Software · Consulting · Training · Books
We build the pipelines, models and products that take work off your team’s plate, and we price them so the savings arrive before the invoice does. Then we teach your people to run them.
Twenty minutes, no slides. You leave with a next step, even if it isn’t us.
Managed pipeline — retail client
What we do
Start wherever the problem is. Most clients begin with one lane and add another once the first one is paying off.
Products you subscribe to instead of build: a customer-experience platform, managed data pipelines and AI integrations.
Fixed-scope projects with a price agreed up front — websites, data integration, chatbots and data science work.
From your first pipeline to leading an AI programme: self-paced courses, 1:1 mentorship and workshops for whole teams.
The cheapest way to learn how we think. Practical books on data science and generative AI, delivered instantly.
How we work
Every engagement runs the same way, whether it is a website, a data platform or a team workshop.
You describe the problem. We tell you honestly whether we are the right people and roughly what it would cost.
Within three working days: what we will deliver, by when, and a price that does not move. Nothing starts until you approve it.
We deliver in weekly increments you can see. After launch most clients keep us on a monthly plan to run, fix and improve what we built.
The book
A practical guide to building with LLMs, from notebook to production
Most generative-AI books stop at the demo. This one starts there. You will build retrieval pipelines over real documents, evaluate model output properly, and learn where LLMs earn their cost — and where a plain regression model still wins.
In their words
Our month-end reporting used to take the finance team most of a week. The pipeline HavarTechPulse built has it ready by 8am on the first. Nobody has touched a spreadsheet export since.
Desmond explains the hard parts without dumbing them down. Eight weeks in, I shipped my first production pipeline and got the data engineering role I was interviewing for.
The one-day workshop was the first AI session our leadership team left with an actual plan — three use cases, owners and a budget line.
Next step
Book a free 20-minute call. If we can’t make it pay for itself, we’ll say so, and point you to someone who can.