Custom AI & model development
Bespoke small language models, custom tokenizers and architectures fitted to your data.
0.5B–14B parameters · QLoRA / DoRA · full weight transfer
General models are trained for the average case. We build small language models and task-specific architectures trained on your vocabulary, your documents and your edge cases, then hand you the weights.
What you get
- A fine-tuned model (0.5B–14B) with full intellectual property transfer
- Custom subword tokenizer cutting sequence length by 25–40%
- Evaluation suite built from your real workloads
- Training code, configs and reproducible runs
How it works
- 01 · Review sample data and define baseline quality criteria
- 02 · Adapt tokenizer and vocabulary to your domain
- 03 · Parameter-efficient or full-parameter training on private datasets
- 04 · Measured handover: weights, code and evaluation report
Good fit if
- Off-the-shelf models fail on your terminology
- You need ownership of weights, not an API dependency
- Inference cost or latency rules out frontier models
Deploy custom AI on your terms.
Tell us about your target silicon, data residency constraints, or latency requirements. Rochon engineers will provide a clear evaluation of what is viable, with power and latency models and deployment blueprints.