AI-powered products
AI features your users actually rely on.
Assistants, copilots, generative features and products where AI is the product. Designed around a real job, measured with evals and built to run in production, not just in a demo.
Typical timeline: 4 weeks (AI feature) to 3–4 months (AI-first product)
Capabilities
What's included
- Use-case scoping: the job, the users, what good looks like
- Product and UX design for AI features: streaming, citations, undo, feedback
- Assistants and copilots inside your web or mobile app
- Generative features for text, images and structured content
- Retrieval over your documents and data (RAG)
- Tool-using agents with guardrails and human approval steps
- Model selection and multi-provider routing for cost and quality
- Eval suites, logging and cost tracking from day one
- Backend, auth, billing and admin for AI-first products
Specialisms
Go deeper
- RAG AssistantsAssistants that answer from your documents, with sources.
- AI AgentsAgents that use your tools, within limits you set.
- Chatbots & VoiceWeb, WhatsApp and voice assistants trained on your business, with human handoff.
- LLM IntegrationLLMs in your product, routed across providers for cost and quality.
How we work
From brief to live
- 01
Scope
3–5 daysThe job the AI does, the data it needs and how we will measure it, agreed in writing.
- 02
Prototype
1–2 weeksA working slice on real data, with a first eval set, so you judge results rather than slides.
- 03
Build
3–10 weeksProduct, backend and AI pipeline in weekly increments on a staging link.
- 04
Launch and tune
2–4 weeksProduction deploy, monitoring, then a month of tuning against real usage.
Work
Related work
My Medical Records · Healthtech / consumer health · 2026
Every lab, scan and visit note in one AI-readable timeline
- Automations & Workflows
- Apps
playvertise · Marketing technology / gamification · 2025
Branded games from a brief, with AI doing the heavy lifting
- Automations & Workflows
- Apps
- Websites
Picept · AI infrastructure / developer tools · 2024
One API, every model, routed for cost and quality
- Automations & Workflows
- Apps
FAQ
Good to know
Whichever performs best on your evals at a cost you can live with: OpenAI, Anthropic, Google or open models such as Llama, Qwen and Mistral. Routing lets you switch without a rewrite.
Yes. Most work starts there: an assistant, search or generation feature added to an existing app, behind a flag, measured before it rolls out.
Answers grounded in your data with citations, guardrails on inputs and outputs, and eval suites that catch regressions before your users do.
You do. Repositories, prompts, eval sets and model accounts live in your organisation.
Have something in mind?
Send a short brief or book a 20-minute call. We reply within one working day.