Engineering teams face challenges in efficiently executing complex tasks and analyzing large datasets, particularly within performance engineering. This often leads to protracted development cycles and missed opportunities for optimization.

MOVEdot provides a suite of AI agents designed to automate and accelerate engineering workflows, beginning with performance engineering. The AI Co-Engineer agent allows engineers to execute tasks and queries using natural language, while the Deep Research agent performs in-depth analysis of complex engineering data. The platform also features a Generative UI capability for creating reports and visualizations from natural language prompts, and integrates video data to provide a more comprehensive context for engineering insights. This integrated approach aims to streamline data analysis, task execution, and reporting for engineering disciplines.

AI Co-Engineer: Enables natural language execution of engineering tasks and queries.

Deep Research Agent: Facilitates in-depth analysis of complex engineering datasets.

Generative UI: Creates plots, tables, and reports through natural language commands.

Video-Data Integration: Allows for the synchronization and embedding of video data within reports for enhanced context.

Driver Performance Analysis Agent: Specialized agent for analyzing driver performance metrics.

KPI Agent: Designed for KPI generation, analysis, and deriving actionable insights.

The primary target audience includes performance engineers, data analysts, and engineering teams within automotive racing and related industries seeking to optimize workflows and data analysis.

While specific pricing details are not publicly available, the company offers a waitlist for early access and future product releases, suggesting a potential SaaS or subscription-based revenue model.