Space and Time launches Dreamspace no-code AI builder

Space and Time publicly launched Dreamspace on April 23, a no-code AI tool that generates and deploys on-chain applications and smart contracts. Users describe an app in plain text and the platform produces deployable smart contracts and frontend logic without manual coding.

The Dreamspace engine creates smart contract logic, user interface scaffolding and the on-chain calls needed to run the application. Each generated contract is published on-chain so creators can inspect the code and transactions. The system relies on Space and Time’s data layer, which the company built to secure and serve verifiable on-chain data for financial applications.

Dreamspace was developed with support from Microsoft’s M12 venture fund and uses Azure OpenAI services. Space and Time runs the platform on Base, Coinbase’s Ethereum-compatible layer-2 network. The company says Base provides sub-second transaction finality, transaction fees under $0.01 and full Ethereum Virtual Machine compatibility, enabling standard smart contracts and existing Ethereum tooling.

The product left beta after users created more than 34,000 apps. Several schools in Indonesia have set up AI labs using Dreamspace in a program that targets more than 140,000 students.

Space and Time received a $20 million investment led by M12 in 2022. The company’s broader technology is a data warehouse designed to deliver verifiable on-chain data to builders and enterprises; Dreamspace applies that infrastructure to automated app generation for creators without specialist blockchain skills.

Nate Holiday, co-founder of Space and Time, said, “Space and Time was built to make verifiable data accessible to any application, at any scale. Dreamspace is where that infrastructure meets the people building the next wave of the internet.” Eric Brown, head of AI developer relations at Base, called the platform a way to simplify starting an on-chain business by reducing technical barriers to deployment. Michael Stewart, managing partner at M12, noted Microsoft’s early investment helped shape the product’s emphasis on accessibility and commercial viability.