S&P Global has revealed that it is joining forces with Cohere, a top sovereign AI company that supports governments and highly regulated sectors, to bring its validated financial data to Cohere’s secure enterprise AI platform, North. This partnership aims to provide companies with easy access to accurate, citation-supported financial information within AI-driven workflows, leading to quicker research, enhanced decision-making, and higher trust in outputs generated by AI.
Mixing S&P Global’s rich financial information with Cohere’s robust AI for enterprises opens a new world for organizations where they can utilize certified intelligence in closed environments to support complex AI and agentic workflows. Also, this integration is a great asset for financial institutions and regulated sectors that put a very high premium on data security, compliance, and transparency.
Due to the partnership, users are able to perform confidential tasks directly within North by utilizing Cohere’s state-of-the-art AI models. Besides, enterprises will be permitted to amalgamate S&P Global’s reliable market insight with their own exclusive enterprise data for generating highly precise answers to complex business queries, all within a protected setting.
This project is in line with S&P Global’s overall plan to spread its intelligence through the AI platforms that customers are already using. By providing its data in leading AI ecosystems, the firm intends to assist organizations in ramping up their productivity and getting more value from both their data and AI investments.
“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.”
Also Read: Airwallex Expands Financial Lifecycle Capabilities With Leapfin Acquisition
The integration enables businesses to access verified financial information without the complexity of building custom data pipelines or managing extensive data preparation processes. Built-in source citations further enhance transparency and trust, ensuring users can validate information and make informed decisions based on authoritative data sources.
For Cohere, the collaboration strengthens its mission of delivering secure, enterprise-ready AI solutions that support mission-critical operations in highly regulated environments. By integrating S&P Global’s trusted intelligence, Cohere’s customers gain access to deeper financial insights while maintaining control over sensitive data and workloads.
“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. “Regulated industries need AI they can trust with their most sensitive workloads, and they want it deeply connected to the proprietary data that drives their business. This collaboration marks a major step forward in how the global financial ecosystem puts high-trust AI to work.”
As the use of AI keeps growing in the financial sector and other regulated industries, companies are looking for AI solutions that are backed with reliable data, secure infrastructure, and strong governance capabilities. In this way, the partnership S&P Global and Cohere is responding to these demands by granting uninterrupted access to top-notch financial information within secure AI settings, thereby assisting businesses in creating AI workflows that are dependable, transparent, and efficient.
The collaboration is yet another proof of S&P Global’s dedication to opening up access to its data through that AI tools and platforms which customers are comfortable using. At the same time, it is ensuring that trusted intelligence is not lost in the AI-driven business processes of the future.
