor machine wear in real time and order replacement parts through ERP before breakdowns halt production. Custom predictive models for your equipment.
Supply chain optimization
Adjust production schedules and logistics routing in real time based on equipment health and warehouse conditions.
Learning loops
Refine product designs and reduce waste from operational data. Feed reinforcement learning loops—tune reward functions and train custom predictive and detection models.
Distributed Edge Computing
We focus on distributed workloads designed run where the data is generated. Nodes process and filter raw data locally, sending only aggregated results or critical events back to the aggregator.
Data Sovereignty
We ensuring your data (training datasets, real-time inputs, model outputs, ontology) stay local and under your control.
Engagement model
Start with a pilot, scale from there.
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01
Define scope
Identify the assets, sensors, simulation scenarios, and ERP workflows that matter most.
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02
Build and integrate
Stand up the reality model, connect IoT feeds, configure Unity simulation, and wire ERP triggers.
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03
Learn and expand
Refine models, extend learning loops, and scale to additional sites and use cases.
Ready to get started?
Let’s design your first digital twin.
Share your assets, data sources, and goals—we’ll recommend a pilot that proves value fast.