Isometric line drawing of five stacked data layers, with a fully connected graph of six nodes on the top layer and faint contour lines in the background.
Ontology
One model of the market, and of your firm’s research.
Agents work from it, so answers arrive cited and inside your permissions.
Nothing here is bolted on.
Each layer stands on the one below it. All four were designed together rather than integrated later.
Diagram of the AllMind stack in four layers: research surfaces on top, then the ontology engine, the ontology graph, and the data and entitlements underneath.
- RESEARCH SURFACES
- ONTOLOGY ENGINE
- THE GRAPH
- DATA & ENTITLEMENTS
The market is stored as objects, not as text.
Diagram of typed entities and named relationships: an earnings call guides a margin metric, which pressures NVDA; a second-tier supplier supplies NVDA; the firm’s own note is flagged.
NVDA · COMPANY
- Sector
- Semiconductors
- Gross margin guide
- 73.5%
- Supplier
- Olympic Circuit
- Coverage
- 14 brokers
- Last filing
- 8-K · Aug 2
- Your note
- Flagged
The same company, whatever you’re reading.
NVDA in an 8-K, in an earnings call, and in your own note is one company, not three mentions of a name. Anything learned in one place attaches to the other two.
Every link says what it does.
The Q2 earnings call guides gross margin, and gross margin pressures NVDA. Those links are stored with their names, so an answer about that margin arrives with the call already attached.
Sources in. Cited answers out.
Diagram of sources flowing into the ontology and cited answers flowing out. Between them sits a schema of typed objects: a transcript, the company it covers, your own thesis, and the ontology they resolve into.
750M+ documents, one set of objects.
Filings, transcripts, broker notes, and live feeds from 40+ exchanges resolve onto the same objects. A new 10-Q attaches to the company it covers and to the margin thesis you already have on it.
Retrieval that knows where to look.
A general assistant searches, then reasons over whatever comes back. The ontology already knows which filing or transcript answers each part of a question, and every number in the answer opens to the passage it came from.
The graph updates when the market does.
When a broker revises an estimate, every comp table and thesis built on the old number is flagged, including yours.
Every product you open runs on the Ontology.
Diagram of AllMind surfaces (Thesis Monitor, Grids, Reports, Data Rooms, Document Search, Agent Studio) consulting the ontology, which draws on 6,000+ sources, your firm’s data through scoped access, and your entitlements.
Ask across everything you cover.
Document Search, Grids, and Agent Studio read the same objects, whether you ask now or leave an agent running overnight. One question can fan out from a single name to your entire universe.
Bring your firm into the graph.
Your notes, models, memos, and positions become objects in the graph, the same as a 10-K. Snowflake, Databricks, and S3 connect through a scoped IAM role and are queried in place, so nothing is copied out of your environment.
Plug in what you already pay for.
Broker research, Expert Insights transcripts, and market data come in under your entitlements, whether you already hold them or we arrange them. Aftermarket research is included on a delay, with no entitlement of your own.
Encode your process as skills.
Your earnings-day checklist becomes a skill. So does the way your desk builds a comp set, and an agent runs either one the same way every time.
Roles decide what an agent can see.
Deal walls and restricted lists map to roles, enforced in the graph rather than in the prompt. An agent inherits the role of whoever ran it and can never widen it, so an agent running for an analyst who is walled off a name never retrieves it. Every access is logged.
Your data stays yours.
Your data is never used to train a model, and every vendor in the path runs under zero data retention. SOC 2 Type II certified, AES-256 at rest and TLS in transit, customer-managed keys, tenant isolation, and third-party penetration testing, with ISO 27001 and GDPR planned for 2026.
The demo runs on a name you cover.
Request a demo and we will start from the filings and end at your own note.