GlobalData, the intelligence provider, reflects on an important year of artificial intelligence (AI)-driven product development. Over the past 12 months, the company says that it has accelerated its transformation into an intelligence and productivity platform “that helps enterprises make confident decisions that drive growth.” GlobalData claims that it has a history of providing “verified intelligence to the world’s organizations.”
This year, that foundation was combined with advances in AI to empower internal teams and help customers “access insight, apply it more effectively, and act with greater confidence in uncertain environments.”
Jonathan Hardinges, Chief Strategy Officer at GlobalData said:
“Our focus this year was practical impact. Building on 10 years of foundational AI and platform investments, we’re now using AI to remove friction from how intelligence is discovered and used, so our clients can spend less time searching and more time making the decisions that matter.”
Throughout the year, GlobalData built and expanded “the use of AI internally to support teams across the business, from analysts to engineers, improving agility and capability across the technology stack.”
This included advancements to “internal AI tools, delivering measurable productivity gains, including the launch of a proprietary AI tool that has generated 36%-time savings in complex data sourcing.”
These developments are augmenting internal expertise, “enabling teams to produce high quality, verified intelligence at greater speed, with human validation maintained throughout.”
A major milestone was the release of AI Hub beta to clients.
AI Hub was designed as a single-entry point “to the platform’s extensive proprietary data and content. Using generative AI, it addresses a common challenge faced by enterprise teams: the volume of available intelligence can make it difficult to find the most relevant insight quickly.”
During the beta, customers reported “significant productivity gains, including faster research and broader access to intelligence across teams.”
AI Hub is now embedded across the customer base with “~90% of subscription contracts related to an AI Hub-enabled product and the number of active AI Hub users increasing by 3x year-on-year.”
Clients also say AI Hub’s use of GlobalData’s data and verified content is a major reason “they use the tool, especially compared to public AI tools.”
Following testing and refinement, AI Hub exited beta and was “integrated more deeply across the platform, including within platform search.”
GlobalData also introduced AI-enabled solutions, “designed to support enterprises’ critical decision-making workflows, such as sales, strategy, innovation.”
These solutions tailor the platform’s capabilities to “the specific needs of each team.”
This year, the company launched Sales Intelligence, “a data-driven, AI-powered, and expert-curated solution that supports and guides B2B sales activities and effectiveness in real-time.”
Clients are seeing “measurable gains” from Sales Intelligence.
Another development was the introduction of “agentic architecture and digital workers.”
Each new workflow solution includes a dedicated agentic digital worker that can carry out “complex tasks with minimal user input, including planning, research, and analysis.”
These digital workers are designed to “augment professional workflows, broaden access to insights, and operate as trusted extensions of customer teams.”
Sam, the AI Sales Analyst for the Sales Intelligence solution, “has entered trial use with select companies.”
Early feedback confirms it is “streamlining productivity, particularly by enabling teams to build detailed, data-rich account plans in a fraction of the usual time.”
The year concluded with an upgrade to AI Hub, “incorporating agentic architecture across the experience.”
New capabilities include the ability to “upload documents for context, improved collaboration features, and deeper reasoning abilities.”
The chatbot in AI Hub, known as Ava, has evolved into “an AI Research Analyst that can understand complex research questions, plan and execute multi-step workflows, and work with uploaded files for increased personalization.”
Following the agentic architecture upgrade, usage of AI Hub’s analyst-verified prompt cards, known as Templates, has “increased threefold.”
The AI advancements have transformed “how clients engage with the GlobalData platform, driving positive impact across customer engagement.”
Data shows that AI Hub users are “more engaged than non-users across all key usage metrics including login frequency, time on platform, pages viewed, and downloads.”
As GlobalData looks ahead, it remains focused on building the productivity and intelligence platform that “transforms uncertainty into opportunity, helping enterprises move forward with confidence.”
Sudeep Shouche, Product Innovation Director at GlobalData said:
“GlobalData’s product roadmap for 2026 builds on the foundational developments this year. We have a range of updates planned for next year, from improving our agentic capabilities, to introducing specialized AI-enabled products. These advancements are designed to transform how clients access and utilize the insights from the GlobalData platform.”