Detroit Engineered Products launches AI platform to speed up product development
Detroit Engineered Products has released DEP AIWorks, an AI-powered platform that combines machine learning with physics-based simulation to cut product development timelines. Engineers can build and deploy models in weeks instead of months, and reduce simulation turnaround times from hours to minutes.
The platform integrates neural networks and physics-informed models with existing Computer Aided Engineering (CAE) solvers. It works across automotive, aerospace, energy, manufacturing, telecom, and other sectors.
How it works
DEP AIWorks is designed to be physics-agnostic and tool-agnostic, meaning teams can work across different datasets, engineering domains, and stages of product development without switching platforms. The system maintains accuracy aligned with real-world engineering constraints rather than sacrificing precision for speed.
"DEP AIWorks reflects the next step in how engineering organizations will adopt AI, not as a standalone tool, but as an integrated part of the product development lifecycle," said Radha Krishnan, President & Founder of DEP. "By combining decades of simulation expertise with advances in AI, we are enabling teams to move faster while maintaining engineering rigor and reliability."
What this means for product teams
For product development professionals, the platform addresses a core challenge: simulation bottlenecks. Traditional CAE solvers can take hours to run a single analysis. Cutting that to minutes means teams can test more design iterations earlier, when changes are cheaper and faster to implement.
The ability to build models in weeks rather than months also matters for project schedules. Teams spend less time on infrastructure and more time on engineering decisions.
Learn more about AI for Product Development and how machine learning techniques like those in DEP AIWorks are reshaping engineering workflows.
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