Snowflake Ventures and AT&T Ventures announced a $22.5 million investment in RelationalAI, a startup that builds GenAI‑native decision‑intelligence systems on relational knowledge graphs. The funding is intended to accelerate RelationalAI’s product development and deepen its integration with Snowflake’s AI‑Data Cloud, allowing customers to run AI‑driven decision models directly on Snowflake without moving data.
RelationalAI raised $75 million in a Series B round in April 2022, and the new capital will help the company scale its platform and expand its customer base. The investment follows Snowflake’s broader strategy of building an AI ecosystem through its Native App Framework, which enables third‑party applications to run natively within customer accounts while preserving data security and governance.
The partnership gives Snowflake a foothold in the emerging “decision intelligence” market, where enterprises seek AI solutions that can not only generate insights but also execute decisions in real time. By embedding RelationalAI’s reasoning engine into Snowflake Intelligence, Snowflake can offer customers a seamless, data‑native experience that eliminates the need for data movement and reduces latency for critical business decisions.
AT&T Ventures’ participation reflects the telecom’s focus on generative AI and connectivity. The investment aligns with AT&T’s strategy of backing companies that drive innovation in AI, IoT, and edge computing, positioning AT&T to benefit from the growing demand for AI‑enabled data services across its network.
Christian Kleinerman, EVP of Product at Snowflake, said, “RelationalAI is pioneering decision intelligence for the enterprise and is one of our leading AI Native Applications on Snowflake. Our partnership reflects strong go‑to‑market alignment and shared focus on continuing to drive customer adoption.” Molham Aref, founder and CEO of RelationalAI, added, “We’re on the path to achieving reliable enterprise decision making at viable price points. Our AI technology integrates inference‑time compute with reasoning applied to private enterprise data and semantics during the LLM training process, leading to recursive self‑improvement in capabilities of LLMs.”
Market reaction to the announcement was mixed. Snowflake’s shares slipped on the day, but analysts noted that the investment was viewed as a positive signal for the company’s AI platform and potential revenue upside. The deal reinforces Snowflake’s position as a leading platform for data and AI, and it is expected to accelerate the adoption of its AI‑native application portfolio.
The investment expands Snowflake’s AI‑native application portfolio and strengthens its multi‑cloud data sharing network. By enabling AI‑driven decision models to run directly on the Snowflake AI Data Cloud, the partnership is poised to unlock new revenue streams and deepen customer engagement, positioning Snowflake to capture a larger share of the growing AI‑native market.
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