Custom AI
Training Your Own AI Models
We train and fine-tune AI models from open weights (Llama, Mistral, Qwen) for your business's specific use cases. The result is a model you own, with no dependency on external APIs or recurring per-token costs.
Why Choose This Solution
No dependency on external APIs
Your model runs on your own infrastructure or one you choose, without depending on a third party's availability or pricing.
Specialized in your domain
Fine-tuning on your own data so the model understands your terminology and specific use cases.
Predictable costs
No per-token billing: the cost is infrastructure-based, not variable per use.
Full data control
No sensitive data leaves toward an external provider during training or inference.
State-of-the-art open-weight models
We work with Llama, Mistral, Qwen, and other open models that compete with proprietary options.
Frequently Asked Questions
What is fine-tuning and how is it different from using ChatGPT directly?
+
Fine-tuning means re-training a base model on your own data so it specializes in your domain. Unlike using the ChatGPT API, the resulting model is yours and doesn't depend on an external provider.
Do I need a lot of data to train my own model?
+
It depends on the task, but in many cases a few hundred to a few thousand quality examples are enough for effective fine-tuning on top of an already-trained base model.
What infrastructure is needed to run the model?
+
It depends on the size of the model chosen. We advise you on choosing the optimal balance between performance and infrastructure cost (your own GPU or cloud-based).
Why use open-weight models instead of GPT-4 or Claude?
+
When usage volume is high, the per-token cost of proprietary APIs exceeds that of running your own model. This also applies when data confidentiality is critical.
How long does it take to train your own model?
+
A fine-tuning project for a narrow use case can be completed in 3-6 weeks, including data preparation, training, and evaluation.
What happens if the trained model doesn't perform as expected?
+
We iterate on the dataset and hyperparameters with objective evaluations until reaching the agreed quality level before final delivery.
Can you train multimodal models (text and image)?
+
Yes, we work with open-weight multimodal models when the use case requires it (for example, product image classification).
Does the trained model stay updated automatically?
+
Not automatically; we offer periodic retraining as a service when the data domain changes over time.
Contact
Start Your Project
Tell us what you need. We respond in under 24 hours.