S&P Global has opted for a multimodel AI approach to boost efficiency.
The strategy is comparable to a multicloud approach, Gia Winters, managing director of North America at Google Cloud, told FinAI News.
The financial services company teamed up with Google Cloud in December 2025 to use the tech provider’s Vertex AI platform, allowing S&P to access Google Gemini and other third-party and open-source models, Winters said.

Google’s data and AI Cloud, including Gemini Enterprise and Vertex AI is used by S&P to provide clients with customized tools, including help generating reports on equities, performing data analysis and conducting market research, Winters said.
Vertex AI uses open, secure data-sharing standards and robust APIs, Winters said.
“The agreement [with Google Cloud] further expands S&P Global’s ability to develop and deliver innovative solutions and essential intelligence through agentic AI for our customers, while also empowering our workforce with agentic AI capabilities,” an S&P Global spokesperson told FinAI News.
In addition to Google Cloud, S&P’s AI partnerships include:
- AWS;
- Microsoft;
- Anthropic; and
- IBM watsonx Orchestrate.
These AI providers allow S&P to innovate and integrate with client ecosystems, the spokesperson said, adding that S&P plans to provide gen AI tools to clients.
Internal multimodel approach
While S&P is enabling customers to use gen AI more effectively, it also deployed gen AI within operations with the 2024 launch of Kensho Spark Assist, an internal gen AI tool that helps employees with code generation, marketing and data analysis, the spokesperson said. The tool can boost productivity by up to 60%, depending on the task, according to FinAi News’ prior reporting.
“Spark Assist features a library where all S&P Global employees can publish their AI prompts, create agents and flows to codify and share their expertise with their colleagues,” the spokesperson said. “The platform uses internal data, APIs and is tailored to the business needs of S&P Global.”
Spark Assist is model-agnostic and uses the latest frontier models available to provide options to drive efficiency, the spokesperson said.
FIs including NatWest, BNY, JPMorgan, BBVA and Nasdaq also employ multimodel AI approaches.
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