OpenLedger: A Blockchain Platform Secures $8 Million in Funding for AI Applications

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by Giorgi Kostiuk

2 years ago

Made with AI


OpenLedger, a blockchain platform tailored for artificial intelligence applications, has successfully obtained $8 million in its initial funding round. The primary backers of this funding are Polychain Capital and Borderless Capital.

OpenLedger provides an infrastructure that enables users to manage data across its lifecycle without the need for permission. This infrastructure empowers developers to create more sophisticated and efficient models using verifiable data.

The investment round also saw contributions from Finality Capital, Hash3, HashKey Capital, STIX, TRGC, Mask Network, MH Ventures, WAGMI Ventures, and prominent angel investors like Sreeram Kannan (EigenLabs), Balaji Srinivasan, Sandeep Nailwal (Polygon), Kenny Li (Manta), Scott Moore (Gitcoin), Chainyoda, Vyas Krishnan (EigenLabs), Sebastien Borget (Sandbox), Alan Curtis (EigenLabs), Trevor (Polymath), Aniket Jindal (Biconomy), Paul Taylor (Ex BlackRock), and Dino (Fluent Labs).

OpenLedger's approach to enhancing AI revolves around three core elements: data, processing power, and algorithms. Data availability and quality currently present the primary challenge in AI development, directly impacting the efficacy of AI models derived from it.

OpenLedger addresses this challenge by providing an unrestricted and auditable data-centric framework, fostering the growth and evolution of artificial intelligence. The team boasts a proven track record in the decentralization domain, collaborating with renowned entities such as Sony, Walmart, Polygon, Hedera, and Flow (Dapper Labs).

The AI market has witnessed substantial growth, escalating from $50 billion in 2023 to $184 billion in 2024, with projections exceeding $826 billion by 2030. Polychain Capital and Borderless Capital emphasize that OpenLedger tackles a critical issue that will propel significant expansion in the widespread adoption and integration of Web3 and AI across diverse new landscapes.

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