Model-Agnostic Runtime
Cyberwave doesn't compete with AI models — it makes them operational. Navigation models, VLAs, VLMs, anomaly detectors, speech agents, third-party endpoints. Bring your own or use platform defaults.
- VLAs, VLMs, navigation models, anomaly detectors, speech agents
- Model registry with versioning and lineage tracking
- Bring your own model or use platform defaults
- Unified inference API across all model types
Explore model-agnostic runtime
Train on Digital Twin State
Train against twin state and simulation, not just offline datasets. Synthetic data generation, scenario orchestration, and Sim2Real pipelines that close the gap between lab and production.
- Synthetic data from simulation environments
- Scenario orchestration for edge-case training
- Telemetry, sensor streams, and event history as training data
- Sim2Real pipelines with domain randomization
Explore train on digital twin state
Policy Routing & Deployment
Policy routing, fallback chains, shadow deployments, latency-aware inference selection. Go from "the model said turn left" to "the robot turned left safely, under policy, with an audit trail."
- Fallback chains: primary model → backup model → teleop
- Shadow deployments for safe A/B testing in production
- Latency-aware inference: edge vs cloud routing
- Canary rollouts by site, fleet segment, or environment
Explore policy routing & deployment
Safety Envelopes
Safety envelopes enforced independently of the model. Force limits, geofencing, speed constraints, and emergency stop — active regardless of what the AI policy outputs.
- Force limits, speed constraints, workspace boundaries
- Geofencing and no-go zones enforced at runtime
- Emergency stop independent of model output
- Full audit trail for every autonomous action
Explore safety envelopes
See it in action
Write controls, gather data, and review results — all through the same platform.