RelationalAI has secured a $22.5 million investment from Snowflake Ventures and AT&T Ventures to accelerate development of its GenAI-native decision intelligence platform and deepen integration with Snowflake Intelligence. The funding also supports delivery to Snowflake’s enterprise customer base, including AT&T.
“RelationalAI is pioneering decision intelligence for the enterprise and is one of our leading AI Native Applications on Snowflake,” said Christian Kleinerman, EVP of Product, Snowflake. “Together, we empower enterprises to make smarter, faster, and more secure decisions natively on the Snowflake AI Data Cloud, without requiring any data movement.”
Closing the Gap Between GenAI and Enterprise Decisions
While large language models have revolutionized AI, they often lack visibility into the unique data, policies, and workflows of individual enterprises. RelationalAI addresses this with custom LLM training on private customer data, enabling agents to optimize and automate real-world decision-making.
“Our technology combines inference-time compute with reasoning applied to enterprise-specific data, enabling recursive self-improvement in LLM capabilities,” said Molham Aref, Founder and CEO of RelationalAI. “Decision intelligence represents a new frontier for combining LLMs with complex reasoning.”
Key Platform Features
- Enterprise LLM Training: Recursive self-improvement and domain-specific intelligence.
- 80x Algorithmic Efficiency: Proprietary breakthroughs compress training time and cost by 80x through agentic multi-step reasoning, Relational Knowledge Graphs, and neuro-symbolic compute.
- Enterprise-Grade Data Cloud Integration: Runs natively inside the enterprise data cloud to maintain full control, compliance, and security, eliminating data duplication.
Real-World Impact with AT&T
AT&T has already collaborated with RelationalAI on AI solutions, topping Generative AI leaderboards Spider 2.0 and GSMA Open Telco LLM. The investment aims to expand deployment across AT&T, providing AI-powered insights grounded in internal data for employees, vendors, and customers.
“We’re leveraging enterprise-grade AI to unlock efficiency and entirely new ways of running our business,” said Andy Markus, Chief Data Officer, AT&T.
By combining specialized LLMs, agentic reasoning, and secure cloud integration, RelationalAI is positioning itself at the forefront of enterprise decision intelligence, enabling organizations to deploy AI with confidence and measurable ROI.
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