S&P Global and Cohere Forge AI Alliance for High-Trust Finance

NEW YORK, NY – June 08, 2026 – In a move that signals a new chapter for artificial intelligence in the financial sector, S&P Global announced today a strategic collaboration with Cohere, a leading provider of sovereign AI for regulated industries. The partnership will integrate S&P Global's vast repository of trusted financial data directly into Cohere's secure enterprise AI platform, North, aiming to redefine how financial institutions conduct research, analysis, and reporting.

This collaboration is designed to empower customers with what the industry desperately needs: AI-driven workflows grounded in verifiable, citation-backed intelligence. By combining S&P Global's data with a firm's own proprietary information within a secure environment, the initiative promises to accelerate decision-making while satisfying the stringent security and compliance demands of the financial world.

"We've done the work on the backend to make our data AI-ready, build the retrieval infrastructure, and partner with best-in-class AI providers, so that customers can simply put S&P Global to work in the platforms they already use," said Bhavesh Dayalji, Chief AI Officer of S&P Global and CEO of Kensho. "As agentic workflows become the norm, we deliver value by ensuring that customers can access our data seamlessly and accurately, wherever they work."

The sentiment was echoed by Cohere, which emphasized the partnership's focus on building a secure foundation for AI adoption. "By combining S&P Global's financial intelligence with Cohere's enterprise‑grade sovereign AI platform, we're giving financial institutions a secure foundation to build agentic workflows wherever their data lives that deliver measurable impact," said Frank O'Dowd, Chief Revenue & Commercial Officer of Cohere.

The Sovereignty Mandate: Building a Fortress for Financial AI

For financial institutions, the promise of AI has always been shadowed by the peril of data security breaches, regulatory missteps, and the 'hallucinations' of unreliable models. The S&P Global-Cohere collaboration tackles this trust deficit head-on by championing the concept of "sovereign AI." This approach ensures that an organization's entire AI intelligence supply chain—from data and models to hardware—remains within its own controlled, auditable jurisdiction.

Cohere's North platform is the technological lynchpin for this strategy. Designed with a security-first ethos, it can be deployed on-premise, in a virtual private cloud (VPC), or even in fully air-gapped environments. This flexibility is non-negotiable for institutions that cannot allow sensitive client information or proprietary data to traverse the public internet. By enabling firms to run sensitive workloads within their own firewalls, the platform addresses core regulatory requirements around data residency and privacy, which are becoming increasingly strict with mandates like the EU AI Act set to become fully applicable later this year.

Adherence to standards like GDPR, SOC 2, and ISO 27001 further bolsters its credentials as a fortress for financial data. The platform isn't just a secure container; it's an integrated workspace that provides granular access controls and complete system observability, giving compliance and risk officers the audit trails they need to sleep at night.

Beyond the Data Feed: S&P Global's 'AI-Ready' Ecosystem

This partnership is more than a simple data-sharing agreement; it represents a cornerstone of S&P Global's broader strategy for the AI era. Rather than attempting to lock customers into a proprietary, end-to-end AI system, the data giant is pursuing a more open, platform-agnostic approach. The goal is to make its essential intelligence a foundational layer for the entire AI ecosystem, accessible wherever its customers choose to work.

Executing this vision falls to Kensho, S&P Global's in-house AI innovation hub. For years, Kensho has been working to make S&P Global's vast datasets "AI-ready." This involves far more than just digitizing information; it means structuring complex financial data, from earnings call transcripts to S&P Capital IQ Financials, so it can be easily queried and understood by large language models. Kensho has built the foundational data retrieval layer that allows AI models to access this intelligence at scale, seamlessly and accurately.

This backend investment enables customers to bypass the friction of building custom data pipelines. With tools like the Kensho LLM-ready API, which allows for natural language queries, financial professionals can integrate S&P Global data directly into their models and applications, transforming how they create everything from pitch books to market analysis reports.

Unleashing the Financial AI Agent

The most transformative aspect of this collaboration may be its focus on enabling "agentic workflows." These are not simple chatbots but sophisticated AI agents capable of executing complex, multi-step tasks autonomously. Within the secure confines of the North platform, an AI agent could be tasked with drafting a preliminary credit memo. It would query S&P Global for a company's financial statements, cross-reference it with internal risk models, analyze recent market trends, and synthesize the findings into a structured report, complete with citations for every data point.

This level of automation promises dramatic productivity gains. Research has shown that automating regulated tasks can improve efficiency by 20% to 30%. For investment bankers, equity analysts, and portfolio managers, this means less time spent on laborious data gathering and more time dedicated to high-level strategy and client relationships. Potential use cases are extensive:

• Enhanced Due Diligence: Rapidly vetting investment targets by combining S&P Global's deep data with a firm's internal checklists.
• Automated Compliance Monitoring: Continuously scanning transactions and communications against regulatory databases to flag potential issues in real-time.
• Dynamic Risk Assessment: Running complex stress tests and scenario analyses using verifiable, up-to-the-minute market and company data.

A Strategic Play in a Crowded AI Arena

The S&P Global-Cohere partnership enters a fiercely competitive market. Incumbents like Bloomberg Terminal and Refinitiv are aggressively integrating AI into their established platforms, while tech giants like Microsoft and Google are pushing their own enterprise AI solutions. However, this collaboration carves out a distinct and defensible niche.

By doubling down on verifiable data, on-premise security, and data sovereignty, the two companies are targeting the segment of the market with the highest need for trust and the least tolerance for error: regulated financial institutions. Cohere's strong market momentum, evidenced by a reported $100 million in annualized revenue as of last year and its recent transatlantic merger with German AI firm Aleph Alpha, demonstrates a clear demand for its enterprise-focused, high-security approach. The merger, creating a powerhouse valued at approximately $20 billion, reinforces its commitment to providing a sovereign alternative to U.S. and Chinese AI giants.

Ultimately, this collaboration is a calculated move to pair best-in-class, verifiable data with a best-in-class, secure AI platform. It’s a direct response to a market that is simultaneously eager for AI-driven efficiency and deeply cautious about its inherent risks, providing a high-trust pathway for financial institutions to confidently step into the future of work.