Founders Factory
HealthTech
Founder&CTO(PreSeedHealthTech)-ClinicalCodingRevenueIntelligence
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Founder & CTO (PreSeed HealthTech) - Clinical Coding Revenue Intelligence at Founders Factory. Skills: Reasoning AI, Enterprise IT integration, Regulated data architecture. Own reasoning AI system. Own agent layer”
What You'll Achieve.
Produce audit-defensible output; Satisfy KRITIS-grade security; Satisfy DSGVO from day one
Industry & Context.
Technical judgment
What They're Looking For.
Must Have
Shipped production AI systems, Built production-grade reasoning systems, Built systems handling regulated data, Computer-use agent experience, Browser/UI automation experience, Agent engineering work experience, Business-fluent German skills, Professional English required
Nice to Have
Direct MDR experience, IEC 62304 experience, BSI C5 experience, Previous founding experience
What You'll Do.
Own reasoning AI system
Own sensitive-data architecture
Build production-grade reasoning systems
Control cost and latency
Build systems handling regulated data
Approve sensitive-data architecture
Shape the architecture
How You'll Work.
Team & Collaboration
Incoming Founder & CEO; Corporate partner
Full Job Description
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. 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. ABOUT THE VENTURE 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. 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. We are building an autonomous AI coding agent that reads everything the coder reads, reasons from the official German coding guidelines (Deutsche Kodierrichtlinien), and enters codes into hospital systems in seconds. Our architecture reasons from the rules at inference time, not from historical patterns. Every code carries an evidence chain and a citation to a specific guideline — audit-ready by construction. When InEK publishes annual updates, we swap the guideline document. No retraining required. US players have raised $600M+ but built for American codes and EHRs. Parallel
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