PostgresML, a startup that specializes in creating serverless AI application databases based on Postgres, has raised $4.7 million in seed funding. The funding round was led by Amplify Partners, with participation from Max Mullen and Brandon Leonardo (Co-founders of Instacart), Jack Altman (Co-founder of Lattice), Rafael Corrales (Founding Investor at Vercel), Greg Rosen (Box Group), Jeremy Stanley (Co-founder of Anomalo) and James Yu (Co-founder of Parse).
PostgresML aims to provide a solution for companies that want to integrate AI into their applications but lack the resources to build and maintain their own AI infrastructure. The startup’s platform allows developers to build and deploy AI models directly within their Postgres databases, eliminating the need for separate AI infrastructure. The platform is designed to be easy to use, with a simple interface that allows developers to create and manage AI models without needing specialized AI knowledge. The platform also includes a range of pre-built AI models that can be easily integrated into applications. PostgresML’s serverless approach means that companies only pay for the resources they use, rather than having to maintain a dedicated AI infrastructure. This can significantly reduce costs for companies that want to integrate AI into their applications but lack the resources to build and maintain their own infrastructure.
The startup’s platform is built on top of Postgres, an open-source relational database management system that is widely used in enterprise applications. This means that companies can easily integrate PostgresML’s platform into their existing applications without needing to make significant changes to their infrastructure. PostgresML’s platform also includes a range of security features, including encryption and access controls, to ensure that data is protected at all times. This is particularly important for companies that are handling sensitive data, such as healthcare or financial data.
The funding round will be used to further develop PostgresML’s platform and expand its team. The startup plans to hire additional engineers and data scientists to help build out its platform and develop new AI models. Its serverless approach and integration with Postgres make it easy to use and integrate into existing applications, while its security features ensure that data is protected at all times.
