Expert.ai Recognized as a Sample Vendor in the 2026 Gartner® Hype Cycle™ for AI in Finance

According to Expert.ai, Composite AI can help financial institutions address complex, highly regulated business challenges by combining complementary AI technologies to deliver trusted, governed and context-aware solutions.

Expert.ai today announced that it has been named as a Sample Vendor in the Composite AI segment of the Gartner® Hype Cycle™ for AI in Finance*. According to Gartner, “Composite AI, also known as hybrid AI (and neurosymbolic AI), refers to the combined application (or fusion) of different AI techniques to improve the efficiency of learning and broaden the scope of knowledge representation. It broadens AI abstraction mechanisms and, ultimately, provides a platform to solve a wider range of business problems effectively.”

For Expert.ai, the recognition of Composite AI as an Innovation Trigger in the 2026 Gartner® Hype Cycle™ for AI in Finance highlights a shift toward AI approaches that combine the right technologies for the right business challenge. This is particularly relevant for banks and financial institutions, where complex, highly regulated processes require not only trusted and governed AI but also the flexibility to apply different AI techniques to achieve the most effective and context-aware outcome.

According to Gartner, “Combining AI techniques is much more effective than relying only on heuristics or a crudely “data-driven” approach. A rule- and logic-based technique can be combined with a deep learning model. Rules coming from human experts, or the application of physical/engineering model analysis, may specify that certain sensor readings indicate inefficient asset operations.”

As a pioneer in Composite AI, Expert.ai leverages the strengths of multiple technologies to address complex enterprise challenges that cannot be effectively solved by a unique or a single AI technique. At the core of its approach is a neurosymbolic architecture that combines natural language understanding with deterministic execution, powered by knowledge graphs and semantic understanding.

This approach transforms complex business processes into governed, intelligent automations that preserve business context. Rather than relying solely on Generative AI and probabilistic reasoning to improvise across critical workflows, Expert.ai enables organizations to execute processes predictably, without hallucinations, and under full governance. Every step is traceable and auditable, providing the control, transparency, and reliability required for enterprise operations.

Learn more about Expert.ai’s combination of technology, domain expertise and use-case specialization is designed to help organizations apply AI to complex, knowledge-intensive processes while maintaining the transparency, control and contextual understanding required for enterprise adoption. Contact us today to schedule a demo.

Gartner Report, Hype Cycle for AI in Finance, 2026, By Ash Mehta, Alex Levine, July 2026.

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