We fine-tune open models on your data and deploy them where they have to run: your own servers, laptops or phones, fully offline if needed. Fixed price, scoped per project, typically as an AI MVP from $12,000.
What we build
- Fine-tuning open models (Gemma, Llama and others) with Unsloth on your examples.
- Compiling models for on-device use (LiteRT, Ollama).
- Evaluation against a held-out set before and after.
- Apps around the model: mobile, desktop or API.
Read RAG vs fine-tuning.
Good fit if
- You need a model that runs offline or on-device.
- Prompting a large model is too slow, costly or inconsistent.
- Your data cannot leave your servers.
Built before
Madad: a 4B Gemma model fine-tuned with Unsloth and compiled to LiteRT, running a fully offline Pakistan Sign Language to Urdu/English interpreter on Android at under 2 seconds per utterance.
How we work
- A free scoping call, then a written fixed-scope quote within 24 hours.
- Working software in your environment every week.
- Handover with deployment, monitoring, documentation and full transfer of code and IP. You own everything.
Founder-led: Saif Ur Rehman, a senior engineer with 5+ years and 20+ products shipped, scopes and builds your project himself. See the case studies or book a call.
Frequently asked questions
Do I need fine-tuning or RAG?
For answers from your documents, RAG is usually better and cheaper. Fine-tune when you need a style, format or skill the base model lacks, or a small model that runs offline. See RAG vs fine-tuning.
Can the model run without internet?
Yes, small fine-tuned models can run fully on a phone or laptop.
How much does it cost?
Scoped per project, typically from $12,000.