OriginTrail
Verifiable knowledge graph protocol for trusted AI.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| N/A | €0.0 | round | |
N/A | Seed | ||
| Total Funding | 000k | ||
| EUR | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | (99 %) | - | - | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | 80 % | (1007 %) | - | - | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | - | (2 %) | - | - | - |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
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OriginTrail is a decentralized knowledge graph (DKG) ecosystem designed to organize and verify information, creating a trusted data infrastructure for artificial intelligence and various industries. The protocol combines blockchain technology with knowledge graphs to structure and connect data, making it discoverable, verifiable, and valuable. This neuro-symbolic AI approach merges the structured data of knowledge graphs with the creativity of neural AI like large language models, ensuring data integrity and provenance.
The project was founded in 2013 by Žiga Drev, Tomaž Levak, and Branimir Rakić, initially focusing on improving traceability in food supply chains. Realizing the limitations of a centralized system for broader applications, they developed a decentralized solution. In January 2018, OriginTrail launched an Initial Coin Offering (ICO) and raised $22.5 million. The core development is handled by Trace Labs, which has formed partnerships with entities like Oracle, BSI (British Standards Institution), and SCAN (Supplier Compliance Audit Network). Notable clients include SCAN, whose members represent 40% of US imports, and Swiss Federal Railways (SBB).
OriginTrail's ecosystem operates on a multi-chain architecture, including Ethereum, Polygon, and its own Polkadot-based parachain called NeuroWeb. The business model is driven by a dual-token economy. The TRAC token is the primary utility token used to publish and update data as "Knowledge Assets" on the DKG and to compensate network node operators. The OTP token, native to the NeuroWeb parachain, is used for blockchain gas fees and to incentivize the growth of DKG usage. This structure enables businesses to share and verify data securely across various sectors, including supply chain, transportation, healthcare, and construction, while maintaining data ownership and privacy.
Keywords: decentralized knowledge graph, trusted AI, data verification, blockchain, supply chain traceability, neuro-symbolic AI, data interoperability, real-world assets, TRAC token, Web3, knowledge assets, data provenance, verifiable internet, Trace Labs, NeuroWeb, Polkadot, data integrity, enterprise solutions, asset tokenization, information provenance