Nelli

by Neuro Event Labs OY  · Based in Finland → — Seizures. Clearly.
Neurology
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Regulatory Status Disclosed

Overview

Nelli is a non-contact, AI-driven video and audio monitoring system designed to identify and prioritize the review of seizure events with positive motor components. It is intended for use as an adjunct to seizure monitoring of patients aged 18 years and above in healthcare facilities during periods of rest. The system utilizes automated analysis of audio and video data collected via a Personal Recording Unit (PRU) to identify abnormal movements. The results are presented in an interactive report on a web-based dashboard for review by a qualified healthcare professional. Nelli aims to improve epilepsy diagnostics, expand monitoring capacity in hospitals, and provide an objective measurement tool for documenting seizure outcomes in clinical trials of anti-seizure medications.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Non-contact, AI-driven video and audio monitoring
  • Identifies and prioritizes motor seizure events
  • Automated analysis of audio/video recordings
  • Web-based dashboard for physician review
  • Personal Recording Unit (PRU) for data capture
  • Adjunct to seizure monitoring in healthcare facilities
  • Supports epilepsy diagnostics and monitoring capacity
  • Objective measurement tool for clinical trials
  • CE-marked (Class IIa medical device in EU)
  • Can be used in hospital and at home (with local availability restrictions)

Use Cases

  • Epilepsy diagnostics
  • Seizure monitoring in hospitals
  • Seizure monitoring at home
  • Assessing treatment effect and adjustments for epilepsy
  • Clinical trials of anti-seizure medications
  • Prescreening for Epilepsy Monitoring Units (EMU)

What Physicians Need to Know

Seizure Detection
Nelli is a non-EEG physiological signal-based system that uses automated analysis of audio and video to identify and quantify epileptic and non-epileptic seizure events with a positive motor component. It offers 88% sensitivity for all motor seizures and 95.2% for convulsive seizures, detecting micro-movements not visible to the human eye.
EEG Interpretation AI
Nelli is explicitly a non-EEG system, utilizing audio and video analysis for seizure detection. It can be used in conjunction with standard video EEG monitoring, but does not interpret EEG data itself.
Seizure Detection Speed
The system identifies seizure timestamps in real-time, reducing the time and effort required for monitoring and assessment. It provides prioritization of identified major seizures and other motor events for review by healthcare professionals.
Triage Prioritization Speed
Nelli prioritizes identified major seizures and other motor events for review, aiding healthcare professionals in efficient patient assessment. Its AI-based motor seizure detection helps hospitals expand monitoring capacity without increasing staff burden.
Mobile Notification System
While not explicitly a 'mobile notification system,' Nelli provides physicians with secure access to raw audiovisual recordings and interactive reports via a web-based dashboard for timely review. This streamlines the diagnostic process, aiming for quicker results and faster time to treatment.
Physician Tip

Nelli can optimize patient flow to Epilepsy Monitoring Units (EMUs) by providing objective pre-screening information, potentially reducing the need for admission or enhancing data upon arrival. It assists in differential diagnosis, seizure classification, and quantification, offering an effective tool to assess treatment effects and adjust therapies, complementing often inaccurate patient-reported seizure diaries. The system provides objective, consistent seizure measurements, which can be valuable for clinical trials.

Nelli is designed to integrate into existing epilepsy monitoring workflows within hospital and home environments. It utilizes a Personal Recording Unit (PRU) with a camera and microphone to capture data, which is then transmitted via a secure internet connection to Nelli software on a remote server for analysis. The results are accessible through a web-based dashboard. It can be used in conjunction with standard video EEG monitoring.

Details

Category Neurology AI, Wearables & Remote Monitoring (RPM)
Pricing Contact for pricing
DeploymentCloud-based
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Yes AI-estimated

Nelli received FDA 510(k) clearance (K251506) on November 21, 2025, as a Physiological Signal Based Seizure Monitoring System (Class II - Special Controls, product code POS). It was also recognized as a Breakthrough Device.
Integrations
EHR Not specified
Specialties Neurology

What the Web Says

Nelli by Neuro Event Labs is an AI-powered, non-contact video and audio monitoring system designed to detect and characterize motor seizures in both hospital and home settings. It aims to improve the accuracy of seizure diagnosis and monitoring, reduce the need for prolonged hospital stays, and provide objective data to complement often inaccurate patient-reported seizure diaries. The system has received FDA Breakthrough Device designation and 510(k) clearance, as well as CE mark and UK registration as a Class IIa medical device.

Overall: Positive

Strengths

  • Faster, better diagnosis and follow-up for epilepsy patients.
  • Reduces patient queues and extends monitoring access outside of Epilepsy Monitoring Units (EMU).
  • Eliminates the need for invasive monitoring like EEG electrodes and provoking seizures in the EMU.
  • Provides objective data and automated analysis of seizure events, improving accuracy over patient diaries.
  • Cost-effective by potentially reducing prolonged, expensive hospital stays.
  • Easy to use and convenient setup, with no wearables required for the patient.

Limitations

  • No specific cons were found in the provided search results from physicians, healthcare IT, or tech reviewers.
  • No relevant reviews or opinions were found on Reddit, G2, or Capterra specifically for Nelli by Neuro Event Labs.

