Highlights:

  • With this latest integration, the startup unveils “Houston,” its chatbot with generative AI that can respond to inquiries regarding data from any source.
  • The decentralized data warehouse from Space and Time is now in a beta testing phase and can be installed on any distributed network or a private intranet.

Space and Time Labs Inc., a decentralized data warehouse startup, integrates chatbot technology powered by OpenAI LP to help data engineers, analysts, and developers raise concerns about the data and create dashboards with the help of natural language inputs.

A decentralized and hybrid data warehouse developed by Space and Time allows scalable analytics in a single cluster and transactional queries on any blockchain with minimal latency. Each query in Space and Time is independently verified using the business term “proof of SQL,” a cutting-edge zero-knowledge proof method that demonstrates each query’s accuracy and tamper-proof status cryptographically.

The company is supposed to handle smart contracts, computer-coded agreements that automatically carry out when specific requirements are met. Data analysis traditionally requires familiarity with Structured Query Language, which manages and queries the data stored in relational databases, as Space and Time explains.

Due to this requirement, users must have advanced technical knowledge to create a data pipeline that channels information from numerous sources into a database. Moreover, this overall process takes time.

Due to Space and Time Labs’ latest integration, SQL knowledge is no longer necessary, which enables any business user to build data pipelines and dashboards and conduct informational queries using simple natural language prompts. The startup unveils “Houston,” its chatbot with generative AI that can respond to inquiries regarding data from any source. According to the business, Houston instantly converts queries into SQL, and the results may then be promptly broadcasted to a dashboard, API, or AI model.

Scott Dykstra, Co-founder and CTO of Space and Time Labs Inc., believes AI-powered SQL will revolutionize the market for smaller companies with lean analytics teams since it can speed up the time-to-value for numerous crucial jobs.

“Space and Time users can generate SQL or Python scripts from prompts, ask natural-language questions about data and get back an accurate visualization of the answer, and load in new datasets all by simply conversing with our chatbot. Whether the focus is indexed blockchain data or off-chain data from your business, discovering, querying, and building on that data is just a few prompts away,” he added.

The decentralized data warehouse from Space and Time is now in a beta testing phase. According to the business, it can be installed on any distributed network or a private intranet. All sensitive data is encrypted in-transit, in-database, and in-use.