Stop demoing AI.
Start profiting from it.
Hover, tab to, or tap a word to see what the model pays attention to.
CraftsAI designs, builds, and runs AI systems for your business — agents that take action, assistants that know your data, and models tuned to your problem. From first prototype to production.
Services
AI agents & automation
Agents that plan and act inside your tools: they read tickets, update the CRM, draft replies, and hand off to a person when it matters.
Assistants on your data
Chat and search over your documents, databases, and wikis, with answers that cite their sources.
Custom models & fine-tuning
When an off-the-shelf model isn't enough, we train, fine-tune, and distil models for your task and your budget.
AI inside your product
We add AI features to the web and mobile apps you already have, or build new AI-first products end to end.
Data & evaluation pipelines
Clean data in, measurable quality out: datasets, test suites, and evals that tell you whether the AI is actually getting better.
AI strategy sprint
Two weeks to find where AI pays off in your business, with a working prototype at the end, not a slide deck.
Principles
Measured, not guessed
Every system ships with evaluations you can read.
Your data stays yours
Private deployments, no training on your data without consent.
Model-agnostic
We pick the model that fits the job, and can switch when a better one arrives.
People in the loop
The AI handles volume; your team keeps the judgement calls.
How we work
Five steps from idea to a product your team relies on. Scroll to watch each one produce its work.
- 1
We sit with your team, map the workflow, and find where AI actually pays off.
- 2
A written plan: scope, data, cost, and the quality bar we will hold ourselves to.
- 3
We design the product around the people who will use it, before any production code.
- 4
Agents, integrations, and interfaces, built production-grade with security and monitoring.
- 5
Every release is measured against real cases, and ships only when it clears the bar.
What we build
Examples of the systems we build. The traces below are illustrations, not client work.
Support agent
Resolves routine tickets end to end and escalates the rest with a summary.
- Ticket #1042: refund requestreceived
- Checked orderdone
- Refund issueddone
- Customer notifiedresolved
- Ticket #1043: billing disputereceived
- Escalated to a person, with a summaryhanded off
Document intelligence
Reads contracts, invoices, and forms and turns them into structured data.
Sales copilot
Researches accounts, drafts outreach, and keeps the CRM current.
- Account researchedpublic site, past notes
- Outreach draftedready for your review
- CRM updatedcontact and next step
Internal knowledge assistant
Answers staff questions from policies, handbooks, and past tickets.
What should AI do for your business?
Tell us the workflow. We'll come back with an honest view of what AI can do there, what it will cost, and how we'd measure it.
or write to [email protected]