Who owns the code and deliverables once the project is complete?

You do. On final payment you receive full ownership of the code, content, and any custom assets we build for this engagement.

Can this be combined with other AI & Machine Learning work?

Yes — llm integration & fine-tuning is often delivered alongside related ai & machine learning services; we'll scope it together if that fits your project better.

LLM Integration & Fine-tuning

Integrating or adapting a large language model for your specific use case, rather than using it generically.

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Integrating or adapting a large language model for your specific use case, rather than using it generically.

We treat llm integration & fine-tuning as its own scoped engagement inside our AI & Machine Learning practice — the architecture, integrations, and technology choices are decided for this specific use case, not inherited wholesale from a generic template. Every technical decision is made with your team's ability to maintain this afterwards in mind.

What we deliver

Integrating or adapting a large language model for your specific use case, rather than using it generically.
A clear scope, timeline, and estimate agreed before development starts
Clean, documented code with a handover your team can maintain independently
A short post-launch support window to catch issues that only surface under real usage

Why it matters

Scoped to your requirements

LLM Integration & Fine-tuning work is planned around your specific use case, not a generic template.

Clear ownership

You own the code, content, and any custom work once the project is delivered.

Built to be maintained

Documented, clean delivery so a future developer can pick it up without reverse-engineering it.

Technology we use

PythonPyTorchHugging FaceLangChainVector databasesDjangoFastAPIDocker

Frequently asked questions

Timelines depend on scope, but we give a concrete estimate after a short discovery call rather than a generic range — most ai & machine learning work of this kind runs from a few weeks to a couple of months.

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