Based in California, US, and founded in 2023 by Yuchen Jiang, Kevin Lin, and Chen Chen, OpenLayer operates as a provider of a decentralized platform designed…
Based in California, US, and founded in 2023 by Yuchen Jiang, Kevin Lin, and Chen Chen, OpenLayer operates as a provider of a decentralized platform designed to transform traditional data flows by enabling individuals to reclaim, own, and share their data securely. In November 2024, Openlayer raised USD 5 million in seed funding from Andreessen Horowitz, Geometry, IOSG Ventures, Spartan Group, Public Works, LongHash Ventures, Eterna Capital, MH Ventures, Side Door Ventures, Cadenza Capital Management, and IDG Capital. OpenLayer's core offerings revolve around providing a platform that empowers users to reclaim, own, and share their data while ensuring privacy and security. The company facilitates data contributions from individuals, enabling a more personalized internet experience. Users can earn points for their contributions by validating public data and securely sharing their private information. OpenLayer's services focus on helping businesses harness authentic user data to train and fine-tune AI models, enhance features, and deliver targeted user experiences. Its data feeds, authenticated through optimistic verifiable compute (OVC), allow organizations to access private user data with user consent from various platforms. OpenLayer generates revenue primarily through partnerships and subscription models that facilitate access to its data services. Clients, including businesses and developers, engage with OpenLayer to leverage authentic user data for AI model training and user engagement strategies. The transaction structure typically involves subscription fees for continuous access to data feeds and services, with different pricing tiers catering to various organizational needs. The company plans to use its proceeds from November 2024 funding to enhance its workforce and expand its infrastructure, with plans to introduce online proofs that will transform data usage and sharing across platforms.
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