Microagi
Microagi is an AI research and deployment lab that builds models to give industrial robots human-like skills and reasoning. Its Atlas product runs autonomous robotics on existing hardware in closed-loop operations, while Shift captures real-world work processes to generate training data without interrupting production lines.
- Robotics
- Industrial Automation
- Artificial Intelligence
- Manufacturing / Industry 4.0
Funding
Raised to date
$55MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
$55M · Seed
Announced Jul 2026
Disclosed cumulative: $55M
Founders
Founder details are not available yet.
Product
Problem
Industrial automation typically requires extensive, rigid programming for each task, making it difficult and costly to deploy versatile robots across varied operational environments. This limits the speed and flexibility with which companies can adapt automation to changing production needs.
Solution
Microagi is a data research and deployment lab that builds AI models designed to instill human-like skills and reasoning into robotic systems. The platform enables robots to learn complex tasks through intuitive instruction rather than extensive, rigid programming, accelerating the deployment of versatile automation. Their Atlas product deploys autonomous robotics into the operations of major industrial companies, running closed-loop on hardware that is already in place. Their Shift product records how physical work actually happens and converts it into training-ready data, with no teleoperation and no interruption to production lines.
Target Audience
Primary customers are the world's most important industrial companies seeking to deploy autonomous robotics and improve automation versatility in their operations.
Features
- Atlas: Autonomous robotics deployed into industrial operations, running closed-loop on existing hardware
- Shift: Records physical work processes and turns them into training-ready data without teleoperation or line interruption
- AI models focused on instilling human-like skills and reasoning into robotic systems
- Intuitive instruction-based learning approach that reduces the need for rigid programming