The foundational decision-support platform for precision neurology. Transforming epilepsy surgery through AI-powered brain network analysis.

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The Challenge

Epilepsy surgery saves lives.
But too often, it never happens.

1.2 million Americans with drug-resistant epilepsy need a better option. Surgery can be transformative - but surgeons won't operate when they can't confidently identify the target.

FIND candidate patients

Discordant imaging, MRI-negative scans, or multifocal findings leave clinicians without a clear surgical target. Patients cycle through medications for years - or decades - because the data doesn't give surgeons the confidence to operate.

The question Surgery or no surgery?
FIND critical nodes

Even when surgery happens, the traditional seizure onset zone is only the tip of the iceberg. Seizures are driven by networks - and the critical nodes that sustain them are not always where the seizure appears to start. Remove too little and seizures return. Remove too much and you damage function.

The question Where to target - and what to spare?
FIND Neuro

Map the seizure network. Pinpoint the critical nodes. Give surgeons the confidence to operate - and the precision to get it right. Using only standard clinical recordings. No new hardware. No workflow disruption.

The outcome Seizure freedom through precision.
The Platform

CN-Suite™

An integrated clinical decision-support platform that turns raw neuroimaging and electrophysiology data into actionable surgical intelligence -with zero workflow disruption.

Intelligence Layer
Network Analysis
Critical Nodes™

Proprietary ML algorithm that identifies critical network drivers from sEEG recordings - the contacts whose removal is most likely to produce seizure freedom. Uses only standard-of-care data. No new hardware required.


Foundation Layer
Visualization
MMVT

Interactive 3D brain model integrating MRI, CT, and depth electrode data into a single visualization. The default case-presentation interface for surgical conferences - ensuring surgeon exposure on every case.

Under the Hood

How Critical Nodes Works

Three phases transform raw sEEG recordings into precise surgical targets.

Phase 1

sEEG Electrode Recordings

Depth electrodes are implanted into the brain, each carrying multiple recording contacts. The algorithm uses only standard-of-care sEEG data - no additional hardware or protocols required.

Phase 2

Directed Connectivity

For each contact, the algorithm estimates causal influence to every other contact - revealing how seizure activity propagates through the network, not just which areas are active.

Phase 3

Criticality Scoring

Each contact receives a criticality score based on its network influence. Red contacts are the strongest drivers of seizure activity - the surgical targets whose removal maximizes seizure freedom.

Clinical Workflow

How It Works

Integrates into the existing epilepsy surgery workflow. No new hardware, protocols, or changes to clinical ownership.

01

Data Integration

Standard MRI, CT, and sEEG recordings are loaded. No additional acquisition needed.

02

3D Visualization

MMVT constructs a patient-specific 3D brain model with precise electrode positions.

03

Network Analysis

Critical Nodes algorithm ranks electrode contacts by network criticality during seizures.

04

Decision Support

Objective, network-level evidence presented at surgical conference for consensus decisions.

Clinical Evidence
Multicenter, Outcome-Anchored Validation
Retrospective study of over 100 patients across 5 leading U.S. centers with 12-month Engel follow-up - the gold standard for seizure freedom assessment. Achieved high sensitivity and specificity in a strict center-held-out validation, demonstrating cross-site generalization.
5 Leading U.S. Centers

“FIND Neuro will enable our team to utilize our vast patient database to derive the most effective treatments for each patient.”

Prof. Howard L. Weiner, MD - Chief of Neurosurgery, Texas Children's Hospital
Patient Impact

Alice's Story

At six years old, Alice experienced up to 50 seizures daily. Traditional treatments offered only 20-50% success rates.

Using FIND's network analysis, clinicians identified precise surgical targets. Today, Alice is seizure-free.

Scientific Foundation

Peer-Reviewed Research

Publications co-authored by FIND, forming the scientific basis of the platform.

Temporal Lobe Epilepsy

Visualization of the Spatiotemporal Propagation of Interictal Spikes in Temporal Lobe Epilepsy

Using FIND Neuro's platform, this study reveals how seizure activity propagates beyond the temporal lobe - the pattern most predictive of surgical failure. Our Critical Nodes algorithm can identify these temporal-plus cases, helping clinicians avoid unnecessary lobectomies.

