Where we are, and how we got here.
We believe that robotics and AI are central to strengthening U.S. manufacturing. As AI reduces the (re)programming bottleneck, the next constraint becomes motion performance: accuracy and speed.
Instead of relying on more expensive hardware, Reforge learns the physics of the robot and its environment and applies model-based control to improve precision and throughput.
February 2024
March 2024
June 2024
September 2024
January 2025
June 2025
September 2025
February 2026
The Reforge team has spent a combined 25+ years engineering advanced motion control for applications across 3D printing, oil drilling machines, and robotics.
Vibration suppression on a rotating machine by the use of electromagnetic actuators and a PID controller
Software compensation of undesirable racking motion of H-frame 3D printers using filtered B-splines
Vibration compensation of delta 3D printer with position-varying dynamics using filtered B-splines
Vibration and Tracking Control of Industrial Robots: A Comparison between Time-Varying Filtered B-Splines and Input Shaping
Our journey began in the basement of the H.H. Dow Building at the University of Michigan, where we researched model-based controllers for 3D printing as Ph.D. students.
Co-Founder & CEO
At Stanford, Nosa developed control software for everything from autonomous vehicles to chicken egg incubators for rural farmers in Africa. During his PhD at Michigan, he elevated consumer 3D printers to industrial-grade quality, cutting their costs from $10K to under $1K and applied similar techniques to enhance robot accuracy, which became the impetus to start Reforge Robotics.
Co-Founder & CTO
At the University of Uberlandia in Brazil, Iago developed patented machines with Petrobras. At Michigan, he developed AI-driven, model-based controllers to boost accuracy of industrial robots at high speeds and built digital twins to simulate their performance and predict maintenance conditions. Iago dropped out of the PhD to start Reforge Robotics with Nosa.
Built by engineers and operators focused on making high-performance robotics practical on real factory floors.
Algorithms Lead
Software Lead
CEO of Robust.AI
CEO of Backflip.AI
Head of MFG, Muon Space
GP, MTM Venture Partners
We partner with cutting-edge robotics companies to bring their vision to life.
Become a Partner
Bring one representative trajectory or error dataset. We’ll identify the relevant product, required inputs, and a bounded evaluation plan.
Book a Demo
