Run AI where the data is. Edge deployment puts inference next to the machine for real-time action — millisecond decisions, offline resilience and secure edge-to-cloud — ideal for fast lines and remote sites with limited connectivity.
We deploy models to industrial edge gateways and PLCs, connect them via OPC UA and MQTT, and stream only what matters to the cloud. Decisions happen locally and instantly; the cloud handles fleet monitoring, dashboards and retraining.
Anonymized project profiles across industries. No client names or sensitive data are disclosed.
A line ran too fast for cloud round-trips; defects had to be rejected inline.
Result: millisecond on-edge decisions with no line slowdown.
Predictive models had to keep running where the network dropped for hours.
Result: fully autonomous edge operation with store-and-forward sync.
Models needed consistent updates across plants without on-site visits.
Result: centrally monitored fleet with over-the-air model updates.