Read AI builds an AI copilot that integrates into Zoom, Google Meet, Slack, and email—capturing real-time audio, processing it, and surfacing summaries and recommendations. The stack reveals a mobile-first, distributed systems approach (iOS, Android, Kotlin, Jetpack Compose, Kubernetes, FastAPI) paired with native integrations across major communication platforms. Current hiring accelerates across engineering and leadership (director and VP roles), while active projects in real-time audio processing, scalability, and freemium-to-paid conversion suggest the company is moving from product-market fit into growth and operational scaling.
Read AI develops an AI copilot for workplace productivity, embedded into meetings, email, and messaging tools. The product synthesizes meeting transcripts, surfaces relevant content, and delivers contextual recommendations to knowledge workers at enterprise companies. Founded in 2021 and headquartered in Seattle, the company operates with a 51–200-person team, predominantly engineering-focused, and serves across the United States. The platform integrates natively with Zoom, Google Meet, Slack, HubSpot, and Salesforce, and runs on a cloud-native stack (AWS, Kubernetes, Docker) with mobile clients for iOS and Android.
Read AI uses Zoom, Google Meet, Slack, and Salesforce for integrations; Python, FastAPI, and Node.js/TypeScript for backend services; React and mobile frameworks (Swift, Kotlin, Jetpack Compose) for frontends; AWS, Kubernetes, and Docker for infrastructure; and Figma for design.
Read AI is headquartered in Seattle, Washington. The company was founded in 2021 and is privately held with 51–200 employees.
Read AI'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.