Consultancy

We help individuals and businesses build AI that works — and that they still own afterwards. No retainers for slide decks, no black boxes you can't run without us.

Who We Work With

The technical work overlaps more than you'd think. What differs is the constraint you're optimising against — time and confidence on one side, risk and cost on the other.

Individuals

Students, researchers & solo builders

You've got the idea and enough skill to start, but the gap between a working notebook and a system you'd let someone else use is wider than it looked. That's the gap we work in.

Project mentoring Regular sessions on a project you're actually building — scoping, architecture, and the decisions that are hard to reverse later.
Code & architecture review A pass over your repo with written findings, ranked by what will hurt you first.
Research support Experiment design, evaluation that won't embarrass you at review, and reproducibility you can hand to someone else.
Portfolio & career work Turning half-finished projects into things worth showing, and knowing which ones to abandon.
Book a scoping call
Businesses

Teams, startups & institutions

Someone has asked you to "add AI" and the honest first question is whether you should. We'll tell you when the answer is no, and build it properly when the answer is yes.

Feasibility audit A short, fixed-scope engagement that ends in a written verdict: what's achievable, what it costs, and what will break.
System build RAG pipelines, agent workflows, and internal tooling — built to run on your infrastructure, handed over with documentation.
Private deployment On-prem or air-gapped model serving for teams that can't send data to a third party. Legal and compliance keep sleeping.
Team enablement Our certification tracks delivered privately, so your engineers can maintain what we built.
Request an audit

What We Actually Do

Retrieval & RAG

Document pipelines, hybrid search, reranking, and evaluation that separates retrieval failures from generation failures.

Fine-Tuning

Dataset construction, LoRA and QLoRA training, and honest evaluation — including telling you when prompting would have been enough.

Agents & Tooling

Tool interfaces, routing between models, budgets and guardrails, and trace logging so you can see what the thing actually did.

Private Deployment

On-prem and air-gapped serving, hardware sizing, quantization trade-offs, and benchmarking against what the vendor promised.

How We Work

Fixed scope, written deliverables, and an exit at every stage. If the honest answer is that you don't need us, you'll hear it in step one.

01

Scoping Call — Free

Thirty minutes on what you're trying to do. You leave with a straight answer on feasibility whether or not we work together.

02

Written Proposal

Scope, deliverables, timeline, and cost in writing before anything starts. Fixed price where the work is well defined.

03

Build in the Open

You get repo access from day one and a written update every week. No reveal at the end — you watch it get built.

04

Handover

Documentation, a runbook, and a walkthrough with whoever maintains it next. The goal is that you don't need us again.

Start a Conversation

Tell us what you're building and what's currently in the way. The more concrete the problem, the more useful the first reply — hardware you have, data you can't move, deadlines that are real.

Or just reach us directly — we read everything.