LLM Development
Engineer, adapt and deploy large language models for your domain. LLM applications, RAG, fine-tuning and evaluation, with multi-provider routing so you are never locked in.
LLMs, engineered for your domain
A general model rarely fits a specific domain out of the box. LLM development is the work of grounding, adapting and evaluating a model until it is accurate and reliable for your task.
We build LLM-powered applications, add retrieval and fine-tuning where they earn their keep, and route across providers so you keep control of quality, cost and data residency.
- LLM applications grounded in your data and systems.
- Fine-tuning and evaluation where they measurably help.
- Multi-provider routing so you avoid lock-in.
What we build
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LLM applications
Extraction, drafting, classification and reasoning features built around a language model and evaluated against real inputs.
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RAG and fine-tuning
Retrieval to ground answers and fine-tuning to adapt tone and domain, applied only where they earn their place.
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Routing and evaluation
Multi-provider routing plus an evaluation harness so you control cost and quality without vendor lock-in.
Frequently asked questions
Should we fine-tune or use RAG?
Usually retrieval first, fine-tuning only where it measurably helps. We start with the cheaper, faster option and add complexity when the evaluation shows it is worth it.
Are we locked into one provider?
No. We build with multi-provider routing so you can move between hosted and open-weight models as price, quality and data-residency needs change.
How do you measure quality?
With an evaluation harness that scores outputs against representative inputs, so improvements and regressions are visible rather than anecdotal.
Build on LLMs without the guesswork
Tell us your task. We will engineer an LLM solution that is accurate, evaluated and provider-independent.