Blockchain-AI Startup Space and Time Secures $20M to Revolutionize Data Trust and Decentralization

August 28, 2024
Blockchain-AI Startup Space and Time Secures $20M to Revolutionize Data Trust and Decentralization
  • Nate Holiday, cofounder and CEO of Space and Time, emphasizes the need for transparency in an AI-driven world where distinguishing between AI and human-generated content is increasingly challenging.

  • Space and Time (SxT), a startup focused on integrating blockchain technology with artificial intelligence, aims to tackle issues of verifiability and trust in data management.

  • Recently, SxT raised $20 million in a Series A funding round, bringing its total funding to $50 million, with notable investors including Framework Ventures and Lightspeed Faction.

  • Other investors in this funding round include Arrington Capital, Hivemind Capital, Microsoft's M12 Ventures, DCG, F-Prime Capital, OKX Ventures, Circle Ventures, and Alumni Ventures.

  • The new funding will enhance SxT's engineering and product development efforts, promoting ecosystem and community growth.

  • According to OKX Ventures, SxT's technology has already generated over $4.5 million in annual recurring revenue and is compatible with major blockchain networks such as Ethereum and Bitcoin.

  • SxT has developed a product called Proof of SQL, a zero-knowledge coprocessor that enables trustless data processing and allows smart contract developers to verify data integrity.

  • Since entering beta in April 2023, the Proof of SQL stack has processed over 5.3 billion database requests, averaging 500,000 queries per month.

  • This technology is particularly useful in decentralized finance (DeFi) for assessing borrower credibility and monitoring asset performance.

  • The company's mission is to decentralize data ownership, preventing a few powerful entities from dominating AI-based applications.

  • Michael Anderson of Framework Ventures highlighted the potential for SxT to extend its use cases beyond blockchain into traditional finance through blockchain-native tools like zero-knowledge proofs.

  • Additionally, SxT is working on creating verifiable large language models (LLMs) to enhance the safety and reliability of AI applications.

Summary based on 4 sources


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