Theia Insights raises $8M to replace the static industry classification systems

"Theia Insights has spent four years building an alternative to outdated classification systems, raising $8 million in a Series A to accelerate its development. The company’s core technology ingests regulatory filings, earnings transcripts, and financial data, applying proprietary NLP and quantitative modeling to extract business activities."

"Unlike static classification systems, Theia models companies as multidimensional entities, tracking 'who does what by how much' across all of a company's revenue lines as those lines shift over time. This approach provides a more nuanced understanding of corporate structures."

Theia Insights, a Cambridge-based AI company, has developed a self-learning economic map that models companies as multidimensional entities. Traditional classification systems like GICS and ICB are outdated and fail to capture the complexity of modern corporations. Theia's technology utilizes NLP and quantitative modeling to analyze various data sources, creating a dynamic ontology of the global economy. The company has raised $8 million in Series A funding, bringing total funding to $14.5 million, and aims to provide a more accurate representation of business activities and revenue streams.

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