Expert.ai Named a Sample Vendor in Gartner® Hype Cycle™ for Artificial Intelligence, 2026 for Composite AI
Expert.ai sees the mention as confirmation that no single AI technique can carry mission-critical, regulated workflows alone. Precision, explainability, value creation and cost efficiency all have to work together.
Expert.ai, a leading provider of enterprise AI solutions for business value creation, today announced that it has been named as a Sample Vendor in the Composite AI segment of the Gartner Hype Cycle for Artificial Intelligence, 2026*.
According to Gartner, “Composite AI recognizes that no single AI technique is a panacea. It combines ‘connectionist’ AI approaches, such as machine learning (ML) and deep learning, with ‘symbolic’ and other AI approaches, such as rule- and logic-based reasoning as well as graph or optimization techniques. The goal is to enable AI solutions to generalize and learn, embodying more abstraction mechanisms. Composite AI is at the center of the generative AI (GenAI), decision intelligence (DI) platforms, and agentic AI markets.”*
Expert.ai has been advancing this approach in practice for years. Expert.ai’s Composite AI is already widely deployed in production across major industries, including banking and financial services, insurance, life sciences, public sector, and manufacturing. By combining generative and machine learning capabilities with symbolic AI, knowledge graphs, rules and domain-specific reasoning, Expert.ai helps organizations address complex business challenges where accuracy and explainability are critical. Customers are using these capabilities at scale to automate knowledge-intensive processes, accelerate decision-making and augment human expertise, demonstrating that Composite AI is not simply and emerging idea to watch, but the standard mission-critical AI in regulated industries is already being built on.
“No single AI technique, on its own, is enough to run a mission-critical process in a regulated industry,” said Umberto Pardi, Chief Revenue Officer at Expert.ai. “Precision and explainability aren’t optional in banking, insurance or life sciences, they’re the price of entry. That’s why we combine symbolic reasoning, semantic intelligence and language models into one architecture, instead of betting everything on any single approach. It’s how we deliver the trust regulators demand and the cost efficiency our customers need at scale.”
Composite AI: A Governed Approach to Enterprise AI
As generative and agentic AI continue to evolve, Composite AI provides a foundation for combining complementary AI techniques to address increasingly sophisticated reasoning, decision-making and business processes. Expert.ai brings this approach to enterprise AI through its semantic control and neurosymbolic AI Mesh architecture, which orchestrates knowledge graphs, deterministic linguistics, business rules and language models according to the specific requirements of each task. Rather than relying on large language models as a universal engine, the AI Mesh determines where symbolic reasoning, domain knowledge, rules or generative AI can deliver the greatest value. Symbolic capabilities can classify content, resolve entities, apply business policies and retrieve relevant evidence, while language models are used selectively when generation or more advanced language understanding is required. By combining these capabilities and applying semantic controls throughout the process, Expert.ai enables AI-driven automation that is more controlled, explainable, traceable and efficient, while reducing unnecessary reliance on large language models and helping enterprises manage the cost and complexity of deploying AI at scale.
*Gartner, Hype Cycle for Artificial Intelligence, 2026 by Haritha Khandabattu, Birgi Tamersoy, Soyeb Barot, 28 August 2026
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