YOUNEEQAI TECHNICAL SERVICES, INC.

Evolving AI regulations may require product changes and increase costs for agentic AI systems.

“Use, marketing and export of AI systems are subject to an evolving regulatory framework that includes the EU Artificial Intelligence Act (which applies on a phased basis through 2027), U.S. federal AI policy guidance and a growing patchwork of U.S. state AI laws. These regimes are new and continue to expand. Compliance with new AI regulation may require changes to our products, our development practices, our marketing or our customer agreements, and could increase our operating costs or restrict our ability to offer certain features in certain jurisdictions. The application of these regimes to agentic AI systems that take or recommend autonomous actions is particularly unsettled and remains subject to development through regulatory guidance, enforcement and litigation.”

Company licenses and commercializes AgEYE agentic AI agricultural platform as Intelligent Crop Systems.

“The AgEYE License commits the Company to commercializing an agentic, AI-enabled agricultural software platform to monitor, predict, recommend and automate the operational variables that drive yield, cost and unit economics across agricultural production. The platform is designed to be application-agnostic — capable of supporting growing operations across controlled environments, commercial greenhouses, open-field row crops and adjacent agricultural and biological-production use cases, in each case subject to the integration, data, model and engineering work required for a particular operating environment. We license the underlying platform on a long-term basis from AgEYE Technologies, Inc. (“AgEYE”) pursuant to a Software License Agreement dated January 14, 2026 (the “AgEYE License”). We commercialize the platform through software deployments we market as “Intelligent Crop Systems.””

Company defines agentic AI as systems that perceive, predict, recommend, act and learn.

“We use the term “agentic AI” to describe AI systems that perceive their operating environment, analyze and predict outcomes, generate decision-grade recommendations and — where appropriate — execute or assist in executing actions, while continuing to learn from observed results. Applied to commercial agriculture, this enables a closed-loop system across the principal variables that drive plant biology and facility or field economics. The licensed AgEYE platform implements this loop across four integrated layers:”