The dataset
Every source aggregated, cleansed and reconciled into one fact base you can trust.
Private capital & M&A
Generate deal ideas nobody else is working on
- 01The definitive fact base on private companies
- 02Proactive agents, not a prompt box
- 03Your own data inside both, taking precedence
The virtual analyst
Proactive agents, not a prompt box. They watch your remit, originate ideas and deliver finished work.
Your data, inside
Your own knowledge layered onto the fact base — and taking precedence wherever the two overlap.
01 · The dataset
From raw sources to one trusted dataset
Moody’s private company data plus complementary sources, reprocessed daily into a sector taxonomy built for M&A — with the heavy calculations already done.
Raw data sources
Orbis
FactSet
News
Web Select
Normalize
Reconcile
Enrich
Trusted dataset
Consume our data
PlatformWeb Application
AI AssistantAsk Anything
ExcelExports
APIREST / GraphQL</>
Your SystemsCRM, DWH, Models
Scroll the diagram sideways →
600M+Private companies
700M+Financial records
200M+Ownership records
3MTransactions
400M+Company directors
3.5MNews articles daily
Coverage figures are directional and rounded.
Breadth
The widest private-company universe available, across geographies and sectors.
Data engineering
Deduplication, normalisation, entity resolution and reconciliation, done upstream.
Pre-computed, not live
Ratios and aggregates too costly to calculate on the fly, built once and ready — every figure traceable to its source.
Built for M&A sectors
A taxonomy AI-assigned and retuned often, not a frozen industry code.
Who it's for
One fact base, four different jobs
M&A advisers
Spot what is coming to market across every client you serve.
Private equity
Originate off the whole private market, not the slice that reached a banker’s list.
Corporate development
Watch the adjacencies as closely as your own segment.
LPs
Follow an asset up through fund, strategy, GP and LP.
What they run on it
Target identification
- Assets coming back to market
- Delistings and carve-outs
- Build-up targets
Sector monitoring
- News and events
- Deals and exits
- Financial trends
Benchmarking & valuation
- Listed comps
- Precedent transactions
- Whole-portfolio views
Pitch preparation
- Best potential buyers
- Adviser and sponsor mapping
GPs and funds
- Portfolio composition
- Fund performance
- Hold periods
People
- Directors and managers
- Owner-director age
- Deal adviser mentions
| Company | Country | EV band | Sub-segment | Owner | Last deal |
|---|---|---|---|---|---|
| Nordic Filtration Group | Sweden | 50–100m | Industrial filtration | Founder | — |
| Rheinfilter Technik | Germany | 100–250m | Air handling | Sponsor · 6y hold | 2019 |
| Aqua Systems Benelux | Netherlands | 25–50m | Water treatment | Family Age 71 | — |
| Filtrex Austria | Austria | 10–25m | Industrial filtration | Founder | 2023 |
| Helsinki Process Air | Finland | 50–100m | Air handling | Corporate | 2021 |
Scroll horizontally to view all columns.
Sample output shown for illustration — not a live result from your account.
02 · The virtual analyst
A chatbot waits for your question. Our agents bring you the idea, and the work behind it
A prompt box only pays off once somebody has thought of the question. Ours start from the sectors you watch, propose the thesis, and bring you the finished piece. You review it; you don’t assemble it.
A continuous loop, customised to your remit
Your areas of focus, around the clock
Watched continuously, not just when you ask.
Ideas nobody else is working on
New theses proposed automatically, localised to your remit.
Sector notes and company write-ups
Hundreds of structured queries, turned into a write-up.
Drafts the email, builds the deck
Finds the path to a CEO. Nothing sent without you.
An idea matched to your remit, every week
A new idea, matched to your remit Illustrative example
Roll up the independent labs certifying offshore wind foundations
Owner-operated, sub-scale, and tied to a build-out with fifteen years left to run. Certification approvals are slow to obtain, so incumbents are harder to displace than their size suggests.
- Play
- Buy-and-build
- Geography
- Nordics, North Sea
- Candidates in your band
- 34
- Succession signals
- 9 of 34
Sample output shown for illustration — not a live result from your account.
03 · Your data, inside
Your own knowledge, merged into the same fact base
Your best data sits in a CRM, an inbox and somebody’s hard drive. We ingest it through a precise data contract, score it, and let it override the market data.
- Outside
- 600M+ companies, deals, ownerships, financials, news and people — already reconciled.
- Inside
- Your CRM, memos and emails — matched and scored against the same keys.
One private deployment, your knowledge taking precedence — platform, analytics and agents all running on it.
About us
Built by people who spent their careers needing it
A former large-cap private equity partner, alongside engineers from quantitative research and large-scale data architecture. London, UK.
Idriss Soumare
Founder, CEO
McKinsey Paris, then twelve years at BC Partners across Paris, New York and London — three as partner. Six investments, c.$7bn combined EV, four boards. MSc Applied Mathematics, Ecole Centrale Paris.
LinkedIn profile for Idriss Soumare ↗Peter Szalai
Head of Development
Machine learning in academia, then data architecture at Prezi, Attest and quantitative research firm G-Research. MSc Computer Science, Budapest.
LinkedIn profile for Peter Szalai ↗Andreas Björklund Nelson
Head of Operations
Thirteen years at Accenture advising the leadership of global financial services firms on market entry, growth and portfolio rationalisation. MBA, Stockholm.
LinkedIn profile for Andreas Björklund Nelson ↗Kostya Kanishchev
Head of Data Engineering / ML
Data scientist and software engineer, a decade at CERN on the Large Hadron Collider and the Higgs Boson analysis, later at Toptal on large-scale data projects. PhD Theoretical Physics, University of Trento.
LinkedIn profile for Kostya Kanishchev ↗Get started
Let's put CapData to work on your next deal
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