Brain Topography 2024
Read Paper
Click to see figure
Spatiotemporal spike propagation analysis across four temporal lobe epilepsy patients
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Generalized Epilepsy

Ictal MEG-EEG Study to Localize the Onset of Generalized Seizures

Patients with generalized epilepsy are rarely considered for surgery. Using FIND Neuro's analytical methods, we demonstrated that generalized seizures can be localized and their propagation mapped - opening the door to precision-targeted therapies for previously untreatable patients.

Brain Sciences 2025
Read Paper
Click to see figure
Generalized seizure onset and propagation analysis across three patients
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Electrode Localization

Modular Pipeline for Reconstruction and Localization of Implanted Intracranial ECoG and sEEG Electrodes

Built on FIND Neuro's MMVT platform, this pipeline automates electrode localization with standardized coordinates, anatomy labels, and 3D visualizations. Validated on 260+ patients across multiple centers - the foundation layer powering our clinical decision support.

PLOS ONE 2023
Read Paper
Click to see figure
Modular pipeline for electrode reconstruction showing 7 processing steps
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FIND Neuro on Scientific Journal Covers

Long-Term Vision
Beyond Epilepsy.
The operating system for
precision neuromodulation.

Epilepsy surgery is our beachhead. The same network analysis engine that identifies seizure drivers can guide neuromodulation across a $1 trillion bioelectronics opportunity.

Chronic Pain Drug-Resistant Depression Addiction OCD PTSD Migraine Parkinson's Alzheimer's
Leadership

Our Team

MGH & Harvard Medical School Spin-Out

World-class neuroscience expertise combined with proven entrepreneurial and regulatory leadership.

Noam Peled, PhD
CEO
Computational neuroscientist. Postdoc at Martinos Center, MGH & Harvard Medical School
Key Highlights
PhD in Machine Learning & Game Theory; trained at Martinos Center & Harvard Medical School
Raised $2M and built a 7-person international team
3 patents authored; exclusive IP licensed from MGB Innovation
Leading end-to-end FDA 510(k) regulatory strategy
35+ peer-reviewed papers with 1,000+ citations
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Avi Yaron
Executive Chairman
Neurotech pioneer & serial entrepreneur. Co-Founder, Serendipity Impact VC
Key Highlights
Invented & founded Visionsense after his own inoperable brain tumor diagnosis - acquired by Medtronic for $75M
Co-founded Joy Ventures (NeuroWellness) & HealthYA Ventures (4.3x return in 2 years)
30+ years building and exiting transformative HealthTech ventures
TEDx Amsterdam speaker; MBA lecturer in Israel & US
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Adam P. Lerner, JD
COO & Head of Legal
Former VP Legal & IP at VC-backed life sciences companies
Key Highlights
JD + MBA + BS Engineering - triple-qualified
Registered USPTO patent attorney
Former VP Legal & IP at VC-backed biotech companies
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Dekel Shapira, PhD
VP R&D
Healthcare sector development leader
Key Highlights
PhD in Physics - quantum network dynamics
Algorithm developer at Vectorious (acquired for $497M)
AI medical imaging specialist at RSIP Vision
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Alex Rockhill, PhD
Research Scientist
Expert in invasive EEG & network-guided neuromodulation
Key Highlights
32,000+ lines contributed to MNE-Python
Built the intracranial EEG analysis module
30 publications with 270+ citations
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Advisory Board
Prof. Steven Stufflebeam, MD
Co-Founder • Neuroradiologist, Associate Professor at HMS • Medical Director of the Martinos Center, MGH
Prof. Howard L. Weiner, MD
Chief of Neurosurgery, Texas Children's Hospital • Professor, Pediatric Neurosurgery and Vice-Chairman, Baylor College of Medicine
Prof. Matti Hämäläinen, PhD
Invented MEG & EEG source localization • Full Professor at Harvard Medical School • Head of Neuroscience & Biomedical Engineering, Aalto University, Finland
Alon Blankstein
Co-founder and advisor of Israeli & North American technology ventures • CEO of ICD Pharma
Prof. Mandana Behbahani, MD
Neurosurgery, Montefiore Medical Center
Prof. Ed Marram, PhD
Founded Geo-Centers Inc. (1,400 employees, $200M revenue) • Babson College Entrepreneurship Director
Get In Touch

Contact Us

Let's discuss how FIND Neuro can support your clinical program.

Whether you're a clinician, investor, or potential partner - we'd love to hear from you.

info@findneuro.com
Boston, Massachusetts