Ralf Kaiser

Collecting data is easy. Understanding it is hard. Monetizing it is even harder. I’m Co-Founder & Managing Partner at Ingenia AI, an AI venture studio that co-builds companies by trading near market-ready AI platforms for equity. Instead of one risky bet, our investors get exposure across a growing portfolio of AI-first ventures—fintech, martech, legal-tech, ESG/climate—each launched with a partner who already has customers, data, and distribution. Result: months, not years, from prototype to revenue. Why this works: We deploy a proprietary library of models + 3 issued patents; most solutions are 50–70% built on day one, so partners go live in 90–120 days while we retain equity, revenue share, and IP leverage. It’s a capital-efficient, multi-path return model: near-term fees/royalties plus long-term venture exits—without single-company risk. Traction snapshot: • SIRP.ai (JV with Showpass): sponsorship intelligence in live events; launched mid-2025 and scaling across a large ticketing base. • ACDC Payments: payments middleware for EV charging; proven pilot, rolling out to 5,000+ stations. • IndiSec: AI-powered privacy compliance; first enterprise contract signed. What investors get: diversified AI exposure, IP-backed defensibility, and a lean global build engine (35+ in-house engineers) that compounds value across ventures. If you want the investor-level view (thesis, portfolio, use of funds, exits), DM me here for our Investment Summary.