Kensho is the AI innovation arm of S&P Global, founded in 2013 by Daniel Nadler and acquired by S&P Global in 2018. Based in Cambridge, Massachusetts, with a presence in New York, Kensho builds AI infrastructure and machine learning capabilities that connect AI systems to trusted financial and business data, positioning itself as an engine for AI innovation within one of the largest financial information companies.
Kensho's offerings are organized around an LLM-ready API that connects language models and AI agents to S&P Global data, a set of core AI capabilities for structuring and enriching business data, and an ongoing research and development function exploring emerging techniques. Its work spans areas such as transcription, entity linking, and data extraction, with the aim of making complex financial information reliably usable by AI systems.
The primary audience is the finance industry and research community, including S&P Global's own products and external organizations that need grounded, trustworthy data retrieval for AI workflows. The emphasis on connecting models to authoritative data reflects the high accuracy and traceability requirements of financial use cases.
Because Kensho operates within S&P Global, its strategy is closely aligned with serving the parent company's data ecosystem and partners, which provides a strong data moat but also a more enterprise- and finance-centric focus than independent AI vendors.
Kensho is best understood as a specialized, finance-focused AI infrastructure provider with deep ties to authoritative market data. It is most relevant for financial institutions and research organizations rather than general-purpose AI consumers.