OpenAI acquires Rockset to strengthen its enterprise AI capabilities

OpenAI has acquired Rockset, a company that specializes in real-time search and data analytics tools.

In a statement on its official blog, OpenAI announced the integration of Rockset's technology into its infrastructure to enhance its products. Members of Rockset's team will join OpenAI, and Rockset's current customers will be gradually transitioned off the platform.

The financial details of the acquisition were not disclosed.

OpenAI COO Brad Lightcap commented, "Rockset's infrastructure enables companies to turn their data into actionable insights. We are thrilled to bring these benefits to our customers by incorporating Rockset's foundation into OpenAI products."

Founded in 2016 by ex-Facebook engineers and a database architect, Rockset's tools automate data ingestion from databases and cloud services to optimize search and analytics applications. The platform supported various applications including recommendation engines, dashboards, and chatbots in industries like fintech and ecommerce.

Rockset had raised over $117.5 million from investors like Icon Ventures, Sequoia, and Greylock before the acquisition. It counted Meta and JetBlue among its customers, with JetBlue using Rockset for its flight delay predictions chatbot.

With the acquisition, OpenAI aims to enhance its products by utilizing Rockset's technology to improve data leveraging and access to real-time information. The integration is expected to address challenging database issues at scale for AI applications.

OpenAI's recent focus on enterprise sales and technology organizations has led to initiatives like partnering with PwC for tool reselling and launching custom model tuning services for businesses. This strategic direction has reportedly boosted OpenAI's projected annual revenue to over $3.4 billion and expanded its enterprise user base significantly.

Rockset is OpenAI's second public acquisition following Global Illumination, a startup focused on AI-driven creative tools and infrastructure.