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\ Service \

AI Integration

Add real intelligence to your product — chat, vision, voice, recommendations — using OpenAI, Anthropic, and on-device ML.

  • Python
  • Anthropic
  • PostgreSQL
  • Node.js
  • Docker
  • TypeScript

We've integrated AI into production apps where it actually moves the needle: meal logging by photo (Calorii), real-time vocal effects (Singing Playground), and intelligent route optimisation (NextMove). We focus on AI features that solve a real user problem — not bolted-on chatbots.

What we cover

  • LLM integration (OpenAI ChatGPT, Anthropic Claude, open-source)
  • Retrieval-augmented generation (RAG) on your own data
  • Image and vision (object detection, OCR, image classification)
  • Voice and audio (speech-to-text, vocal effects, transcription)
  • Recommendation engines and personalisation
  • Prompt design, evaluation, and version control
  • Cost monitoring and rate-limit handling for production load

How we approach it

We start with the problem, not the model. Many "AI features" can be solved with simpler ML or a well-tuned heuristic. When a model is the right answer, we'll pick the cheapest one that meets the quality bar.

\ Process \

From first call to launch

The same four steps on every engagement, so you always know what comes next.

01

Research

We start by understanding your market, users, and competitors so every decision after this is informed, not guessed.

02

Design

Wireframes, prototypes and visual design that put the user first — and make sure your brand stands out.

03

Develop

Our engineering team builds with modern frameworks and clean architecture so your product scales as you grow.

04

Test

We thoroughly QA every release across devices and edge cases — so launch day is calm, not chaotic.

\ Let's Talk \

Have an idea? Let's build it.

Tell us what you're working on. We'll come back within a business day with a plan.