Based on reviews from: Neuro Event Labs (neuroeventlabs.com), MEARIS, Catalyze Capital, Trustpilot (for G2 and Capterra general reviews, not Nelli-specific)

Last updated: 2026-07-20

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Clinical Value
Ease of Use
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Press & Coverage

Neuro Event Labs
Neuro Event Labs Receives FDA 510(k) Clearance for the Nelliu00ae Seizure Monitoring System
Neuro Event Labs announced it received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its Nelliu00ae Seizure Monitoring System, enabling commercialization in the U.S. healthcare market. This AI-driven, non-contact system is designed for detecting and reviewing seizure events in hospitals and clinical research settings.
2025-11
Neuro Event Labs
Neuro Event Labs Receives European MDR Certification for Nelliu00ae seizure detection and characterization device
Neuro Event Labs has completed the certification process under the European Union's Medical Device Regulation (MDR) for its Nelliu00ae as a Class IIa device for seizure detection and characterization. This makes Nelli the only seizure detection and epilepsy monitoring device to achieve MDR compliance.
2024-12
Neuro Event Labs
Neuro Event Labs Oy raises u20ac2.0M investment for commercial expansion in Europe and US market entry of its AI-powered seizure detection device for epilepsy.
Neuro Event Labs Oy secured u20ac2.0M in funding from Catalyze Capital and Hadean Ventures to support commercial expansion in Europe and entry into the US market for its Nelliu00ae product. Nelliu00ae aims to provide objective, accurate detection and characterization of seizures.
2025-02
Frontiers in Neuroinformatics (via Neuro Event Labs)
Automated analysis and detection of epileptic seizures in video recordings using artificial intelligence
A phase-2 study published in Frontiers in Neuroinformatics, in collaboration with the Danish Epilepsy Centre, evaluated Nelli's algorithmic performance in video-based detection of various motor seizures. The study involved 230 patients and verified Nelli's performance against video-EEG findings, highlighting its clinical applicability for seizure screening.
2024-04
Epilepsia Open (via PMC)
Seizure classification using a multimodal seizure monitoring system (Nelli) in Dravet and Lennoxu2013Gastaut syndromes: A nonu2010randomized, singleu2010center feasibility study
This feasibility study assessed Nelli's accuracy in detecting seizures in patients with Dravet or Lennoxu2013Gastaut syndrome, showing high accuracy in detecting seizures at rest and significantly more seizures than patient diaries. Nelli is a CE-marked and EU-approved medical device, transitioning to Class IIa under MDR.
2025-10
Epilepsy and Behavior (via Neuro Event Labs)
Video-based automatic seizure detection in pharmacoresistant epilepsy: A prospective exploratory study
A prospective exploratory study published in Epilepsy and Behavior evaluated Nelli's diagnostic yield and clinical utility in patients with pharmacoresistant epilepsy. The study concluded that Nelli is a useful method for evaluating these patients and may facilitate the diagnostic process.
2024-12
Neuro Event Labs
Neuro Event Labs Receives FDA Breakthrough Device Designation for Nelliu00ae, the World's First Automated Video and Audio-Based Seizure Monitoring System
Nelliu00ae received Breakthrough Device designation from the U.S. Food and Drug Administration (FDA), marking it as the first such designation for a seizure diagnostic monitoring system. This AI-powered system automates seizure event identification using video and audio.
2020-10
Neuro Event Labs
Newcastle Royal Victoria Infirmary becomes Nelli's new Centre of Excellence as part of a large at-home patient monitoring project funded by NIHR
Newcastle Royal Victoria Infirmary has been designated as Nelli's new Centre of Excellence. This is part of a significant project funded by NIHR focusing on at-home patient monitoring for individuals with epilepsy.
2026-03

Videos

Product demos, reviews, and walkthroughs for Nelli.

View all on YouTube

Frequently Asked Questions

The Nelliu00ae Seizure Monitoring System utilizes AI to analyze audio and video recordings from a Personal Recording Unit (PRU) to detect and classify motor seizures in both hospital and home settings. Physicians receive interactive reports and videos, which aid in diagnosis, treatment assessment, and can potentially reduce the need for prolonged hospital stays.
Nelly AI automates various operational and financial workflows within medical practices, including patient check-in, documentation, billing, payments, and patient financing. It integrates with existing practice management systems to significantly reduce administrative burden, improve cash flow, and enhance overall practice efficiency.
The Nelliu00ae Seizure Monitoring System is CE marked in the European Union and has received FDA Breakthrough Device Designation in the US, where it is currently an investigational device. For data privacy, it is imperative that any healthcare AI solution, including Nelli, adheres to stringent regulations like HIPAA for the protection of sensitive patient information.
Nelli primarily identifies motor seizures through audio and video analysis, meaning non-motor seizures might not be detected by the system. While it significantly reduces the burden of traditional monitoring, it is intended as an adjunct tool, and human expert review remains crucial to confirm algorithmic findings.
Common alternatives include traditional video electroencephalography (VEEG) in epilepsy monitoring units (EMUs) and various wearable devices. VEEG offers comprehensive brain activity data but can be costly and burdensome, whereas wearables are often limited to detecting only more severe seizure types.
Specific pricing details for Nelli solutions are not publicly disclosed in the available information. Generally, healthcare AI solutions are often priced through subscription models, per-use fees, or tiered structures, which typically depend on the scope of integration, the features utilized, and the size of the practice or facility.
Despite Nelli providing automated analysis, continuous physician oversight and human expert review are essential to confirm algorithmic findings and ensure accurate diagnoses and treatment plans. Ethical considerations include ensuring robust data protection, addressing potential biases within AI algorithms, and establishing clear liability in the event of errors.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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