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Cohesive Robotics Joins NVIDIA Inception

Cohesive Robotics Joins NVIDIA Inception

June 11, 2022

Brooklyn, New York—June 10, 2022—Cohesive Robotics today announced it has joined NVIDIA Inception, a program designed to nurture startups revolutionizing industries with technology advancements.

Cohesive Robotics is focused on delivering next-generation automation solutions for high-mix manufacturing and fabrication. Its autonomous robotic workcells help manufacturers address growing labor shortages in performing a variety of difficult processes including surface finishing, deburring, grinding and painting.

NVIDIA Inception will allow Cohesive to leverage sophisticated edge computing and digital twin simulation capabilities to deploy turnkey solutions for the 73% of high-mix manufacturers still underserved by robotics. The program will also offer Cohesive the opportunity to collaborate with industry-leading experts and other AI-driven organizations.

“NVIDIA continues to push the boundaries of what’s possible in edge computing for robotics and AI,” said David Pietrocola, Cohesive Robotics Founder and CEO. “We’re thrilled to join their Inception program and accelerate our go-to-market strategy with the NVIDIA Jetson edge AI platform, Isaac and Omniverse frameworks, and their deep bench of AI expertise.”

NVIDIA Inception helps startups during critical stages of product development, prototyping and deployment. Every NVIDIA Inception member gets a custom set of ongoing benefits, such as NVIDIA Deep Learning Institute credits, marketing support, and technology assistance, which provides startups with the fundamental tools to help them grow.

About Cohesive Robotics

Based in New York City, Cohesive Robotics is a technology startup developing smart turnkey robotic workcells for high-mix manufacturing and fabrication operations in construction, aerospace, and other industries. Its proprietary software and AI system avoids costly and time-consuming robot programming and integration, helping manufacturers reduce rework and waste, and address labor shortages in traditionally dangerous or dull operations. 


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