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AI Solutions & Integration

Ship AI features that earn their keep.

AI should solve a real job, not be a demo. We design and ship LLM-powered features — assistants, search, automation — that move retention and cost metrics, with guardrails and evals built in.

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What's included

  • AI feature strategy & feasibility
  • LLM integration & prompt engineering
  • RAG and knowledge retrieval
  • Workflow automation & agents
  • Evaluation, guardrails & monitoring

What you get 03

/01

AI features tied to measurable outcomes, not hype

/02

Reliable behaviour through evaluations and guardrails

/03

Sensible cost and latency from day one

How it runs 04

A process built for momentum.

/01

Scope

The job the AI must do, and what "good" measurably looks like.

/02

Prototype

Prove output quality on your real data before committing.

/03

Engineer

Prompts, evals, and cost controls so unit economics work at scale.

/04

Ship

Production rollout with quality monitoring, not a demo that rots.

Proof of work

View all work

Questions

Frequently asked questions

Which AI models do you build with?+

We are model-agnostic and select the best fit per use case, defaulting to the most capable current models for quality-critical work.

How do you keep AI features reliable?+

We build evaluation suites, guardrails, and monitoring so quality is measured and regressions are caught before users see them.

Is our data kept private?+

Yes. We design with data privacy and retention controls appropriate to your compliance needs.

Ready when you are

Tell us about your project — we'll show you how ai solutions fits in.

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