Everything journalists and event organisers need about Nixi AI: compact and linked.
Short form
Nixi AI is the GDPR-compliant ambient AI medical scribe for clinicians. Built in Wiesbaden, with 60,000+ documentation sessions to date. The peer-reviewed real-world study published in EULAR Rheumatology Open 2025 (Knitza & Aries) documented reduced documentation time in 82% of 88 rheumatology consultations. Founded by two clinical pharmacists who lived the documentation burden before building the tool to remove it.
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hessian.AI
Nixi AI named among the 27 startups in the IGNITION Batch 2026.1 of hessian.AI, the AI-startup accelerator of the Hessian Center for Artificial Intelligence (a consortium of 13 universities). The accelerator provides mentoring, GPU-cluster access, and connections to Hesse's AI research ecosystem.
Viewhessian.AI
A dedicated Nixi AI profile in the community directory of hessian.AI, the Hessian Center for Artificial Intelligence, covering the product, the founding team and participation in the IGNITION 2026 incubator.
ViewCity of Wiesbaden
Founding portrait published by the City of Wiesbaden (Department for Economy and Employment). Covers the EULAR clinical evaluation, EXIST startup grant, and the founders' path from clinical pharmacy in Iran to building Nixi AI in Wiesbaden.
ViewTechRound
Featured in TechRound's annual roundup of leading German MedTech startups: 'privacy-native AI agents that automate the administrative aspects of clinical workflows, enabling physicians to dedicate their attention solely to patient care.'
ViewWeb Summit
Mahsa Yarahmadi pitched Nixi AI in the PITCH group: ambient healthcare agent as an answer to 33% admin time and a 45% burnout rate among clinicians.
Viewdeutsche-startups.de
Profiled in the 'Neue Startups' feature alongside Orbisens, pluz, Prisma Schools and visioplan. Editorial focus: KI-gestützte medizinische Dokumentation für Ärzte.
Viewdeutsche-startups.de
Picked in the weekly Startup-Ticker alongside Amboss and Plancraft, recognised for AI-supported medical documentation tailored to German practice workflows.
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Semi-finalist in the 'Gründung aus der Hochschule' (university spin-off) category. Nixi AI launched out of Hochschule Fresenius Wiesbaden.
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Portfolio feature in the official Success Stories. Focus: GDPR-compliant real-time transcription, structured EMR notes, and referral-letter generation.
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Alumnus of the Hessen state innovation initiative. Profile focus: privacy-by-design across patients, clinicians, and payers.
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Featured on the FSU Jena Gründungsservice (K1) Founderswall, digital + physical, visible at network events throughout the year.
April 2026
Announcements
Peer-reviewed evaluation of 88 consultations records reduced documentation time in 82% of cases, zero critical errors, zero patient refusals.
Read the studyThe German Federal Ministry for Economic Affairs (BMWK) programme funds the Wiesbaden team to build a GDPR-compliant ambient AI for German medicine.
Programme pageFacts
Brand assets
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Founding team
Short bios for publication. Headshots on request, the press headshot pack is in preparation.
CEO & Co-founder, shareholder
Clinical pharmacist trained in Tehran. Years of hospital and community pharmacy night shifts before moving into pharmaceutical-industry data interoperability. Designed cloud-based supply-chain compliance systems across three continents at BioNTech. Previously global strategic marketing at Boehringer Ingelheim. MSc International Business from ISM Frankfurt (Best Thesis nominee). Drives Nixi AI's clinical partnerships, business strategy, and go-to-market.
CTO & Co-founder, shareholder
Clinical pharmacist who took the longest hospital shifts. Built ML systems for orthopaedic implant recommendation (88% top-3 accuracy, n=47) before founding work. Previously global Health Economics & Outcomes Research at Boehringer Ingelheim, supporting the diabetes CDSS (clinical decision support). MSc Health Economics from Hochschule Fresenius, Wiesbaden. Architected Nixi AI's GDPR-native platform single-handedly and built the integrations to German PVS systems through hands-on work in clinic server rooms, and built and deployed AI pipelines for Nixi AI accuracy and reliability improvements.
