Dump in your notes, papers, PDFs, and ideas. The graph connects them automatically. Ask questions and get answers cited back to your actual sources — not training data. Run deep research that reads your graph, finds the gaps, and builds on what you already know.
they don't connect
Your tools collect.
They don't connect.
Most of the work you've ever done is lost. Notes written and never retrieved. Papers read and forgotten. Ideas had in one context and unavailable in another.
AI tools compound the problem. They answer from training data — opaquely, without knowing where the information came from. You can't verify the output. You can't cite it. You can't build on it.
Ontoic connects all of it. Every answer traces back to a source. Every source traces back to a node. Every node traces back to something you chose to engage with.
- ▸researchscattered across tabs, folders, and platforms — never retrieved
- ▸pdfsstored, not read. embedded, not cited. lost in a folder
- ▸contextrebuilt from scratch on every task, every tool
- ▸ai answersconfident, uncited, and often wrong
- ▸documentsshipped dead — no way to ask the reasoning behind them
one graph.
From first note to finished deliverable.
One graph underneath all of it.
Everything routes through the same semantic layer. Context built in ask carries into write. Sources found in research become citations in the document. The bibliography falls out complete.
Everything in. Nothing lost.
Drop a note, paste a link, upload a PDF, clip a page with the extension, or capture directly from a Claude thread via MCP. Every source lands in your graph — typed, embedded, and connected to what you already know. Mobile, desktop, browser. No filing. No tagging.
The graph organises itself.
Every new node is described in the language of what already exists in your graph before embedding. A note from today lands next to a paper from six months ago because they're about the same thing. Dense clusters crystallise into nuclei: emergent summaries of what you actually think about a topic, built while you weren't looking.
Answers from your sources. Not training data.
Ask anything across your graph. Every claim is cited back to a specific node, every node traces back to its source. If the graph doesn't have it, Ontoic surfaces the gap as a research task rather than guessing.
Deep research. Every source logged.
Paste a reference list and Ontoic fetches every paper — full PDFs where available, abstracts and links where not. Or run a dossier: an agentic loop that reads your graph, finds gaps, pulls external sources, balances opposing views, and produces a fully-cited document. Every source traceable. Nothing hallucinated.
29 sources read · 5 external promoted · dialectical balance maintained
Think, write, debate. One context.
Ask, write, research, and debate share a single persistent context. Switch between stress-testing an argument and drafting a paragraph without losing what you've built. Slash commands let the AI draft, extend, or edit any section directly — drawing on your graph, your research, and your active thread.
A document that answers questions.
Export any document as a queryable link. Anyone with access can ask the underlying knowledge base a question and get a source-grounded answer — no account required. The reasoning behind every conclusion stays accessible. Not buried in an appendix.
no card required.
200 nodes · 20 ask queries/day · 10 research queries/day · web + mobile + extension · MCP server access.
Unlimited nodes · unlimited ask & research · dossier research mode · private spaces · queryable document exports · agent API.