Founder & CEO (PreSeed HealthTech) - Clinical Coding Revenue Intelligence at Founders Factory

<p style="min-height:1.5em">Founders Factory builds and funds startups together with exceptional entrepreneurs and the world's leading companies. Created by IPO-exited founders, we offer founders capital, operational support from a team of hands-on experts, and unrivalled access to a coalition of industry-leading corporate partners. Since 2015, Founders Factory’s 450+ portfolio companies have secured 500+ pilots and commercial contracts with our partners.</p><p style="min-height:1.5em">Our Studio partners with entrepreneurs at day one, developing new ideas, technologies and business models into high-growth companies. In partnership with a leading global industrial healthcare partner, we are building a new portfolio of healthcare ventures.</p><p style="min-height:1.5em"></p><h2><strong>About the Venture</strong></h2><p style="min-height:1.5em">Every hospital in Europe loses millions to a manual, error-prone coding process that hasn't changed in decades. When a patient is discharged, a trained specialist reads 20–50 pages of clinical documentation and manually translates every diagnosis and procedure into standardised codes. These codes determine how much the hospital gets paid.</p><p style="min-height:1.5em">In Germany, 17.5 million inpatient cases per year require manual coding. 51.5% of audited cases contain errors. €2.5–3 billion is clawed back annually by insurers through MD audits. 75% of German hospitals ended 2024 in deficit. The coder workforce — several thousand Kodierfachkräfte, each requiring 6–12 months of training at ~€42K salary — cannot scale fast enough.</p><p style="min-height:1.5em">We are building an autonomous AI coding agent that reads everything the coder reads, reasons from the official coding guidelines (Deutsche Kodierrichtlinien), and enters codes into existing hospital software — in seconds, not 35 minutes. Unlike traditional ML approaches that learn from historical patterns (and inherit their errors), our architecture reasons from the rules at inference time: when InEK publishes annual updates, we swap the guideline document. No retraining. No training data needed. Every code comes with an evidence chain and DKR citation — audit-ready by construction.</p><p style="min-height:1.5em">The deployment model is equally differentiated: computer-use agents navigate any hospital information system (KIS) via VPN, exactly as a human coder would. No API integration. No IT burden on the hospital. Deployment in days, not months. Deep EHR integration follows as relationships deepen, creating switching costs.</p><p style="min-height:1.5em">The AI clinical coding market is ~$3B today, projected to reach $10–11B by 2035. In Germany, the addressable market is €150–400M for AI coding software alone, with an additional ~€1.6B/year in audit clawbacks that better coding recovers. US players (CodaMetrix, Fathom, Nym) have raised $600M+ but are built for American codes and EHRs. Parallel has proven the model in France ($23.5M raised, computer-u