HBK, VI-grade, and MOVEdot Formed Engineering Partnership
Automotive teams can now use AI agents to streamline simulation and physical testing workflows.
Updated on Sept. 21, 2026 in Automotive — General
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HBK and VI-grade have partnered with MOVEdot to integrate AI agents into automotive engineering platforms. The new collaboration connects simulation software and physical testing data to accelerate decision-making.
Why it matters
By unifying data from databases, lakehouses, and engineering documents, this partnership enables automotive teams to process complex testing results more efficiently. This integration helps engineers reach development decisions faster than manual analysis allows.
The new integrated platform supports existing simulation software and MATLAB/Simulink tools. This technology connects data across APIs, files, and databases to provide AI-powered insights for automotive projects.
The players
HBK
A provider of test and measurement equipment widely used in automotive research and quality control.
VI-grade
A company specializing in automotive simulation software and motion driving simulators for vehicle development.
MOVEdot
A technology firm focused on AI agents that process and reason across complex engineering datasets.
The details
The MOVEdot agents function by reasoning across disparate test data and simulation results to identify critical information. The platform operates within existing engineering environments by connecting data through lakehouses and APIs, allowing teams to maintain their current software workflows while utilizing AI-driven analysis.
Timeline
September 21, 2026: The partnership between HBK, VI-grade, and MOVEdot was officially announced.
The Home Front
This integration follows the industry trend of embedding AI agents into standard simulation software like MATLAB/Simulink to automate complex engineering reviews. It marks a shift toward unified data environments that bridge the gap between virtual simulation and physical testing.
While this partnership primarily impacts professional automotive engineering workflows, it suggests a broader trend toward faster product iteration and vehicle development. Keep an eye on how these simulation advancements influence the speed and quality of new automotive models hitting the market.
The takeaway
This partnership represents a move toward centralized AI-driven engineering that automates data synthesis from disparate sources. Automotive professionals should evaluate if their current software environment is compatible with these new AI reasoning agents for their next project phase.
Further reading
For more on industry shifts, visit the Automotive — General section.
Source note: This article includes information reported by Engineerlive.
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