Manufacturing software company CoLab has joined the Nvidia Inception program, a global initiative that supports startups developing innovative AI solutions by providing access to technology, expertise, and a collaborative ecosystem.
As a member, CoLab plans to investigate how Nvidia technologies could speed up the use of AI in teams that design complex physical products.
The two companies are focusing on applications of AI in areas where product development must account for physics, materials, safety constraints, and long development timelines.
This work applies to sectors such as vehicles, industrial equipment, medical devices, and energy infrastructure, where engineering teams iterate on designs to meet performance, cost and reliability requirements.
Founded in 2017, CoLab develops AI-powered software for mechanical engineering and hardware teams. Its EngineeringOS platform brings people, data, and AI into one workspace to support faster design decisions and capture expert knowledge as part of daily work.
CoLab co-founder and CEO Adam Keating said: “This is about accelerating the development of products that matter.
“Whether it’s national security, healthcare, or the energy transition, progress in these areas depends on how quickly engineering teams can design, test, and refine complex physical systems. At CoLab, we envision a future where they can do those things much faster.”
Within the Nvidia Inception programme, CoLab will explore how Nvidia platforms that support advanced simulation, training environments and synthetic data generation can align with its decision-making workflows.
CoLab intends to bring outputs from these tools into a structured process so that relevant data reaches specific engineers at appropriate points in the design cycle.
CoLab co-founder and chief technology officer Jeremy Andrews said: “AI will accelerate how designs are generated and validated.
“But the limiting factor will be decision-making. Our focus is on capturing design intent — the discussions, rationale, and trade-offs behind engineering decisions — and using that context to make AI outputs more relevant and consistent with how teams actually work.”
CoLab also plans to examine how to use Nvidia technologies for AI training and evaluation.
The company said that its platform records a dataset of engineering knowledge through digital design reviews, capturing a continuing record of why decisions were made as well as what changed.
In November 2025, CoLab announced a $72M USD Series C funding round led by Intrepid Growth Partners. The company said it will use the funds to develop new AI agents, build integrations with other engineering and AI applications, expand partnerships, and scale its go-to-market teams. CoLab also indicated that it expects to make several product and partnership announcements before the end of the year.
