How an M&A intelligence platform automated UK deal capture.

Headcount capped speed, freshness, and coverage

The customer runs a UK M&A intelligence platform, used by corporate finance teams, advisory firms, private equity, and corp-dev shops to research transactions and ownership structures. Until recently, every deal on the platform was captured manually: a research team read each announcement as it appeared in specialist trade-news sources, classified it against the platform's deal-capture taxonomy, identified every company involved, and entered the structured record into the platform.

The process worked but constrained the product. Every transaction sat behind researcher hours before reaching the platform, and headcount limited three things at once: the share of the UK M&A market, the freshness of the data, and the rate at which the customer could grow coverage further.

The brief was straightforward: produce the same structured record automatically, at the speed of the news cycle rather than the speed of the team.

Three stages mirror the manual workflow

Veridion built an end-to-end pipeline that mirrored the manual workflow in three automated stages.

The extraction stage applies Veridion's narrative-extraction models to each news source and pulls the seven structured fields the platform requires (bidder, bidder parent, target, target parent, announcement date, close date, and consideration in GBP), validating each output against a strict schema and retrying where extraction falls short.

The classification stage applies the platform's existing deal-capture taxonomy (Development Capital, Acquisition, Merger, and Investor Buy-Out) to every transaction, with the rules unchanged from the manual process.

The resolution stage matches every bidder, target, and investor to a resolved entity in Veridion's company knowledge graph and enriches each with country, industry classification, and a generated descriptive summary. For private investors and edge-case entities outside the canonical graph, a structured web-search pipeline surfaces the same attributes from open sources.

The full pipeline was validated against a 300-article test set spanning the three primary trade-news outlets and reached production hand-off in 13 business days.

Capture now runs at the news cycle's clock

Veridion's pipeline cleared every threshold the customer had set for production hand-off.

The platform now captures UK M&A deals as a continuous feed. Each announcement that reaches the wire is read, classified, and resolved automatically against the same fields, the same taxonomy, and the same graph identifiers the platform's previous workflow produced. Freshness and coverage are no longer bounded by the size of the research team.