Intelligent Apps

Products that learn from use and adapt to each user.

Gemini API TensorFlow Lite Embeddings Vector Search

Search by intent, not by exact wording

Personalisation from real usage

Success metric defined before building

AI as part of the product, not as a chat button in the corner: search that understands intent, suggestions that shift with behaviour, auto-fill from a photo or from voice, alerts that get ahead of the problem. What each feature solves is decided up front, with an agreed metric.
Engagement model

On request

Typical timeline

about 75 days

varies with the agreed scope

Related cases

Shall we talk?

Tell us your challenge and we send back a plan — not a generic quote.

Prefer to talk right now?

Instant reply during business hours.

Chat on WhatsApp

The project
The context

Technical details help — but they are not required.

You

Your data is not shared with third parties.

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