LLM development
Large language models are useful when they know your data and work inside your systems. We build RAG knowledge bases, company assistants, document processing, semantic search and private LLMs, and integrate models into products. We also test answer quality so the AI doesn't make things up.
12 services
AI Knowledge Base (RAG)
We build a knowledge base from your policies, contracts, manuals and price lists.
View servicePrivate Company ChatGPT
A closed assistant for employees.
View serviceTeam AI Assistants
We build a Custom GPT or Claude Project for one specific job: sales proposals, support replies, document checks, onboarding.
View serviceLLM Product Integration
We build LLM features into your product: an assistant, search over your documents, auto-fill, text extraction.
View serviceMCP Server Development
An MCP server (Model Context Protocol, the open standard AI assistants use to talk to external tools) lets Claude, ChatGPT or your own agent read your CRM, database, sheets and inbox.
View serviceDocument Processing
We build an AI pipeline that reads your documents, pulls out the fields you need and sends them to your accounting tool, spreadsheet or CRM.
View servicePrivate LLM
We deploy an open language model (LLM) on your server or a dedicated rented one and connect it to your documents.
View servicePrompt Engineering
We write system prompts and prompt libraries that keep a model on your tone, facts and rules.
View serviceSemantic Site Search
Classic search matches words.
View serviceAI Quality Testing
We measure how often your AI gets things wrong and fix it: test sets, answer evaluation, guardrails and, when justified, fine-tuning.
View serviceMachine Learning
We build machine learning models (programs that find patterns in your sales and customer history).
View serviceComputer Vision
We build systems that recognize objects, text and events in images and video.
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