SuperDuperDB's framework brings AI models directly to the database being used by the enterprise, rather than the other way around. This allows developers to set up a single scalable deployment of all their AI models and APIs, which directly communicates with the database. The product supports a wide range of databases and models, and the company is planning to expand its ecosystem and integrate seamlessly with enterprise data platforms like Databricks and Snowflake.
Key takeaways:
- San Francisco-based SuperDuperDB has released version 0.1 of its open-source framework that simplifies the building and deployment of AI apps.
- The framework, which is available as a Python package, allows users to integrate AI and vector search capabilities with existing databases and build AI applications directly on top of them.
- SuperDuperDB has received $1.75 million in early funding from Hetz.vc, Session.vc and the venture capital arm of MongoDB.
- SuperDuperDB's framework supports popular AI models and databases, and allows developers to work directly with images, video, audio in the database, and any type of data that can be encoded as bytes in Python.