02 · Service line

AI Integration

We bring AI into new and existing apps, from in-app assistants and smart search to document, image and voice understanding, designed for privacy, measured for accuracy and built to keep costs in check.

An engineer testing an in-app AI assistant on a phone in an engineering studio

What's included

AI features that make your app genuinely more useful.

02.1

AI opportunity & readiness discovery

Find where AI helps your users most.

We identify the use cases worth building, check that your data and systems can support them, and prototype the most promising idea so you can see the value before you invest.

Deliverables

  • Prioritized use cases with expected impact
  • Data and integration readiness review
  • A working prototype of the lead idea

02.3

Vision, document & voice features

Let the camera and microphone do the typing.

Scan and understand documents, recognize objects and conditions in photos, transcribe and summarize conversations, and fill in forms automatically, on the device itself where privacy or connectivity calls for it.

Deliverables

  • Document and image understanding
  • Speech recognition and summaries
  • On-device models for private, offline use

02.4

AI safety, privacy & evaluation

Accurate, private and affordable in production.

Evaluation suites that measure accuracy before every release, guardrails against misuse, privacy controls for regulated data, and monitoring of quality, speed and cost once the feature is live.

Deliverables

  • Evaluation suite and quality baselines
  • Guardrails and privacy controls
  • Production monitoring for quality and cost

How we run it

A clear process, every engagement.

  1. 01

    Discover

    Choose the use cases worth building and confirm your data is ready.

  2. 02

    Prototype

    Prove the value quickly with a working feature on real data.

  3. 03

    Build

    Integrate it into the app with evaluation, guardrails and privacy controls.

  4. 04

    Measure

    Monitor accuracy, speed and cost, and improve with every release.

Standards & frameworks

HIPAA-aware data handlingGDPRSOC 2 Type IIOWASP Top 10 for LLM applications
How we approach compliance

Available standalone

Commission an AI discovery and prototype on its own, or add an AI feature to an app we did not build.

Scope it with us

20 years of mobile engineering

Tell us what you are building.

Share the platforms, compliance needs and budget. Programs over $50k go straight to an engineering lead.

  1. 01

    We read every requestAn engineering lead reviews your brief, not a sales queue.

  2. 02

    Programs of $50k or more go to an engineering leadNot a sales queue: a lead reviews the brief and contacts you to set a time.

  3. 03

    You get a planArchitecture options, team shape and a phased estimate.