CUSTOM MODEL TRAININGCustom Model Training for Your Own Data
We train a custom model on the files you already have. Not a generic tool that guess for everyone. If you need forecasts, text sorting or image checks, we can plan it and build it with you.
def train(dataset, config): model = build_model(config) model.fit(dataset.train) score = model.evaluate(dataset.test) save(model, score) return score150+
Projects delivered
2012
Year we started
80+
Clients
98%
Client satisfaction
About Custom Model Training
Custom model training means we teach a computer program to find patterns in your examples. A model is just a file that looks at new data and gives an answer, like a score or a label.
Companies use custom model training when a ready-made tool don't fit their work. Your invoices or product photos are not the same as a public demo. We keep the talk simple so you know what you are paying for.
Why Choose Custom Model Training
Built on your examples
The model learns from your files, not only from a generic public set.
You keep the model
You get the trained file and the notes, so your team can use it later.
We start small
First we try a simple version. If it works, we improve it. If not, we say so.
Fits your software
The result can sit behind an API that a website or internal tool can call.
Clear from day one
We tell you what data we need, what we will train, and what you get back.
What We Do With Custom Model Training
We help you to prepare the data, train the model and put it where your product can use it. Usual tools are Python, PyTorch, TensorFlow, scikit-learn and Hugging Face. Docker and AWS if it needs a server.
Prepare your data
We clean lists, photos or text and split them so training can be repeated.
Train and check
We train in PyTorch or TensorFlow, then check if the answers are good enough.
Fine-tune a starting model
Sometimes we start from Hugging Face and teach it your labels.
Connect it to your app
We wrap the model in a Python API so an app or website can call it.
Benefits for Your Business
Answers that match your work
The model sees your kind of data, so the result is closer to what your team needs.
Less manual checking
Repeat tasks like sorting tickets can run without someone opening every row.
You can reuse it
Once it is trained, other tools in the company can call the same API.
Easier to change later
When your labels change, we can train again on the new examples.
Ready to talk?
If you have a idea for custom model training, send us a short note. We will look at it and tell you the next step, even if a simple rule is enough for now.
Contact us