Rethinking Early-Stage Deal Flow: Smart Investor Intros via AI Matching with dealval
dealval is the new platform for intelligent startup–investor matching – developed to make early-stage investments more efficient, better informed, and higher in quality. Using AI-powered pitch deck analysis, crowd ratings, and a clearly structured quality process, dealval connects investors with exactly the startups that are truly exciting.
The Vision: Smarter Deal Flow for Investors – and Fair Opportunities for Startups
The idea behind dealval: Early-stage startups upload their pitch decks – the platform automatically analyzes key data such as funding stage or capital requirements. These structured insights are then matched with a growing database of investors. The result is a passive, efficient deal flow where business angels and investors primarily engage with relevant, well-selected opportunities.
Automated Data Extraction & Intelligent Matching
- Pitch Deck Upload: Startups upload their pitch decks, and the system automatically extracts relevant information.
- Matching: Through a structured AI process, suitable business angels are identified and the information is forwarded to them – saving time for both sides.
The Team Behind dealva
Roland Lindner
Startup consultant with extensive expertise in financing and business angel relations. Roland is an active angel investor himself and understands the challenges on both sides – from screening startups to preparing for fundraising.
DI Andreas Braumann
Skilled developer with a strong focus on high-performance, modern UIs and AI-based systems. In addition, Andreas is active as a business angel and startup consultant, bringing deep understanding of both sides of the marketplace – tech and venture.
Benefits for Startups and Investors
For Startups:
- Faster access to relevant business angels & investors
- Early, high-quality feedback
- AI-based analysis and matching suggestions
For Investors:
- Deal flow with pre-qualified startups
- Active scouting of exciting founders
- Robust investor community