3D-Printed Grippers Aim to Cut Lead Times for Robotics Teams

Physical AI is moving fast. The companies building warehouse robots, lab automation, and home assistants are scaling quickly, but their hardware is not keeping up. Ethan Wicko, CEO of Minnesota-based Transcend Mechanics, says the bottleneck is not capability. It is lead time and cost.

The Hardware Bottleneck

Most physical AI startups come from a software background. They are used to shipping code multiple times a day. When they need a custom gripper or robotic end effector, the hardware cycle drags them down. Traditional grippers require separate parts, assembly, and weeks of waiting for suppliers. A single design change can reset the entire timeline.

Transcend Mechanics, founded in 2022 and rebranded in 2025, started with generative design software for compliant mechanisms. The team used that software to design grippers that print as one piece instead of an assembly of pins, pivots, and rigid segments.

How the Nibbler Gripper Works

The Nibbler gripper combines rigid PETG with flexible TPU in a single print. Where a traditional parallel gripper uses pinned joints, the Nibbler uses TPU flexures engineered to meet specific fatigue requirements. The result is a functionally equivalent gripper with no assembly step and no weak bond lines.

The company targets two markets. The first is physical AI teams building data farm equipment, home robots, and lab systems. The second is traditional industrial users running arms from Universal Robots and similar platforms who need more reliable end effectors. The goal is not to outperform existing grippers on paper. It is to match them while cutting lead time from weeks to hours.

3D Printing as Production, Not Just Prototyping

Wicko is clear that the biggest obstacle is not print speed. It is perception. Customers see layer lines and assume the part is a prototype, not a finished product. Transcend plans to keep 3D printing as its production method for now, scaling with additional machines rather than switching to injection molding.

The company is in pre-launch, working with early partners. The roadmap includes expanding the generative design software into new hardware verticals, eventually designing more of the robot itself, not just the gripper. For now, the message is simple: if your software iterates in days, your hardware should not be the thing holding you back.