Vectify AI Raises £1.1M to Automate Document and Financial Data Analysis
March 21, 2025
Vectify AI, a UK artificial intelligence company, has raised £1.1 million to develop its AI-powered platform for document and financial data analysis. The company is building software that enables businesses and financial professionals to automatically extract, structure, and analyse information from large volumes of unstructured documents and financial datasets — transforming raw document inputs into the structured, queryable data that supports informed decision-making without requiring manual data entry or processing.
Document-heavy workflows are one of the most persistent sources of operational inefficiency in financial services, legal, compliance, and corporate functions. Contracts, financial statements, regulatory filings, due diligence materials, correspondence, and transaction records contain enormous volumes of relevant information — but in a form that is designed for human reading rather than for machine processing. Extracting specific data points from these documents — covenant terms from a loan agreement, financial metrics from an income statement, key dates from a contract — requires either manual review that is slow and expensive, or the kind of sophisticated natural language processing and document understanding that has only recently become accessible through large language models.
Vectify AI's platform applies large language models and document understanding AI to these workflows, enabling users to define the data they want to extract from a class of documents and have the platform apply that extraction consistently across large document volumes. For financial analysis, the platform can process sets of financial statements, extract key metrics, and produce structured datasets that can be directly fed into financial models or analytical tools without manual data entry. For contract review and due diligence, it can identify and flag specific clause types, extract key terms, and produce summary outputs that reduce the time legal and commercial teams spend on routine document review.
The funding will be used to develop the platform's document understanding and data extraction capabilities, build integrations with document management and financial analysis tools, and grow the commercial pipeline.
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