AI that runs on your data, not a generic chatbot

AI agents, copilots and document assistants trained on your own manuals, files and systems — built to answer correctly and cite where the answer came from, not guess.

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What we build

  • Document AI & knowledge assistants — trained on your own manuals, SOPs and files, with every answer citing its source (see Manufacturing AI)

  • AI agents & copilots — multi-step assistants that complete tasks, not just answer questions

  • WhatsApp & chat AI — customer-facing chatbots trained on your products and policies (see Business Process Automation)

  • AI retrofits for existing systems — bring AI capability into the ERP, database or tools you already run, without a rebuild

How we approach AI projects

We build with retrieval-augmented generation (RAG) so answers are grounded in your actual documents and data — never a generic internet-trained guess. Your data is used only to power your own system, never to train shared or third-party models. See our security practices for detail.

Frequently asked questions

What happens if the AI gives a wrong answer? Answers are grounded in your source documents with citations, so any answer can be verified. If the underlying document is wrong or outdated, that's what gets fixed — the AI is only as good as what it's given.

How is this different from just using ChatGPT? A general chatbot doesn't know your internal documents, pricing, SOPs or systems. We build AI that's grounded specifically in your data, deployed as part of your own product or internal tools.

How long does an AI project take? A focused pilot — one use case, one data source — typically launches in 3-6 weeks, so you can prove value before expanding scope.