AI Technology & Platform

AI Technology & PlatformAI Technology & Platform

AI Technology & PlatformAI Technology & Platform

Multi-Agent Technology Ltd offers the digital platform and the real-time optimization solution suite with the following main capabilities:

  • Adaptive Planning & Scheduling
  • Proactive Optimisation
  • Built in Simulator
  • Web and Mobile UI’s

Usually, the ERP systems are developed as one large and rigid, centralised, hierarchical, monolithic, and single-thread (single-processor) software system.

We design our multi-agent solutions as bio-inspired self-organised systems with distributed and coordinated decision making.

Our systems are based on networks of many small software objects (so called “agents”) that compete and co-operate on a virtual market.

The list of main classes of agents includes agents of orders, products, processes, tasks and resources but millions of instances of which they are able to work as one team and achieve their goals by discovering and solving conflicts in the auction-like negotiations.

This processed self-organisation of the agents runs asynchronously and in parallel, fully utilising parallel multi-threading (multi-processor) computations, until agents reached a consensus (a dynamical equilibrium) that reflects the balance of interests of all parties involved.

It works like a colony of ants or a swarm of bees in the nature, demonstrating the emergent intelligence emerging from a community of agents by chains of hundreds of thousands of coordinated decisions.

This process enables a rapid rescheduling of any affected part of the schedule when a disruptive event affects the operation. The distributed decision making process does not require any extensive computational power and it is very reliable.

Our technology platform enables a fast prototype and solution development for new business-domain areas.

Multi-Agent Technology Ltd offers the digital platform and the real-time optimization solution suite with the following main capabilities:

  • Adaptive Planning & Scheduling
  • Proactive Optimisation
  • Built in Simulator
  • Web and Mobile UI’s

Usually, the ERP systems are developed as one large and rigid, centralised, hierarchical, monolithic, and single-thread (single-processor) software system.

We design our multi-agent solutions as bio-inspired self-organised systems with distributed and coordinated decision making.

Our systems are based on networks of many small software objects (so called “agents”) that compete and co-operate on a virtual market.

The list of main classes of agents includes agents of orders, products, processes, tasks and resources but millions of instances of which they are able to work as one team and achieve their goals by discovering and solving conflicts in the auction-like negotiations.

This processed self-organisation of the agents runs asynchronously and in parallel, fully utilising parallel multi-threading (multi-processor) computations, until agents reached a consensus (a dynamical equilibrium) that reflects the balance of interests of all parties involved.

It works like a colony of ants or a swarm of bees in the nature, demonstrating the emergent intelligence emerging from a community of agents by chains of hundreds of thousands of coordinated decisions.

This process enables a rapid rescheduling of any affected part of the schedule when a disruptive event affects the operation. The distributed decision making process does not require any extensive computational power and it is very reliable.

Our technology platform enables a fast prototype and solution development for new business-domain areas.