TRAC token that’s powering the OriginTrail network has been launched on Ethereum and is therefore secured by the Ethereum blockchain. TRAC is used for DKG (Decentralized Knowledge Graph) operations within the OriginTrail ecosystem. It powers the trusted knowledge exchange and is essential for performing operations such as: - Publishing and Updating Assets: TRAC is needed to publish and update Knowledge Assets on the OriginTrail network. It enables users to share and maintain their data securely and transparently. - Collateral on OriginTrail Nodes: TRAC can be used as collateral on OriginTrail nodes. This helps ensure the integrity and reliability of the network by incentivizing node operators to perform their tasks honestly and efficiently.

TRAC has a fixed total supply of 500 million tokens, of which 401 million are currently in circulation.

OriginTrail is unique due to the following factors: 1. Trusted Knowledge Infrastructure: OriginTrail is an ecosystem that focuses on building a trusted knowledge infrastructure for artificial intelligence. It ensures the origin of information and fights against misinformation, which is crucial in the age of AI. 2. [Decentralized Knowledge Graph](https://origintrail.io/technology/decentralized-knowledge-graph): OriginTrail utilizes a unique Decentralized Knowledge Graph, which allows for the organization and discovery of trusted AI-ready Knowledge Assets. This graph enables efficient search and solutions powered by AI for enterprises and individuals worldwide. 3. Open-source development: The technical development of OriginTrail is open-source and driven by the OriginTrail community. The core developers actively maintain the open-source stack, including node software, SDKs, blockchain modules, and visual libraries. This approach fosters collaboration and innovation within the ecosystem. 4. Trace Alliance partnership: The OriginTrail ecosystem comes together under the non-profit [Trace Alliance](https://alliance.origintrail.io/) organization. With over 150 members worldwide, Trace Alliance serves as a partnership hub for exchanging knowledge, experiences, and networking. This collaboration enhances the development and adoption of diverse [Decentralized Knowledge Graph](https://origintrail.io/technology/decentralized-knowledge-graph) topics. 5. Support from world-class organizations: OriginTrail has gained support and partnerships with world-class organizations such as British Standards Institution, SCAN, Polkadot, Parity, Walmart, World Federation of Hemophilia, Oracle, and the EU Commission's Next Generation Internet. These partnerships contribute to advancing OriginTrail's trusted knowledge foundation and its applicability in trillion-dollar industries. 6. [OriginTrail Parachain](https://origintrail.io/technology/origintrail-parachain): OriginTrail also incorporates the OriginTrail Parachain, which is a key component of its infrastructure. The Parachain, soon to transform into NeuroWeb, plays a vital role in the implementation of OriginTrail technology with leading global enterprises and customers.

The founders of OriginTrail, Žiga Drev, Tomaž Levak, and Branimir Rakić, founded OriginTrail with the goal of developing and implementing the OriginTrail technology. They aimed to create a decentralized knowledge graph and infrastructure that could be utilized by enterprises and customers worldwide. The enterprises that are currently using OriginTrail include, British Standards Institution (BSI), Supplier Compliance Audit Network (SCAN), Swiss Federal Railways (SBB), World Federation of Hemophilia (WFH), EU and UK government projects, and others. The core principles of the OriginTrail ecosystem, including neutrality, inclusiveness, and usability, guided their development efforts. By partnering with leading tech companies and launching a grant program, they aimed to mitigate risks and foster community development on the OriginTrail network.

[OriginTrail](https://coinmarketcap.com/currencies/origintrail/) is an ecosystem building a trusted knowledge infrastructure for artificial intelligence. It addresses the challenge of misinformation in the AI era by ensuring the origin of information and enabling discoverability of the world's most important knowledge and real world assets (RWAs). OriginTrail is creating a Verifiable Web for decentralized AI by empowering world class brands and builders. It utilizes its unique [Decentralized Knowledge Graph](https://origintrail.io/technology/decentralized-knowledge-graph) and [OriginTrail Parachain](https://origintrail.io/technology/origintrail-parachain) to deliver AI-powered search and solutions for enterprises and individuals worldwide. OriginTrail has gained support and [partnerships with world-class organizations](https://origintrail.io/solutions/overview) such as British Standards Institution, SCAN, Polkadot, Parity, Walmart, World Federation of Hemophilia, Oracle, and the EU Commission's Next Generation Internet. These partnerships contribute to advancing OriginTrail's trusted knowledge foundation and its applicability in trillion-dollar industries, while providing a verifiable web of knowledge important in particular to drive the economies of RWAs. The best way to see the technology in action is by checking ChatDKG, which is an experimental, question answering bot on X (Twitter) based on trusted Knowledge Assets in OriginTrail Decentralized Knowledge Graph. The ChatDKG provides answers based on [OriginTrail trusted AI](https://twitter.com/ChatDKG/status/1725965175394595053). [The Metcalfe phase of the updated roadmap](https://origintrail.io/ecosystem/roadmap) pursues an ambitious goal of creating the world’s largest verifiable web for AI consisting of 100 billion Knowledge Assets, bringing a 100.000x scalability increase. As the name of the phase suggests, it will seek to produce network effects across the OriginTrail DKG and use novel techniques to pursue autonomous DKG growth based on the genesis knowledge foundation being created by [organizations and individuals alike](https://origintrail.io/ecosystem/landscape). The genesis part of the Metcalfe’s phase also introduces knowledge mining and knowledge signaling capabilities to drive constant growth of the Verifiable Web. Following the Genesis stage and the transition to an AI-native V8, further capabilities will become available in the Convergence stage. By leveraging the advancements in AI and the DKG, we will unlock autonomous knowledge mining which in turn leads to an autonomous DKG. At that stage, new knowledge gets added to the DKG with very limited human involvement. Services such as AI agents will be performing knowledge inferencing directly on the DKG to find any “blind spots” in the knowledge they can fill as well as search for new knowledge and bring it to the DKG in accordance with knowledge signaling.