CZK 130m · Series A · Healthtech · Olomouc, Czech Republic
Kardi AI, which combines a wearable ECG chest strap, a mobile app and AI-assisted analysis for long-term heart-rhythm monitoring, has raised CZK 130m in Series A funding. Callisto Health led the round, with Česká spořitelna and Slovenská sporiteľňa participating through Seed Starter alongside BrightCap Ventures, Purple Ventures, DEPO Ventures and Garage Angels. The capital will support expansion in Europe and Asia and development of predictive arrhythmia-risk models.
Longer monitoring can catch what a short examination misses
Kardi AI’s system records ECG data while a person goes about daily life, then sends the readings through a mobile app for AI-assisted analysis. The product is intended to give physicians a longer view of heart rhythm rather than replace clinical diagnosis. That matters for intermittent arrhythmias, which may not appear during a brief appointment or conventional short monitoring period.
The company says its technology is used by more than 6,000 people and works with more than 70 hospitals in Czechia. Those figures are company-reported, but they show the commercial challenge behind the Series A: Kardi AI has to scale a regulated device-and-software workflow that patients can use consistently and clinicians can trust, not simply distribute more sensors.
Expansion comes before prediction
Kardi AI plans to prioritise Germany in Europe and markets including India, the UAE and Singapore in Asia. Each move requires more than localisation: regulatory approvals, clinical partners and reimbursement or purchasing pathways can determine whether monitoring becomes part of routine care.
The company also wants to move from detecting rhythm disorders toward models that estimate arrhythmia risk before symptoms appear. Its own announcement says those models remain in development and will require professional validation and regulatory approval before clinical use. The financing therefore supports both geographic growth and a longer evidence programme whose success will depend on real-world workflow fit.
Explore the implementation challenge
Unlocking AI’s Impact Potential in Healthcare: Bridging the Implementation Gap — ImpactVC, hosted on EUVC · 24 August 2025. The article explains why healthcare AI must bridge technical efficacy, clinical workflow, regulation and real-world implementation, the same execution gap Kardi AI faces as it expands.
