CoLab has joined the NVIDIA Inception program, a global initiative supporting AI innovators, to advance the use of artificial intelligence in engineering complex physical products. The partnership aims to accelerate the development of critical systems across industries such as automotive, industrial equipment, medical devices, and energy infrastructure—areas where design cycles are long, safety is paramount, and physical testing is costly and time-consuming. Adam Keating, Co-Founder and CEO of CoLab, emphasized the importance of speeding up engineering innovation. “This is about accelerating the development of products that matter,” he said. “Whether it’s national security, healthcare, or the energy transition, progress depends on how quickly teams can design, test, and refine complex systems. At CoLab, we envision a future where they can do that much faster.” Unlike digital products, physical systems cannot be rapidly updated once deployed. Engineering teams rely on simulation, digital twins, and advanced modeling to predict performance before manufacturing. These tools generate vast amounts of data, but the real bottleneck lies in decision-making—interpreting results, evaluating trade-offs, and making informed choices. CoLab’s platform, described as an Engineering Operating System for the AI era, is designed to address this challenge. It serves as a human-in-the-loop interface where engineers collaborate, document their reasoning, and use AI-generated insights to make faster, more consistent decisions. The goal is to reduce design iteration times from months to days—or even hours—without removing engineers from the process. Jeremy Andrews, Co-Founder and CTO, highlighted the need to preserve design intent. “AI will accelerate how designs are generated and validated,” he said. “But the limiting factor is decision-making. Our focus is on capturing the context behind engineering choices—the discussions, trade-offs, and rationale—so AI outputs align with how teams actually work.” Through the NVIDIA Inception program, CoLab will integrate NVIDIA’s advanced technologies, including high-performance simulation platforms, synthetic data generation, and AI training environments. These tools can model complex physical behaviors with high fidelity. CoLab will then embed these outputs into its collaborative workflow, ensuring engineers receive timely, relevant insights. The partnership also includes exploring AI training and evaluation. CoLab’s platform captures a unique dataset of engineering knowledge through digital design reviews—creating a persistent record of why decisions were made. When combined with NVIDIA’s AI infrastructure, this context can improve the accuracy and consistency of AI agents like CoLab’s AutoReview. Taylor Young, Chief Strategy Officer, said the move reflects CoLab’s broader strategy: “We’re building partnerships across the engineering AI landscape so our customers can leverage best-in-class capabilities, while CoLab provides the collaboration layer that turns those tools into faster, better decisions.” Founded in 2017, CoLab serves leading manufacturers across multiple sectors. Its inclusion in the NVIDIA Inception program underscores its role in shaping the future of AI-driven engineering.