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Winter 2024B2B

Draftaid

Go from 3D models to CAD drawings using AI

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About Draftaid

DraftAid is the world's first generative AI for CAD manufacturing drawings, akin to GitHub Copilot but for CAD. It drastically shortens drawing creation time, turning hours into seconds. Every product that is manufactured - from construction to aerospace, automotive, durable goods, and electronics—relies on drawings. Currently, engineers and designers painstakingly make these essential drawings manually. Draftaid streamlines this process saving teams millions in time and quality. The idea was born out of Abdullah's experience as a mechanical design team member, where he created thousands of drawings and longed for a more efficient process. Partnering with Tahsin, a neighbour with a PhD in AI, and Mohammed, a seasoned engineering VP with experience in construction software, they turned the dream into reality. Since their launch in August, DraftAid has engaged customers through targeted outreach and word-of-mouth, securing paid pilots with subsequent contracts valued at $150,000. Be a part of ushering in the new era of CAD designs!

Quick facts

YC Batch
Winter 2024
Founded
2023
Headquarters
Toronto, Canada
Team size
3
Industry
B2B • B2B -> Engineering, Product and Design
Tags
construction, design, manufacturing, architecture, ai-assistant
Website
draftaid.io
Profiles
LinkedIn

Founders

Mohammed Al-arnawoot
Founder
Founder and CEO of DraftaidHe studied Mechatronics engineering at University of Waterloo with a focus on manufacturing systems. Before DraftAid, Mohammed worked as a Director of Engineering at Dozr, a Series B constructi…
Abdullah Elqabbany
Founder
Abdullah is an electromechanical engineer with years of experience in design and manufacturing. In his last role Abdullah led manufacturing process automation where he worked to bridge the gap between design and manufact…
Tahsin Rahman
Founder
Cofounder and CTO of Draftaid, Tahsin has a PhD from the University of Toronto in Electrical and Computer Engineering. He has pioneered algorithms and machine learning techniques at the intersection of geometry, wireless…

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