Ontoic is a knowledge ecosystem. Research any topic, integrate what you find, ask questions and get source-based answers — across your graph or anyone else's. Build agents to fill the gaps. Share knowledge with your team, your clients and the world.
Your tools collect.
They don't connect.
Your research lives in one place. Your notes in another. Your projects elsewhere. Your questions go unanswered. Your gaps stay hidden. Your team works in parallel, never together. None of it compounds — it just accumulates.
Ontoic connects all of it. And connects you to everyone else building knowledge in the network.
From first research to finished deliverable — and everything that builds a network between them.
Search the web, upload documents, paste links, add notes. Everything lands in your graph — sourced, typed, and connected to what you already know.
A note you wrote today ends up next to a document from six months ago — because they're about the same thing. No filing. No tagging. Your sales rep can search using sales language and surface an engineering doc they'd never have found. The graph organises around meaning, not folders.
Ask anything across your graph — or any public graph you have access to. The AI works exclusively from curated human knowledge. No hallucination from training data. The better the graph, the better the answer. Your deep expertise becomes a structural advantage — and a product others can query.
Name an agent. Give it a brief. It reads your graph, finds what's absent, and keeps filing. Point it at your own research, your team's space, or any public graph in the network.
Ask a question of any public graph and get an answer grounded in their actual sources. Trace why they think what they think — from conclusion back to evidence. Pull what's relevant into your own. Build on minds, not just documents.
Every document you send a client is a compression — a million words of research reduced to ten thousand because volume meant inefficiency. Export your space alongside any report or presentation. Now the full depth is accessible. Clients ask exactly what they need. They get exactly what you know.
Name an agent. Give it a brief. It reads your graph — and any public graph it has access to — finds what's absent, and keeps filing. One agent or several, running in parallel. Every source logged. Nothing unexplained.
Tracks emerging research in materials science. Finds gaps against your existing graph. Runs every 6 hours.
Monitors competitive landscape across three public strategy spaces and your own.
Deep-reads a reading list. Extracts theses, counterpoints, and missing arguments.
When someone builds a public knowledge graph on Ontoic, it enters a network of queryable information. Ask across your own research, a collaborator's space, or any public graph — the same interface, the same source-grounded answers.
Make your space public and set a price. Researchers, analysts, and agents pay to query it. Your graph keeps earning after you stop working on it. Deep expertise has always had value — now it has a market.
You control what's public. You control who can access it. You set the price.
Every public graph on Ontoic is queryable — the same way you query your own. Find a researcher whose work is relevant. Ask their graph a question. Follow their threads. Pull what's relevant directly into your own graph.
The deeper the network gets, the more powerful every graph in it becomes.
Invite collaborators into a shared space. One graph, one agent, one source of truth. The space agent reads everything everyone adds and finds what the group is missing — whether or not anyone is in the room.
Private spaces for your team. Public spaces for the network.
Export any space as a queryable link. Send it alongside a report, a presentation, or on its own. Anyone with access can ask your knowledge base a question and get a source-grounded answer — no Ontoic account required.
Set it to paid. Agents and users query it as a resource. Your research doesn't end when you ship it. It keeps working.
For anyone who builds knowledge worth using — and wants to put it to work.
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