Cohesive Robotics :: AI-Powered Turnkey Robotic Workcells Specifically Designed for High-Mix, Low-Volume Manufacturing

Cohesive Robotics is a Brooklyn, New York-based robotics company (founded in 2022) that develops AI-powered turnkey robotic workcells specifically designed for high-mix, low-volume manufacturing. The company focuses on automating complex, variable tasks such as surface finishing (sanding, grinding, polishing, buffing) and welding, where traditional programming is time-consuming and inflexible. By combining industrial and collaborative robots with proprietary Argus OS software, Cohesive enables rapid deployment and adaptability without requiring CAD models, manual teaching, or extensive reprogramming.

The core innovation is Argus OS, an AI-powered software platform that uses integrated cameras and sensors to scan workpieces in real time. It automatically generates optimized motion paths and process parameters. This “Scan. Plan. Go.” workflow allows manufacturers to switch between different parts in minutes, dramatically reducing downtime and enabling quick responses to new orders or product variations. The system supports sub-millimeter precision, adaptive force control, and continuous process monitoring.

Key robot-based products include:

• Smart Finishing Robotic Workcell: A complete, pre-engineered system for polishing, sanding, grinding, and buffing. It delivers consistent, high-quality finishes while reducing rework and scrap by up to 90%. It is ideal for metal fabrication, aerospace, medical devices, and architectural metals.
• Smart Welding Robotic Workcell: Supports MIG, TIG, laser, and other welding processes. It handles complex, variable parts with no programming required, helping manufacturers scale welding capacity while addressing skilled welder shortages.

These systems offer 50%+ output boosts, 6-month typical payback periods, and flexible financing options. They are targeted at small-to-medium manufacturers in aerospace, defense, construction, metal fabrication, and medical technology.