
RadMate AI
InactiveCopilot for radiologists
About
We’re building the AI copilot for radiologists, powered by a foundational model for medical imaging. RadMate AI will read radiology images and generate full reports for radiologists to review and submit. Mohamed and Adam are technical co-founders who met while studying Computer Science at Cornell University. Before starting RadMate AI to solve the problems his dad faced as a radiologist, Adam worked at Palantir on the initial launch of Palantir’s Al Platform. Mohamed has experience at AWS, where his goal was to help enterprises innovate on the cloud, and PathAl, where he worked on their image viewer platform to improve the workflow of pathologists.
Founders · 2
Cofounder & CEO of RadMate AI. Cornell University Alumni. Worked at Amazon Web Services as a Customer Solutions Manager. In this role, I played a pivotal part in assisting customers with their migration to and innovation on the cloud. Following this, I joined PathAI as a Software Engineer, a Biotech company at the forefront of integrating AI into pathology.
Cofounder and CTO of RadMate AI. Before starting RadMate AI, I graduated Cornell with a computer science degree and worked at Palantir as a software engineer on the AI Platform.
Launch
We help radiologists dictate error-free reports with 30% fewer words.
RadMate AI builds an AI assistant for radiologists that reads medical images, lets radiologists dictate observations, and generates and proofs reports to reduce word count and improve accuracy. The launch presents the product, its target users (radiologists), and the core value of lowering speech workload, minimizing clicks, and proofreading reports.
From the original launch (Jan 2024) — may be outdated.
Formerly “RadMate”
Related startups

Foundation models to automate x-ray analysis for radiologists

Rapid medical data annotation



