Join us in building an open source decentralized ecosystem for autonomous intelligent agents

Product

Distributed computations

Pallium Network is a distributed computing network for ML. It is decentralized and self-organized and it has processes and events occurring between its participants and getting managed also by them with the help of blockchain technology. Pallium network is capable of performing computing tasks of different scale and complexity.

Agent-oriented approach

The network is based on Autonomous Intelligent Agents (AIA). This is a program component of the Pallium Network performing an assigned task. An agent interacts with the network getting the data about events in the network, interpreting them and creating new events. Each agent has its owner that defines agent’s competences choosing how to perform tasks.

Resources and Competences Market

Pallium Network participants build a market of computation and information resources and competences with the help of agents. The market participants have access to buy and sell data and computation resources, agent’s competences, agent’s ownership.
AI DEVELOPERS DATAPROVIDERS ORGANIZATIONS MINERS VIRTUAL MACHINE EXECUTIONENVIRONMENT IPFS BLOCKCHAIN Autonomous Intelligent Agents Autonomous Intelligent Agents

Mission

Pallium Network’s main mission is to contribute to development of artificial intelligence and machine learning and their implementation in the real and financial sectors of economy. Using ML in different areas allows not only directly improving the standard of living but also foreseeing and simulating the future.

Pallium Network performs its mission by creating a distributed computing network with the internal economy. Pallium Network’s economy is based on the market of computation and information resources and entities’ (agents’) competences capable of performing an assigned task. Market participants regulate interactions between each other by themselves and transfer resources and competences directly to each other.

Practically it allows optimizing expenses of AI developers who provide competences and of those who use AI for business processes; it also makes it possible to gain profit for data owners and owners of computation powers and competences.