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Onthos

Onthos builds a dynamic ontology platform that transforms fragmented financial information into connected, evidence-linked intelligence. The platform enables users, applications, and AI agents to query and reason across a firm's entire corpus without reprocessing raw data for each question. It distills information into typed facts, each linked to its original source, and supports use cases like tracking supply-chain relationships and market trends.

Cambridge, United Kingdom · HQ
Founded 2022253K+ followers
Updated 10 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Financial firms often have fragmented information across markets and within the firm, leading to trapped knowledge, partial answers, and repeated costs. Investment teams need to answer questions that span multiple sources, but raw files and unstructured data make it difficult to extract and connect facts efficiently.

Solution

Onthos builds a living ontology from a firm's information sources, turning them into connected, evidence-linked intelligence. The platform processes raw files, extracts typed facts, and links each fact to its original source, creating a knowledge graph that evolves as new information arrives. Users, applications, and AI agents can then query across the entire corpus, retrieving linked facts and evidence without rereading raw text for every query. This approach reduces the cost of information retrieval while enabling more accurate, context-aware answers.

Target Audience

Primary customers are index providers, banks, asset managers, and hedge funds that need to connect fragmented market and internal data for investment research and decision-making.

Features

  • Builds a living ontology from a firm's sources, including companies, products, technologies, business models, and themes, with relationships and metrics
  • Distills information into typed facts, each linked to the original source passage for traceability
  • Supports querying by users, applications, and AI agents across the whole corpus, with evidence accumulation
  • Includes an NLP pipeline designed around the ontology to process raw files and serve facts at scale
  • Uses the Theia Insights Industry Classification (TIIC) taxonomy for industry and theme classification
  • Provides a distilled summary view and typed facts with hover/tap functionality to bring source documents to the front
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