We take foundation models like GPT and Llama and shape them into precise, production-ready tools built around your data, your domain, and your users.
Six core services that turn raw language models into enterprise-ready solutions.
We train foundation models on your proprietary datasets so they speak your domain's language with authority — not just generic fluency.
When no existing model fits, we design and train bespoke architectures tuned for your exact task constraints and compute budget.
We build prompting systems — chains, templates, and fallbacks — that reliably get the best output from each model layer in your pipeline.
We ship your models to production with quantization, caching, and batching strategies that keep latency low and inference costs under control.
We wire your LLM to a retrieval layer over your internal knowledge, so it answers questions with facts — not hallucinations.
We define eval harnesses and deploy live monitoring so you catch quality drift and safety failures before end users do.
Language models that understand your world, not just the general one
Domain-tuned assistants that resolve complex customer queries without escalating everything to a human.
High-volume copy, product descriptions, and internal documents generated in your brand voice — at a fraction of the manual effort.
Extract key clauses, flag risks, and summarize dense legal or technical documents in seconds.
Let employees query your internal wikis, reports, and product docs using plain language — with cited answers.
Search that understands what users mean — not just what they typed — across all your content sources.
Route, classify, and act on unstructured inputs — emails, tickets, forms — without manual triage.
Tell us what you need to automate, understand, or generate — we'll build the right LLM solution.
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