Built by dealmakers, run by machines
Discoperi was founded by an M&A professional with 15 years across investment banks, McKinsey & Co., a private equity fund, and Alex Bond Capital. The problem he kept running into was simple: M&A data is scarce, scattered, and priced for the firms that need it least. Large banks and mega-funds can afford Bloomberg, PitchBook, and in-house research teams. Almost no one else can. So we built it differently — an AI-powered M&A intelligence engine that monitors thousands of sources continuously and verifies every deal before publishing it, at a price a single analyst can justify without asking for a budget approval. Built for small PE firms, search funds, independent M&A professionals, analysts, family offices, corporate development teams, and researchers who prioritize efficiency and accuracy over hype — and who never touch a mouse while building a model.
Make verified M&A intelligence accessible to everyone in the deal ecosystem.
The M&A information market has a structural problem: the best data costs $30,000+ per year per seat, which means it's available to bulge-bracket banks and large PE funds — and essentially no one else. Corporate development professionals at mid-size companies, boutique bankers, M&A lawyers, and independent analysts operate with fundamentally worse information than their larger-firm counterparts.
We built the M&A Intelligence Engine to close that gap. Using AI extraction, multi-source cross-referencing, and a fully automated publishing pipeline, we surface verified closed deals — including lower and mid-market PE transactions that the major data providers don't cover — at a price that a single analyst can justify to their manager.
Built by people who live
in the deal ecosystem.
Alex Bondarenko
15+ years of experience in M&A. Worked at corporate and investment banks, McKinsey, an investment fund, and an M&A advisory firm.
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Vasiliy Chernenko
AI genius who has worked with Discoperi since 2018. Breathes, eats, and sleeps with AI and LLMs. Built 20+ AI products as part of the firm, incl. System Eye, City AI, and more.
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What we believe about
financial data.
Accuracy over speed
We publish verified deals, not rumours. A 2-hour delay in exchange for cross-referenced accuracy is the right trade-off for a professional audience.
Radical transparency
Every published deal includes its sources, confidence score, and methodology. You should always know exactly how we know what we know.
Fair pricing
The Bloomberg Terminal costs $32,000/year. That shouldn't be the only option. Good deal intelligence should be accessible to anyone in the ecosystem.
Want to talk?
For press inquiries, partnership discussions, or investor conversations.