DigitalTwins
Real-time system modeling, simulation, and autonomous operation in one continuous loop.
Synchronization breaks when data moves through pipelines
Digital twins require continuous synchronization between physical systems and their digital representations. Traditional architectures struggle because data is processed in batches, moved across systems, and reconciled after the fact. By the time the model updates, the physical system has already moved on.
Live ingestion, native intelligence, embedded execution
MonkDB ingests sensor and system data in real time, continuously updating the digital model. With built-in intelligence and execution capabilities, digital twins do not just reflect current state. They simulate outcomes, predict failures, and trigger corrective actions instantly. The result is twins that act, not just observe.
Built for live, predictive twins
Sub-millisecond ingest
Capture telemetry at the source with no batching, no buffering, no pipeline glue.
Continuous state model
Maintain an always-current view of every entity, with vector and time-series in one engine.
In-engine simulation
Run what-if scenarios on live state without exporting to a separate analytics system.
Closed-loop execution
Trigger actions, parameter adjustments, or workflows directly from the twin model.
Build twins that act, not just reflect.
Talk to an engineer about your workload. We will scope a proof of value in your environment.
Request a demo