Applications, platform & deployment
Turns the model into something your people can open and use.
The application, the platform that holds it up and putting it into service: on our infrastructure, on your cloud or inside your own walls.
14 cases across 7 sectors
What it solves
A model on its own is used by nobody: what people use is an application. This is where that application gets built, along with the platform underneath it, and where it gets put into service somewhere the client can actually have it — as a service on our infrastructure, on the cloud they already run, or inside their own walls when the data cannot leave. It is the layer nobody talks about until a pilot has to reach production, and the one that decides whether it gets there.
Where it applies
Defence
- On-premise
- Classified environment
- No route out
- On-premise AI and classified environments
- Edge deployment, on board
Logistics
- Real time
- WMS · TMS
- Real-time AI over event streams
- Integration with WMS and TMS
Transport
- Traceability
- Real time
- Onboard edge
- Edge deployment, on board
- Mobility data platforms
Health & pharma
- Sensitive data
- Validation
- Traceability
- Validated environments
- Federated data and privacy
Energy
- Critical infrastructure
- Distributed assets
- Edge deployment, fully offline
- Asset data platform
Manufacturing
- Nothing stops
- Lives with what is there
- AI on top of operational systems
- MLOps and model lifecycle
Civil & construction
- Mountains of documentation
- Assets that last decades
- Project data platform
- Infrastructure sensing and IoT
Talk to us
Do you have a applications, platform & deployment case?
Half an hour. You leave with the problem framed and an honest answer on whether AI is the way to solve it.
Talk to us