Precision Ontology. Purposeful AI.

Your data already has the answers. You just can't reach them.

Your supplier list lives in Excel. Contracts are buried in PDFs and between your CRM and ERP exports you are in your fourth VLOOKUP for an answer.

Lontiq connects all of it automatically into a single knowledge graph you can actually use as structured, traceable AI memory.

Get Early Access See how it works

Built with

Memgraph

Google Cloud

app.lontiq.com

Lontiq demo — ask questions and see answers update the knowledge graph in real time

The real problem

Most companies don't lack data. They drown in it. The answer to "Which customers haven't ordered in 90 days?" exists — split across a CRM export, dozens of emails, two Excel sheets, and a PDF report nobody remembers saving.

Teams spend hours merging, cross-referencing, and second-guessing. And when someone asks the same question next month, the whole process starts again.

Not just another AI tool. A map of everything your files know.

Lontiq reads your files — Excel, CSV, PDF, whatever you've got — and builds a knowledge graph: a structured web of relationships between your suppliers, projects, clients, products, and teams.

Every node is a fact from your data. Every edge is a real relationship. Nothing is hallucinated. When you ask a question, you get an answer you can trace back to the exact cell, row, or page it came from.

How to turn scattered files into a knowledge base

Create a Space for your team

Create a Space for your team to work together and to provide the correct context to the AI

Drop your files, assign visibility

Excel, CSV, PDF and the actual files your team already uses. It reads your files and builds a knowledge graph automatically.

Ask it anything. Verify everything.

Ask in plain language or send the context via API so every answer links back to the source and provides you the path from question to the answer.

For developers & AI teams

Already building AI?
Lontiq becomes the structured context layer to power your AI solutions.

Use Lontiq to create Context Spaces - structured, relationship-aware knowledge layers that your existing AI solutions can consume directly via API. Connect your AI agents, power your copilots, and plug into your MCP server - all backed by context that updates as your data evolves.

Context Spaces via API

Power your AI agents

MCP-ready connections

→ View API Documentation → Talk to us

What makes this different from a standard AI chatbot?

Traceable, not probabilistic

AI chatbots generate plausible-sounding answers. Lontiq returns facts from your data with a traceable path back to the source and the logic for generating the answer. If an answer says "Supplier X is 14 days late on PO-0847," you can see the path from question to answer.

Relationships, not keyword search

Search tools find documents. Lontiq understands how entities in your data relate to each other — and can answer questions that span multiple files.

No hallucinations by design

The knowledge graph is built deterministically from your data. There's no generative step making things up. If it's not in your files, it won't appear in an answer.

Built for teams building reliable internal AI.

Operations teams juggling supplier data Finance reconciling reports across systems Project managers tracking dependencies Sales ops untangling CRM exports Procurement teams auditing contracts Anyone tired of VLOOKUP across 6 tabs

From the founder

I kept watching teams lose entire afternoons reconciling Excel files, PDFs, and system exports — just to answer questions their own data could already answer.

The problem isn't a lack of data. It's that critical information lives across disconnected files that were never designed to work together. Even when the answer exists, it's buried behind hours of manual lookup.

Lontiq removes that friction. It structures your existing files into a context space that allows you to get answers grounded in your data and fully traceable both to the source and the logic that generated the answer.

If this sounds like a problem you deal with, I'd genuinely love to hear how you handle it today.