FTSE 100 today: closes higher as UK inflation surprises; GBP lower, Ithaca report
NEW YORK - S&P Global (NYSE: SPGI) has announced the acquisition of TeraHelix, a financial technology company specializing in data structuring for enterprise-scale interoperability. The acquisition, which was finalized on June 6, 2025, aims to bolster S&P Global’s data and artificial intelligence capabilities by integrating TeraHelix’s advanced data modeling frameworks, enhancing the company’s customer AI offerings.
TeraHelix’s technology is designed to streamline the integration of datasets across various classes and platforms, facilitating smoother data interoperability and providing users with expanded access and connectivity. This move is expected to improve the efficiency of complex data workflows and provide greater value to S&P Global’s customers at scale.
The partnership between S&P Global and TeraHelix dates back to 2021 and has already yielded Gearbox, a large language model-powered data linking and matching tool that leverages Kensho Link to disambiguate entity names. Saugata Saha, Chief Enterprise Data Officer of S&P Global and President of S&P Global Market Intelligence, highlighted the success of Gearbox as a testament to the strength of the collaboration.
With this acquisition, S&P Global’s Enterprise Data Organization, the central data and technology arm of the company, will gain new capabilities to support customers’ AI and generative AI initiatives. This includes more sophisticated methods for structuring enterprise data models that operate effectively within diverse technology environments.
The financial details of the transaction were not disclosed, and the acquisition is reported to be non-material to S&P Global’s financials. The company’s statement on the acquisition also included forward-looking remarks, which are subject to inherent risks and uncertainties that could impact future results.
The integration of TeraHelix into S&P Global’s offerings reflects the company’s commitment to providing integrated data solutions and supporting the AI-driven needs of its customers. This strategic move is based on a press release statement from S&P Global.
In other recent news, the UK construction sector has been experiencing significant workforce reductions, marking the fastest rate of staff cuts in nearly five years. This trend is attributed to rising wage costs and decreased demand, as revealed by data released recently. Despite these challenges, the S&P Global Purchasing Managers’ Index (PMI) for the construction sector rose to 47.9 in May from 46.6 in April, surpassing economists’ expectations. In contrast, the UK services sector showed modest growth in May, rebounding from a contraction in April. The PMI for this sector increased to 50.9, indicating growth, and exceeded earlier estimates. Meanwhile, Russia’s services sector saw its fastest growth since January, driven by increased demand and new orders, with the PMI climbing to 52.2. Despite this growth, firms in Russia’s services sector have reduced their workforce numbers. Additionally, Greece’s manufacturing sector maintained its growth in May, with a PMI of 53.2, supported by a rise in new orders and accelerated output, despite weak export demand.
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