Mechanical engineers and designers dedicate around 40% of their time to the labor-intensive process of converting 3D models into 2D fabrication drawings, crucial for manufacturers. Using DraftAid, teams can automate this process with a single click and:
Modern design teams initiate their design by 3D modeling. To get their design manufactured, they need to make 2D drawings that look something like this:
Making 2D drawings for what’s already been modeled in 3D takes up considerable time and energy. Design teams find themselves stuck investing 40% of their time in this manual task. This causes project delays while keeping talented designers busy doing repetitive tasks.
Like any other repetitive manual task, making drawings can also be quite error-prone. Even with accurate designs, errors often sneak in and are only found when fixing them is an expensive endeavor.
Our innovation streamlines the drafting process making it as effortless as a single click. Once engineers complete their 3D design, a single click swiftly produces a manufacturing-ready 2D drawing within seconds.
The resulting drawing is entirely editable, allowing engineers to make any necessary adjustments before sending it off for manufacturing.
DraftAid allows teams to slash their current drawing time by up to 90% and eliminate common drawing errors. This not only enhances efficiency but also ensures consistency in drawings throughout the company, improving overall readability.
We are Mohammed, Abdullah, and Tahsin, a formidable team with a bond forged over three dynamic years of collaboration.
Before the inception of DraftAid, Mohammed Al-arnawoot’s journey included roles as a software engineer and later as a VP of engineering (@ Emagin, acquired by Innovyze) and a Director (@ Dozr) in several start-ups. Navigating the challenging terrain from pre-seed to Series X.
Abdullah Elqabbany is an electro-mechanical engineer who boasts a career marked by the creation of tens of thousands of drawings. Frustrated by the absence of a suitable drawing automation tool in his last role, he took matters into his own hands and built one from scratch.
Tahsin Rahman is a distinguished PhD graduate from the University of Toronto, who brings a wealth of experience in developing cutting-edge machine-learning solutions. In his previous role, he spearheaded an engineering team within the Canadian National Defence, crafting an AI-powered cybersecurity solution.