Stop missing the opportunities you can't see.

M&A and PE teams spend weeks on manual sourcing across fragmented, outdated databases. Closedata cross-references official financials, ownership structure, succession signals and market context in a single conversational copilot, returning in seconds the companies that actually match your thesis, including the ones no one announces.

It is not a database with filters. You describe your thesis in plain language and the AI structures the search, validates financials, maps ownership and generates proprietary scoring. Instead of exporting lists to Excel, you walk away with qualified targets, ready-to-share one-pagers and an integrated pipeline.

SABI and similar tools are accounts repositories. Closedata uses these sources but adds the intelligence layer: natural language, deal scoring, succession signals, off-radar opportunity detection and a built-in deal workflow.

Financials come from official registries and filed accounts (Informa D&B, Iberian commercial registries), updated the moment new filings and registry changes land. We cross-check each company against multiple sources to validate EBITDA, revenue and balance sheet, and always show the source and date of every data point.

We cross four layers: financial (EBITDA, revenue, ratios, history), structure (cap table, concentration, cross-holdings), people (shareholder age, team, succession) and signals (news, web, governance, ownership changes, sector trends).

The Deal Score is our proprietary 0 to 100 score that ranks every company by attractiveness as an M&A target. It combines financial strength, succession risk, recent ownership changes, growth signals and sector fit. Each component's weight can be tuned to your thesis.

Usually less than a week. We configure your thesis, integrate your workflow and memo templates, and you can start running queries on day one. Larger teams include dedicated training and CRM setup.

We combine frontier language models for the conversational layer with proprietary models trained on Iberian financial and M&A data for scoring, signal detection and enrichment. Sensitive data is never used to train public models.

We estimate shareholder age, map capital concentration, absence of successors in the family or management, tenure in role, recent cap table changes and external signals (news, team changes, new holding companies). When several signals align, the company rises in the succession ranking.

Today our focus is Portugal and Spain, where we have the deepest market coverage. Europe, the Middle East, Africa and Latin America (starting with Colombia) are on the near-term roadmap.