Connect AI to your own data
General chatbots guess. They cite the open web and can’t tell you what’s true for your business. We build retrieval-augmented generation (RAG) systems that connect AI to your own documents, databases, and internal knowledge, so every answer is grounded in your data and cited back to a source your team can check.
The problem
Your business already has the data, and the AI tools already exist - they just don't talk to each other. Pasting sensitive documents into a public chatbot is a security risk, and the answers can't be trusted anyway.
Who it’s for
- Teams with a large, messy body of documents to search
- Compliance, legal, or research teams who need cited, verifiable answers
- Support teams who want bots trained on their actual docs
- Anyone who needs AI grounded in private data, not the open web
What we build
Grounded chat with citations
Every answer comes from your indexed knowledge, with sources your team can open and verify - never the open web.
Connections to your sources
We index your files, CRMs, and databases - PDFs, spreadsheets, emails, and more - and keep them in sync.
Plain-language search
Your team asks questions the way they would ask a colleague, and gets grounded answers back.
Customer-facing bots
Support assistants trained on your real documentation, so they answer from fact instead of guessing.
How it works
Index your knowledge
We build a searchable knowledge base from your documents and data, structured so retrieval is accurate.
Ground the model
The AI answers only from what it retrieves, and cites each claim back to a source.
Deploy where it belongs
In the cloud, or entirely on your own hardware if your data has to stay in-network.
Typical stack
InfoMuck - regulatory intelligence with RAG
Cited answers from 4,200 curated sources, with a living dossier per client - never the open web.
Questions
How is this different from ChatGPT?
It answers from your own data and cites every claim back to a source, instead of guessing from the open web.
What document formats can you use?
PDFs, spreadsheets, Word docs, emails, databases, and more - structured or messy.
Can we keep our data private?
Yes. A RAG system can run entirely on your own hardware, with each tenant isolated. See our Local AI service.
The other three
Have a project in mind?
Tell us what you’re trying to build - we’ll tell you honestly if we can help.