Model serving at the edge.
Production inference runs on the vehicle. Drift detection and continuous evaluation flow back to the platform.
- –Edge model lifecycle
- –Drift + evaluation
- –Latency SLOs by route
- –Audit-grade lineage
DCMS is the connected mobility platform for enterprise operations. Sub-50 ms telemetry, edge AI on the vehicle, and a single operational surface that scales from one depot to a global fleet.
DCMS unifies the layers that operations teams used to run as separate stacks. The platform speaks each domain's protocols natively and surfaces them through one schema, one identity model, one audit log.
Production inference runs on the vehicle. Drift detection and continuous evaluation flow back to the platform.
A single control plane for hundreds of thousands of connected endpoints, with policy, observability, and OTA built in.
Live telemetry for vehicles, routing optimized against traffic and grid state, megawatt-aware charging orchestration.
Yard logistics, AGVs, and robotics cells share the same operational surface as the rolling fleet. One console, one schema.
The same platform underpins fleet operators, OEM platforms, manufacturing operations, transit programs, and regulated enterprise operators. Each deployment is configured, not customized.
OEM telematics, edge inference, autonomy support, dealer network operations.
Line throughput, AGV coordination, robotics-cell monitoring, energy balancing.
Yard operations, dispatch, route optimization across mixed fleets and depots.
Charging grids, transit corridors, geofence and policy at city scale.
Multi-region rollups, audit, compliance reporting for regulated operators.
A four-stage pipeline. Inference runs at the edge; telemetry is normalized in transit; the operational lake is the system of record; consoles and APIs are the surface.
DCMS runs around the clock for regulated operators. Reliability is a contract, not a marketing line — published on a public status page, audited quarterly, and budgeted into every release.