Theia Insights
Onthos, formerly Theia Insights, sells AI that classifies companies by what they actually do. Asset managers, index and ETF providers, investment banks, hedge and quant funds and wealth platforms use it in place of static industry codes for research, portfolio construction and risk.
Its tools cover industry classification for public and private companies, thematic factor models, Concept2Universe, which turns an investment thesis into a list of companies, and an infrastructure product that links a firm's own data into the same knowledge layer. Customers reach it through a platform, an API and an MCP connection for AI agents.
Onthos names no customers on its site. Its privacy policy allows customer uploaded data to be used to train its AI unless the customer opts out. Theia Insights Ltd. trades as Onthos and is based in Cambridge, UK.
Capability Axes
Capability grades
15 of 15 axes rated · 6 graded A or B
Natural language processing builds an ontology that describes each company by what it actually does, replacing static industry codes, and the classification, thematic factors and Concept2Universe tool all rest on it.
Index membership and trading at client firms depend on these classifications, yet whether a material reclassification gets human review before release, or customers hear when exposures shift, isn't described.
Each classification traces back to the company disclosures behind it, but no agreement rate against expert classification or stability analysis is published.
Customers are described only by type, from index providers to hedge funds, with no names or figures, and the named investors say nothing about results.
Uploaded customer data can be used to train and fine tune Onthos's AI systems unless the customer emails to opt out, which matters most for the infrastructure product that connects a firm's internal data.
The September 9, 2026 privacy policy covers the platform, API and MCP access, keeps API and MCP records for up to two years and names the two Theia Insights entities as controllers.
The main pages name no certification, attestation or trust center for a supplier that banks and index providers will vet before onboarding.
Benchmark inputs are regulated in several markets and index providers are customers, so the classification layer sits inside that framework without Onthos naming any rule it meets.
A company placed in a favored theme draws index inclusion and fund flows, and firms with thin disclosure or non English reporting may be classified less accurately, with no breakdown by size, region or language published.
Firms whose exposures are misrepresented have no stated route to challenge the classification, and Onthos publishes no guarantee for one that proves wrong.
Filings, earnings transcripts and press releases are the named inputs, so a buyer can check outputs against the same documents, but no model provider or host is named.
Delivery runs through the platform, an API and an MCP connection for AI agents, though no partner platform or data format is listed.
Queries and uploads reveal what a firm is researching, and data may be processed outside the user's country, yet no host, region or residency commitment is given.
Classification data licensed at scale and infrastructure built on a firm's own data are very different products, and neither has a published price or billing unit.
Asset managers, index providers and investment banks each have a client page, among five, and both public and private companies are classified.
Compared With
Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.
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The index publishes no overall score or ranking. See what we assess and the methodology.
Pricing
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