Imagine an Airbnb for factory machines. Instead of buying expensive equipment, a company can rent unused machine time from another factory through a smart digital app. AI agents handle the negotiations and scheduling automatically, making it easy to produce parts without owning the whole plant.
Manufacturers face high entry barriers due to expensive equipment costs and inefficient use of existing machine capacity, leading to wasted resources and slow response to market changes.
A digital ecosystem consisting of a Cloud MaaS Marketplace, a Provider Suite, and AI autonomous agents for capacity negotiation.
If you are a precision parts manufacturer dealing with sudden spikes in demand and idle machines — this project developed a Cloud MaaS Marketplace that allows you to rent out your spare capacity to others or find extra machine time instantly.
If you are a medical material startup dealing with high upfront costs for specialized production equipment — this project developed the MaaSAI System that provides on-demand access to decentralized production capacities.
If you are an electronics assembly plant dealing with rigid supply chains and slow response times — this project developed autonomous agents and secure real-time data exchange to optimize resource utilization and value-chain integration.
The system aims to reduce the heavy investments that manufacturers traditionally make to set up and maintain their own operations by providing on-demand access to existing capacities.
Yes, the system is being validated through 5 industrial pilots across sectors including metal machining, food processing, and electronics manufacturing.
Based on available project data, the project will deliver three exploitable results: the Cloud MaaS Marketplace, the Provider Suite, and the integrated MaaSAI System, though specific licensing terms are not listed.
The project utilizes blockchain, secure messaging, and a secure real-time data exchange infrastructure to ensure cybersecurity and trust between providers and consumers.
The project runs from 2024-12-01 to 2027-11-30, with validation occurring across 5 pilots during this period.
The consortium is heavily weighted toward practical application, with 43% industry participation including 11 SMEs. With 21 partners across 9 countries, the group balances academic research (3 universities, 5 research centers) with a strong industrial base, ensuring the AI agents and marketplace are built for real-world factory environments.
Contact the National Centre for Research and Technological Development (REC) in Greece.
Contact us to connect with the MaaSAI consortium for pilot opportunities.
