Maive is an AI-native factory operations platform designed to modernize manufacturing by eliminating pen-and-paper workflows, beginning with automating compliance paperwork for aerospace assemblers. Maive uses a combination of cameras and artificial intelligence to detect process steps and track tool usage within factories, aiming to boost production efficiency, reduce compliance risks, and streamline manual data entry.
How Does Maive Work?
Maive functions as an AI-powered Manufacturing Execution System (MES). The platform automates the collection of critical operational data on the factory floor by:
- Using cameras to visually monitor assembly processes
- Applying AI to detect specific process steps and ensure compliance
- Tracking tool usage to verify correct procedures
- Automating the generation and maintenance of compliance paperwork, beginning with the aerospace sector
By removing the need for manual record-keeping, Maive helps factories improve productivity and reduce the risk of human error.
What Problem Does Maive Solve?
Many factories, especially in regulated industries like aerospace, still rely on pen-and-paper methods for compliance and process tracking. This creates hidden data silos, slows down production, and increases the risk of costly errors or failed audits. Maive addresses these challenges by digitizing and automating process documentation, making important operational data instantly accessible and actionable.
Who Uses Maive?
Maive is built for factory operators, assemblers, and industrial engineers—particularly in highly regulated manufacturing sectors such as aerospace. While the initial focus is on automating compliance paperwork for aerospace assemblers, the platform is designed to be adaptable for other industries and use cases in the future. As Maive expands, factory teams will also be able to customize their own software workflows without the need for coding expertise.
What Makes Maive Different?
Maive stands out by integrating visual AI directly into manufacturing workflows, enabling real-time process verification without manual intervention. Beyond automating paperwork, Maive’s vision is to empower manufacturers to modernize their software without developer resources, supporting the broader trend of onshoring and revitalizing domestic production.
Who Leads Maive?
Maive was co-founded by David Tondreau (CEO) and Will Cray (CTO):
- David Tondreau is a former manufacturing engineer at Rolls-Royce and led product engineering at Dexterity AI, a robotics unicorn, after earning a Masters in Engineering from UC Berkeley.
- Will Cray served as the Machine Learning and Computer Vision tech lead at Dexterity, founded a computer vision startup, and worked on autonomous driving platforms at Intel, with a Master’s in Machine Learning from UT Austin. The founders bring deep expertise in manufacturing, robotics, and AI, and have collaborated closely over a decade-long friendship since their time as college roommates at the University of Virginia. More about their background can be found on the Maive About page.
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