Run AI on-device for speed, privacy, and control

Most modern iOS and Android devices support on-device inference. We benchmark your target devices early to identify any constraints.

It depends on the device and use case. Small models (under 1GB) work well on most devices; larger models may require newer hardware or compression.

It can if not optimized. We profile power consumption and apply optimizations to keep inference efficient for real-world usage.

Yes. We design update strategies that let you push new models without requiring a full app release.

We design fallback strategies, such as using smaller built-in models or routing to the cloud when needed.

Yes. We choose runtimes optimized for each platform while ensuring consistent behavior across your user base.

Yes. We use techniques like LoRA fine-tuning to adapt models to your use case without full retraining.

We benchmark across device tiers and recommend which models and runtimes work for your minimum supported hardware.

Inference stays on the device, so sensitive data never leaves the phone and privacy-first features need no network call. The models run locally on your platforms and are yours to own.