What we build
Bring us the routine. We’ll bring the product. Six things we build on one shared core, each one fitted to your data, your systems and your rules.
We scope a standard one to go live in up to 2 weeks. An assistant that answers from your knowledge base, qualifies leads or explains your offer. It runs on commercial API models, large or small, chosen for your budget and your data rules, and tells users it is an AI from the first message.
How it works : AI support and sales assistantsYes. Employees ask questions in plain language across drives, wikis and systems, and get answers with sources and access rights respected. For questions that span dozens of documents, we build a knowledge graph so the assistant can explain how things connect, not just quote a paragraph.
How it works : Search across company knowledgeYes. Scanned PDFs and images become structured data. OCR runs on AWS Textract, Azure Document Intelligence or Google Document AI, whichever cloud you already use, or fully on your own servers when documents can’t leave them.
How it works : Document extractionYes. We connect to your helpdesk, CRM or internal tools through their API, and the weekly summary, statistics and trends arrive on their own. Nobody spends Friday in spreadsheets.
How it works : Reports from your own systemsYes. Extraction, classification, category scoring, reranking and masking personal data before it reaches a cloud model. These are small, narrowly specialised models, not LLMs. First we look for a ready open model that already fits; if none matches closely enough, we fine-tune the nearest one on your examples, and when even that falls short, we train one from scratch. It stays yours and runs where your data lives. Planned timeline: up to 3 months.
How it works : Small private modelsMCP (Model Context Protocol) is an open standard that lets AI tools read and update your systems directly. We’re building a ready MCP core: connect your database, spreadsheets or CRM, and your team can query, filter and analyse them from the AI tool they already use. Early access for now.
How it works : Talk to your data from Claude, ChatGPT or CursorA 30-minute call. Bring one real process or one sample document. We’ll tell you whether it needs an LLM, a small model, or just a script, and what it would take. No deck.