Problem

Inven addresses the slow, manual, and incomplete process of finding and evaluating private companies for M&A. Deal teams often search across scattered websites and static databases, piece together ownership and financial information, and rebuild spreadsheets repeatedly. The economic pain is the analyst time consumed, slower time-to-deal, and the risk of missing attractive or off-market targets before competitors find them.

Its clearest use case is turning an investment or acquisition thesis into a qualified list of targets, buyers, or add-on companies. Instead of manually reviewing websites one by one, an M&A professional can describe the type of company they want and use Inven to identify relevant businesses, including companies that may not appear in traditional private-market databases.

Product / Service

Inven is an AI-native private-market intelligence and deal-sourcing platform. Its AI and natural-language-processing models analyze millions of websites and structure otherwise unstructured business information. Users can ask questions in natural language, search by what companies actually do, build target lists automatically, enrich company profiles, identify decision-makers, and map markets or competitors. The platform’s stated data foundation includes more than 28 million companies, 3 million transactions, 430 million professional contacts, and coverage across 160 markets.

The delivery model is a software platform sold through a demo-led workflow to M&A teams in private equity, investment banking, corporate development, consulting, venture capital, and related firms. It can connect with CRM systems such as Salesforce, HubSpot, Affinity, DealCloud, and Navatar, allowing teams to exclude companies already in their pipeline and push research into existing processes. The benefit is a single, more structured workflow that reduces research time, expands market coverage, and helps teams move from an investment brief to actionable outreach faster.

Market

Inven competes in the private-market intelligence, financial-research, and M&A deal-sourcing software categories. Its positioning is differentiated by AI-native search, proprietary extraction of web-based company data, global coverage, and an emphasis on smaller, private, and off-market businesses. G2 identifies PitchBook, AlphaSense, and Crunchbase as leading alternatives, with other adjacent competitors including broader market-intelligence and contact-data platforms.

The company has meaningful commercial traction rather than appearing to be pre-product: its website says more than 1,000 M&A firms use Inven, while its 2025 Series A announcement reported more than 700 firms, Fortune 500 customers, and 670% year-over-year growth. Inven raised a $12.75 million (€11.2 million) Series A led by Ventech and Vendep Capital, following a €1.5 million seed round. The available evidence does not disclose revenue, so its revenue stage and profitability cannot be determined, but customer adoption, funding, CRM integrations, and strong third-party user reviews indicate an established commercial software business.