On-premises AI for radio communications
Transcription, summaries and alerts for radio communications.
A network diagram. Inside the boundary, Customer network: Radio feeds Local model, which sends to Text, Summary and Alert. Outside it: Cloud AI not relied on. Local model is highlighted.
01
What was made
An AI product for an RF communications manufacturer that provides transcription, summaries and alerts for radio communications. The language model runs on the customer’s own network, and the product does not rely on third-party cloud AI services. The customer controls the system.
Related work for this manufacturer: the customer and staff platform.
02
The connection
The idea grew out of listening to recurring customer concerns. People wanted to use AI, but they worried about privacy and losing control of their data, especially in public safety. I saw an opportunity to bring useful AI capabilities into an environment customers could control.
Those concerns shaped the decision to run the product on the customer’s own network. Privacy and control became starting points for the design, guiding how the product would fit into the customer’s communications and operations.
People wanted to use AI, but they worried about privacy and losing control of their data.
03
Decisions that mattered
- Privacy came first: nothing depends on an outside AI service.
- Features are switched on by a person, not by the system.
- Alerts bring defined situations to a person for review.
04
Status
In customer beta.
Have a similar challenge?