The AI copilot for M&A deal sourcing in Iberia
Describe your thesis in plain language. Closedata returns ranked Iberian targets with validated financials, full ownership structure, succession signals and direct contacts. No CAE codes. No exports.
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Pet food · Lisboa, PT · Founded 2009
Balance Sheet Structure
€18.6M ▲ 22.4%
Liquidity & Cash
€2.4M ▲ 18%
By Gender
148 employees
By Contract Type
Against the entity
By the entity
Deliberation
Mgmt report
TRUSTED BY
With Closedata, I can review hundreds of targets in the time it used to take to qualify ten. Validated financials, ownership and succession signals, all in one place. It expedites the entire sourcing process.
Anytime there's an ownership change or a new filing in one of our watched companies, we see it within a day. For a search fund running on a small team, that proactive intelligence is a real competitive edge.
We loved that we didn't need three different tools for sector mapping, financial validation and contact enrichment. Closedata does it all, on the same dataset, with the same Deal Score. It just makes everything simpler.
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What you get
EBITDA, revenue, margins, ratios and net income from filed accounts. Every figure traces back to an official registry filing.
Full shareholder structure, ultimate owners, fund vehicles in the cap table and board composition.
Founder profiles, management seniority, and direct contact data: email, phone and website.
Succession indicators, risk flags and deal-readiness signals, scored deterministically and corroborated before they surface.
Bring a thesis. We will show you the targets no one else gives you.
The solution
Closedata is an AI copilot that understands natural language and turns your investment thesis into a structured search, cross-referencing financial, structural and behavioral data that no one else brings together.
It is not another database. It is the intelligence layer that reads companies the way a senior analyst would, in seconds.
Validated against official registries and sector benchmarks, not estimates.
Concentration, dependency and the real ownership structure behind the company.
Management age, missing successor and early exit signals.
Financial health, revenue trends, governance and founder signals, surfaced the moment they appear.
How it works
Find family-owned solar panel companies in Portugal with EBITDA between €6.5M and €7.2M and founders over 50y. The AI understands and structures the search.
It cross-references Informa D&B, public registries, web and news, surfacing financial, ownership, governance and succession signals.
It returns a ranked list of targets, each with financial health, ownership, contacts and the signals that fired, plus a one-pager ready to share.
It plugs into your M&A workflows and memo templates, with a built-in CRM so you go from insight to negotiation without leaving Closedata.
In private capital, saying "AI-powered" isn't enough. Discover how a foundation of validated financials, ownership graphs and succession signals makes Closedata's intelligence actually intelligent.
Meet AI by ClosedataClosedata vs legacy
See why professionals are switching from legacy tools to AI-powered intelligence.
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.
Book a 20-minute demo. Bring a thesis, we will show you the targets no one else gives you.
