NOCD operates a telehealth platform focused exclusively on obsessive-compulsive disorder, connecting patients with specialized therapists for Exposure and Response Prevention (ERP) therapy plus peer-supported self-help tools. The tech stack—Python, TypeScript, iOS/Android native, WebRTC, and AWS—reflects a mobile-first, real-time communication architecture built for clinical video sessions. Pain points signal a company scaling rapidly: multi-state payroll compliance, audit controls, and high-volume invoice processing appear alongside product challenges like referral patterns and ERP therapy accessibility, indicating operational strain that typically precedes scaling inflection.
NOCD is a telehealth provider built around asynchronous and synchronous clinical care for OCD. The core offering is live video therapy sessions with a national network of licensed ERP specialists, supplemented by 24/7 peer communities and self-guided tools accessible through web and mobile applications. Active development centers on digital therapy experiences for ERP exercise completion, backend systems for clinicians, and scalability improvements. The company operates from Chicago and is structured across 201–500 employees spanning clinical, engineering, design, finance, and sales functions. Hiring velocity is accelerating, with current openings weighted toward mid-level and senior roles.
Python and TypeScript for backend; iOS (Swift, SwiftUI, Objective-C) and Android (Kotlin, Java, Dart, Flutter) for native mobile; AWS and Amazon RDS for infrastructure; WebRTC for video sessions; BigQuery and Metabase for analytics.
NOCD is based in Chicago, Illinois and was founded in 2018. All current hiring is limited to the United States.
NOCD's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.