On-device AI: integrating Gemini Nano in local workflows

With the rise of large language models, privacy concerns and API costs have skyrocketed. Enterprise clients don't want their proprietary data leaving their devices.

This is where On-Device AI changes everything.

Our Experiments with Gemini Nano

We recently began integrating Google's Gemini Nano directly into our enterprise mobile workflows. Because Nano runs natively on the device hardware via AICore, there is absolute privacy.

Benefits

1. Zero Latency: Inference happens instantly.
2. Complete Privacy: Data never hits a cloud endpoint.
3. Offline Capability: The model works deep underground or on a flight.

"The future of enterprise AI isn't in the cloud; it's right in your pocket."

Stay tuned as we open-source some of our implementation wrappers for React Native and pure Kotlin soon!