Nelli
AI-powered video/audio seizure detection system combining machine learning with expert review
Company profile
Company profile
Neuro Event Labs is a global healthcare diagnostics company pioneering AI motion diagnostics for epilepsy monitoring. The company's flagship product, Nelli®, is the world's first non-contact, AI-driven video and audio monitoring system designed to identify and prioritize the review of seizure events with positive motor components. Nelli analyzes audio/video recordings captured via a Personal Recording Unit (PRU) with camera and microphone to identify events indicative of motor seizures. The system uses machine learning algorithms to detect relevant moments, creating an interactive report for physician review. Neuro Event Labs also offers an optional service for expert review by credentialed clinical staff. The technology has demonstrated 88% sensitivity for all motor seizures and 95.2% sensitivity for convulsive seizures in European in-hospital validation studies. Nelli is FDA 510(k) cleared for use in the United States, CE marked as a Class IIa medical device in the European Union under MDR, and registered as a Class IIa device in the United Kingdom. The system serves both hospital and at-home monitoring environments, enhancing current diagnostic and follow-up methods for epilepsy patients. Neuro Event Labs has received funding from the European Union's Horizon 2020 research and innovation programme and has established partnerships with leading epilepsy centers including Newcastle Royal Victoria Infirmary and Filadelfia Epilepsy Hospital in Denmark.
Company description Neuro Event Labs OY official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Hybrid · On Premise deployment with recorded integration context.
Company milestones
FDA 510(k) clearance November 2025, €2.0M funding round February 2025, EU MDR certification December 2024, Newcastle Royal Victoria Infirmary partnership March 2026, FDA Breakthrough Device Designation
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
AI-powered video/audio seizure detection system combining machine learning with expert review
Hospital-wide AI-powered seizure monitoring system for inpatient epilepsy units
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Seizure · Jan 24, 2020
Automated pose estimation captures key aspects of General Movements at eight to 17 weeks from conventional videos.Acta paediatrica (Oslo, Norway : 1992) · Oct 1, 2019
Clinical validation
No linked records are currently available.
Regulatory
K251506 · 510k · Nov 21, 2025
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
European in-hospital validation study with 230 patients
European in-hospital validation study with 230 patients
European in-hospital validation study
Study with 104 patients monitored average 29 days
Study with 104 patients
Study with 104 patients
At-home patient monitoring project for adults with intellectual disabilities and epilepsy, funded by NIHR, to recognize complex seizures and reduce unnecessary emergency and hospital interactions
Established as Nelli's Centre of Excellence
Evaluation of diagnostic yield and clinical utility of Nelli in patients with pharmacoresistant epilepsy
Prospective exploratory study published in Epilepsy and Behavior demonstrating clinical utility
Improving nocturnal event monitoring in people with intellectual disability in community settings
Proven highly effective in supporting care for vulnerable population with intellectual disabilities
Validation study of Nelli against video-electroencephalogram monitoring in 230 patients aged 0-80 years
88% sensitivity for all motor seizures, 95.2% sensitivity for convulsive seizures, 6.48 false detection rate per hour
Implementation of Nelli Pro monitoring system across all hospital beds for pediatric, adult and epilepsy monitoring units
Deployed across all 46 hospital beds at Dianalund facility
104 patients monitored for average of 29 days using Nelli for clinical decision support
86% led to clinical decisions, 83% differential diagnosis of patients with recorded episodes, 68% therapeutic interventions or adjustments
05 · Leadership
Leadership profiles and professional links from the current Company record.
Rod Williams
CEO
06 · Company updates
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07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.
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