In an era where data is the new currency and trust is paramount, the convergence of artificial intelligence (AI) and blockchain technology is redefining how enterprises process, verify, and utilize information. At the heart of this transformation lies Space and Time (SxT) — a groundbreaking verifiable compute layer that bridges onchain and offchain data with cryptographic integrity. We’re proud to announce our strategic investment in SxT, a project poised to revolutionize data verification across AI, blockchain, and enterprise systems.
The Data Verification Challenge
As organizations increasingly rely on smart contracts and large language models (LLMs), the need for tamperproof, auditable data processing has never been greater. Traditional databases lack transparency, while onchain solutions often struggle with scalability and cost. This gap creates a critical vulnerability: how can we trust computations performed offchain when they influence high-stakes decisions in decentralized applications?
Enter Space and Time, a solution engineered to solve this exact problem. By combining zero-knowledge proofs, AI-driven analytics, and scalable data warehousing, SxT enables enterprises to run complex database operations offchain — then cryptographically prove their correctness onchain.
👉 Discover how verifiable computing is reshaping enterprise data integrity
A Breakthrough in Zero-Knowledge Technology
At the core of SxT’s innovation is a custom-built zero-knowledge (ZK) circuit designed specifically for database computation. Over the past two years, the SxT research team has developed this circuit from the ground up, achieving performance levels previously thought unattainable. Unlike general-purpose ZK systems, SxT’s architecture is optimized for SQL-like queries, making it uniquely suited for real-world enterprise workloads.
This means developers can now execute billions of database transactions offchain — such as aggregating user behavior, validating financial records, or training AI models — and generate cryptographic proofs that these operations were performed correctly. These proofs are then verified onchain, ensuring full transparency without sacrificing speed or privacy.
The implications are profound for sectors like DeFi, gaming, Web3 infrastructure, and even traditional Web2 enterprises looking to integrate blockchain-based auditability into their systems.
Proven Performance at Scale
Since launching its Proof of SQL tech stack in beta in April 2023, SxT has demonstrated remarkable traction. The platform now processes an average of:
- 5.3 billion database requests per month
- 500,000 verified queries monthly
These numbers aren’t just impressive — they reflect real-world demand. Across diverse use cases, SxT has generated over $4.5 million in annual recurring revenue, validating its commercial viability and technical robustness.
Moreover, SxT supports indexing across major blockchains including Ethereum, Bitcoin, ZKSync, Polygon, Sui, Aptos, and Sei, enabling cross-chain data interoperability with verifiable integrity. This multi-chain capability positions SxT as a foundational layer for next-generation dApps that require reliable access to trusted historical and real-time data.
Powering AI and Smart Contracts with Trusted Data
One of the most exciting aspects of SxT is its dual applicability to both AI and blockchain. Large language models often suffer from hallucinations or outdated knowledge because they train on unverified datasets. With SxT, AI systems can query databases whose results are cryptographically proven — ensuring accuracy and traceability.
Similarly, smart contracts can now trigger actions based on offchain analytics with confidence. Imagine a DeFi protocol that adjusts interest rates based on verifiably accurate market sentiment analysis, or a gaming platform that rewards players using provably fair leaderboards computed offchain.
This fusion of verifiable compute, AI, and decentralized finance opens new frontiers for innovation — all built on a foundation of trustless verification.
👉 See how AI and blockchain converge through verifiable data layers
Core Keywords Driving the Future
The key concepts underpinning Space and Time’s technology are not only technically significant but also highly aligned with emerging search trends and developer interests:
- Verifiable compute
- Zero-knowledge proofs
- Proof of SQL
- AI and blockchain integration
- Enterprise blockchain solutions
- Scalable data verification
- Smart contract data integrity
- Decentralized data warehousing
These keywords naturally emerge throughout SxT’s architecture and use cases, reflecting both technical depth and market relevance.
Frequently Asked Questions (FAQ)
What is verifiable compute?
Verifiable compute refers to the ability to perform computations offchain and generate cryptographic proofs that the results are accurate. These proofs can be efficiently verified onchain, ensuring trust without requiring every node to re-execute the computation.
How does Space and Time use zero-knowledge proofs?
SxT employs a purpose-built ZK circuit optimized for database operations, particularly SQL queries. When a query is executed, the system generates a zero-knowledge proof confirming the computation was done correctly — enabling trustless data sharing between offchain systems and onchain smart contracts.
Can SxT work with existing blockchains?
Yes. SxT is chain-agnostic and currently supports indexing and verification across major networks including Ethereum, Bitcoin, Polygon, ZKSync, Sui, Aptos, and Sei. This allows developers to build cross-chain applications with consistent data integrity.
Is Proof of SQL available for enterprise use?
Absolutely. The Proof of SQL stack is already in beta and being used by enterprises to power analytics, compliance reporting, and AI training pipelines. Its combination of ZK proofs, AI integration, and data warehousing makes it ideal for high-assurance environments.
How does SxT benefit AI applications?
By providing cryptographically verified data sources, SxT reduces hallucinations in LLMs and improves model reliability. AI systems can query trusted databases and receive responses backed by proof — enhancing accuracy in decision-making processes.
What makes SxT different from other oracle solutions?
Unlike traditional oracles that act as data feeds, SxT verifies the computation itself. It doesn’t just deliver data — it proves that complex queries were executed correctly, offering a higher level of assurance for mission-critical applications.
👉 Explore the future of trusted computation for AI and blockchain
Looking Ahead
Our investment in Space and Time reflects a broader vision: a world where data integrity is non-negotiable, whether you're running a DeFi protocol or training a billion-parameter AI model. With its proven performance, innovative ZK architecture, and real-world adoption, SxT is well-positioned to become the standard for verifiable compute in the decentralized age.
As AI continues to evolve alongside blockchain technology, platforms like SxT will serve as critical infrastructure — ensuring that speed doesn’t come at the cost of trust.
The future of computing isn’t just fast or smart — it’s verifiable.