AI Development & LLM Engineering
Fine-tune LLM on Custom Data — Without Re-launching Your Site
LLM apps that ground answers, control cost, and pass evals
Senior engineers · IST + EST overlapNDA on day 124-hour reply
The problem
What you're seeing
You need an LLM that talks like your brand, uses your domain language, and avoids the open-web tone of GPT defaults.
How we fix it
Our approach
We curate the training set, run LoRA / full fine-tunes (or RAG when fine-tuning isn't the right tool), evaluate on your own benchmark, and deploy with proper rollback.
What you get
Concrete deliverables, no fluff
Every engagement ends with measurable, documented outcomes — no black-box agency reports.
Evaluation harness with scored test cases
Implementation behind feature flags + rollback plan
Cost & latency dashboard wired to your observability
Hand-off doc covering prompts, models, and guardrails
Tooling we use
Industry-standard stack, no proprietary lock-in
OpenAIAnthropic ClaudeLangChainPineconepgvectorVercel AI SDK
More in AI Dev