Scott Dykstra is a technology executive and entrepreneur best known as the co‑founder and Chief Technology Officer (CTO) of Space and Time, a multichain data and compute platform positioned as a verifiable compute layer for applications spanning artificial intelligence and blockchain. ^{[1] [2]}

Education

Dykstra studied computer science at Cedarville University, where he earned a Bachelor of Science degree. He later attended the University of California, Berkeley, completing a Master of Science degree in data science. ^[3]

Career

Dykstra worked in data engineering, cloud computing, and analytics roles before entering the blockchain sector. Between 2013 and 2015, he was a partner at Tradelytics, where he worked on automated trading systems and predictive analytics tools focused on financial markets and machine learning.

In 2014, he joined Teradata, holding several engineering and leadership positions over an eight-year period. His work included developing cloud-based analytics architectures, large-scale data processing systems, and enterprise analytics solutions across platforms such as AWS, Azure, and Google Cloud. He later became vice president of global cloud operations, focusing on analytics infrastructure and cloud strategy for enterprise clients.

In 2022, Dykstra co-founded Space and Time and became its chief technology officer. The project focuses on blockchain-based data infrastructure and cryptographic verification systems for SQL databases and query processing. He has also served as a strategic advisor to the data security company Sotero. ^{[3] [2] [1]}

Media Appearances

Interview: Bringing Trust to On‑Chain and Off‑Chain Data

In a January 2026 video interview, Dykstra discusses the motivation for linking traditional database systems with blockchain smart contracts, characterizing “Proof of SQL” as a way to provide cryptographic assurance on database answers. The conversation covers potential applications in banking and RWAs, trustless airdrops, and the prospective role of verifiable data flows in institutional adoption.