
Celesnity unifies fragmented factory operations through Minder AI, an autonomous operating system that connects humans, robots, machines, sensors, and existing software into a shared intelligence layer. The platform enables real-time visibility, predictive insights, and approved decisions that flow directly into physical execution across the factory floor.
Funding
Funding not disclosed
Founders
Product
Problem
Today's factory is not a single system but a collection of disconnected parts, each operating on a different version of reality. Managers see the consequences of operational issues but rarely the root causes, and the lack of shared context prevents timely, informed decision-making across the enterprise.
Solution
Minder AI acts as the shared memory of the factory, connecting every event across humans, robots, machines, sensors, and existing software systems. It learns patterns to predict what comes next, enabling approved decisions to move from insight to physical execution automatically. The platform provides a unified, real-time view of people, assets, workflows, and conditions, allowing teams to detect issues early and coordinate responses effectively. By distributing intelligence across on-device, on-edge, platform, and robotics layers, Minder AI enables the factory to see, feel, hear, learn, predict, and act as a cohesive organism.
Target Audience
Manufacturing operations managers, plant directors, and industrial automation teams seeking to unify disconnected systems and enable autonomous decision-making across their factory floors.
Features
- Minder On-device: mobile and wearable interfaces that let frontline teams capture operational knowledge and receive AI guidance wherever work happens
- Minder On-edge: edge computing that processes live signals from equipment and sensors locally for faster, more resilient operational intelligence
- Minder Platform: unified real-time dashboard for monitoring people, assets, workflows, and conditions to detect issues and coordinate decisions
- Minder Robotics: enables robotic systems to perform approved repetitive, hazardous, and physically demanding tasks alongside human teams
- Autonomous OS architecture that integrates AI across human, software, hardware, and robotics layers for end-to-end decision execution