Mobility & EV

Fleet telemetry analytics without exposing driver or vehicle PII

Fleet operators and OEMs need utilisation, degradation, and safety analytics across thousands of vehicles. Telemetry carries driver behaviour, location correlates, and VIN-linked histories: export to a central plaintext lake violates GDPR and operator policy.

How it runs

Encrypted CAN and telematics streams ingest at the edge; aggregation, anomaly detection, and utilisation models run on Umbra N8 nodes in the operator's domain. Driver identifiers and precise location traces stay ciphertext through analytics; only encrypted fleet-level metrics release under operator key control.

What changes

Fleet intelligence without a driver-identifiable plaintext warehouse. Operators and OEMs collaborate on safety and utilisation models while privacy teams retain a defensible encrypted compute path.

Battery and thermal model training across OEMs and suppliers

Cell suppliers and OEMs need joint degradation and thermal-runaway models without sharing proprietary chemistry, pack design, or field failure detail. Plaintext pooling is commercially unacceptable; slow legal frameworks block model refresh.

How it runs

Each party contributes encrypted cell-cycle and thermal feature tensors. Federated training on shared Umbra nodes produces encrypted model updates; no participant receives another's plaintext design parameters or failure logs.

What changes

Better pack and BMS models without IP leakage. Supply-chain partners gain collective model quality while retaining sovereign custody of proprietary datasets.

V2X and charging-network analytics on encrypted streams

Charging networks, grid operators, and municipalities need joint load and session analytics for V2X and grid integration. Session data re-identifies drivers; networks resist plaintext export to utilities or city platforms.

How it runs

Encrypted session, load, and grid-correlate streams feed analytics on Umbra at network aggregation points. Peak forecasting, congestion models, and tariff optimisation run on ciphertext; outputs are encrypted aggregates for each stakeholder's key domain.

What changes

Grid and mobility integration without a driver-identifiable session lake. Stakeholders share analytical benefit while session-level privacy remains cryptographically enforced.

Autonomous perception model evaluation on encrypted sensor logs

OEMs and validation partners must benchmark perception models on real-world sensor logs without exporting raw camera, lidar, and radar captures: logs contain faces, plates, and proprietary scene data.

How it runs

Validation pipelines run encrypted inference and metric aggregation on Umbra against logged sensor tensors. Partners receive encrypted benchmark scores and failure-mode statistics; raw captures never decrypt outside the OEM's key domain.

What changes

Third-party and cross-team model validation without raw log export. Safety programmes accelerate while legal and IP teams retain control of sensitive captures.