I train your custom AI model, put it in production, and build the interface your users open every day.
You have data. What you do not have is a labelled dataset a model can learn from, and nobody wants to own that part, so the project stalls before training starts.
A general-purpose API cannot help, because the thing you need recognised only exists in your own data and no public model has ever seen it.
The model scores well in a notebook and nowhere else. Putting it behind an API with monitoring is a separate job, and it is the one that never got scoped.
It finally runs, and your team still cannot use it, because there is no screen. So it goes back on the shelf.
You have a product and want AI in it, built on models that already exist. Nothing needs training.
Agents and features built on the Anthropic and OpenAI APIs with LangGraph, LangChain or N8N, wired into your product properly.
You need the product itself built: interface, backend and database. No AI in this one.
Frontend, backend, database and deployment, built by the same person who would build the AI layer later.
You are a research team, in a lab or inside a company. You need the trained weights and the data behind them, and nothing else.
Dataset curation and model training, delivered as weights, code and evaluation. No deployment, no interface.
The model you need does not exist yet, and it has to run in production — not in a notebook.
I build the dataset, train the model, and ship it behind an API with monitoring and a pipeline you can rerun.
5
laboratories running it in production
Read the caseFreelance engagement. QR product software, shipped end to end in four months.
Read the case81%
top-1 on ImageNet-1k, trained from scratch on 4 GPUs
Read the caseScoped contracts, fixed price, remote from Valencia across EU and US timezones. I take one project at a time, which is why the delivery date I quote is the date you get. I am also cofounder and CTO of Mycrospace — that is where the production experience comes from, and it is the reason I will not run two client projects in parallel.
Tell me what you want to build. I will tell you if I am a fit.