AI features built into your product, not bolted on
We add AI where it earns its place: LLM-powered features, on-device models for privacy and speed, and vision pipelines, designed into the product experience.
What we integrate
- LLM features: generation, summarisation, structured extraction, assistants
- On-device inference for privacy and speed
- Vision: camera capture, recognition and image pipelines
- Backends that call model providers safely, with cost and latency in mind
How we approach it
- Start from the user problem, then pick the model approach
- Design for failure: loading, partial results and fallbacks
- Privacy-aware choices between on-device and server models
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