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How is Cotality Shaping AI Standards for Finance?

How is Cotality Shaping AI Standards for Finance?

The announcement highlights the company’s shift to an AI-first data organization, building on the launch of its AI-ready data architecture.

Global data, analytics, and business intelligence provider Cotality announced itself as one of the founding members of Snowflake’s Financial Services Working Group under the Open Semantic Interchange (OSI). The milestone was shared at the Snowflake Summit '26 conference on June 2, 2026.

As a key contributor, Cotality is setting the data standards needed to deliver AI-ready financial information, making it easier for different systems to work together and run AI workflows, the company said.

“Through our role as a founding member of the Financial Services Working Group of the OSI, Cotality is helping bring together disconnected financial and property data and transform it into a consistent, structured format that AI systems can rely on,” said Devi Mateti, president of Enterprise Digital Solutions at Cotality. She also said that the company is not only making data AI-ready, but also helping define the data standards needed for transparent, auditable, and automated decision-making in financial services.

The announcement highlights the company’s shift to an AI-first data organization, building on the launch of its AI-ready data architecture on March 31, 2026. The Snowflake collaboration expands Cotality's ability to provide data across cloud and AI platforms, supporting financial institutions as they develop and scale AI workflows. According to the company, the partnership also broadens access to standardized data for AI applications.

In the collaboration, Cotality says it will focus on key modernization areas for data leaders and Chief Data Officers, which include the reduction of semantic friction by ensuring that complex financial and property data integrate smoothly into cross-platform AI workflows.

It will also focus on the facilitation of next-gen AI agents by providing the precise, auditable semantic context required for AI agents to work autonomously, minimize hallucinations, and safely handle financial underwriting and risk assessment.

According to the company, the partnership serves as a validation of Cotality's establishment of open standards leadership by building the open data standards necessary for true ecosystem automation, differentiating it from other legacy data vendors who simply bundle AI features.

"Open Semantic Interchange (OSI) was designed to establish a common language for enterprise data cloud ecosystems, driving seamless cross-platform interoperability," said John Heisler, head of AI for Financial Services at Snowflake.

He also said that founding collaborators like Cotality bring deep, industry-specific expertise to the Financial Services Working Group, adding that their commitment to building standardized, agent-ready data frameworks is critical for companies looking to scale secure, trusted, and auditable AI automation.

Key Takeaways

  • Cotality joins Snowflake's Financial Services Working Group to set AI data standards.
  • Partnership aims to transform disconnected financial data into structured formats for AI systems.
  • Cotality shifts to an AI-first organization, enhancing its AI-ready data architecture.
  • Collaboration broadens access to standardized data for AI applications in financial institutions.
  • Cotality focuses on modernizing data workflows to support scalable AI solutions.