Turn Robot Data Into Market Intelligence

Divault is a cloud intelligence platform for robotics and edge computing teams. It connects your edge devices — robots, drones, sensors — processes their real-world data through AI perception, and builds persistent memory so your systems reason and act with full context.

You can connect autonomous robots, drones and UAVs, IoT sensor networks, vision and imaging systems, and external data APIs. Divault also supports ingesting data from web sources and third-party services to enrich your edge perception pipelines.

It is a drag-and-drop canvas where you wire together device ingestion, perception agents, reasoning nodes, memory, and command dispatch. Your team can design and iterate intelligence pipelines without writing orchestration code.

Perception transforms raw, noisy sensor streams into structured intelligence. It can convert vision feeds, LiDAR point clouds, motion data, and audio into meaningful features your reasoning layer can use — enabling robots to understand what they observe.

Divault stores long-lived context across sessions — prior robot behaviors, environmental states, anomaly patterns, and sensor reliability histories. This lets your system reason with continuity instead of starting from scratch on every run.

The Basic plan is free and includes core device connectors, the visual flow builder, perception and reasoning agents, and limited daily processing runs. It is designed for teams validating their first edge intelligence pipelines.

In our benchmarks, the full ingestion-to-intelligence loop completes in around 91ms for optimized pipelines. Latency depends on device count, sensor stream volume, model complexity, and selected processing mode.

Request early access, register your edge devices, design your perception pipeline, and launch your first real-time intelligence flow. If anything is unclear, contact us and we will help you get to production quickly.