RAD-I and RAD-G Release ‘Inside SARA’ White Paper, Defining the Future of Agentic AI in Security

Detroit, Michigan, December 3, 2025 — Artificial Intelligence Technology Solutions, Inc. (the “Company”) (OTCID:AITX), a global leader in AI-driven security and productivity solutions, along with its wholly owned subsidiaries, Robotic Assistance Devices, Inc. (RAD-I) and Robotic Assistance Devices Group (RAD-G), today announced the release of the Inside SARA White Paper, a comprehensive technical disclosure that documents the architecture and development of SARA™, the Company’s multiple award-winning agentic AI platform for physical security and remote video monitoring. The publication details how SARA was created through proprietary datasets, a custom visual language model, multi agent decisioning, extensive field validation, and collaboration with the AWS Generative AI Innovation Center.
A Landmark Technical Disclosure Built with Assistance from the Amazon Web Services (AWS) Generative AI Innovation Center

Detroit, Michigan, December 3, 2025 — Artificial Intelligence Technology Solutions, Inc. (the “Company”) (OTCID:AITX), a global leader in AI-driven security and productivity solutions, along with its wholly owned subsidiaries, Robotic Assistance Devices, Inc. (RAD-I) and Robotic Assistance Devices Group (RAD-G), today announced the release of the Inside SARA White Paper, a comprehensive technical disclosure that documents the architecture and development of SARA™, the Company’s multiple award-winning agentic AI platform for physical security and remote video monitoring. The publication details how SARA was created through proprietary datasets, a custom visual language model, multi agent decisioning, extensive field validation, and collaboration with the AWS Generative AI Innovation Center.

The Company noted that this document represents the first public look at the depth and difficulty of building real agentic AI for security. The white paper outlines the two-year engineering effort behind SARA and clarifies how its architecture differs from generic AI tools and LLM wrappers that have recently entered the market. By presenting production ready design work, field tested performance, and AWS supported optimization, the release positions the Company as the clear first movers bringing agentic AI into live security operations and remote monitoring environments.

“SARA reflects one of the most ambitious development efforts our team has ever taken on,” said Steve Reinharz, CEO/CTO and founder of AITX and all RAD subsidiaries. “The depth of the architecture, the scale of the dataset creation pipeline, and the performance of our visual language model show what is possible when you commit fully to agentic AI. Our work was strengthened through assistance from the AWS Generative AI Innovation Center, whose guidance supported key optimization steps as we moved SARA toward real deployments. This white paper shows the industry what it takes to build intelligence that can perform in the field.”

SARA’s architecture was designed for real world operations across the RAD hardware ecosystem and for broader industry use through upcoming ONVIF integration and VMS support. The white paper outlines how SARA delivers context rich autonomous response, multi agent decisioning, and a security specific dataset pipeline that has been refined through extensive field deployments. These capabilities give SARA performance far beyond generic AI tools that rely on repurposed models, positioning RAD-I and RAD-G to accelerate adoption across enterprise security and remote monitoring environments.

The Company also noted that Steve Reinharz has been invited to participate in an AWS executive forum re:Invent on December 3 in Las Vegas. The event focuses on how software companies can innovate and scale in the era of agentic AI, aligning closely with the themes presented in the Inside SARA White Paper. AITX expects to share additional content related to its ongoing work supported by the AWS Generative AI Innovation Center as the Company advances SARA across broader industry applications.

The Company invites all interested parties to download the Inside SARA White Paper and review the full technical framework behind SARA.

CAUTIONARY DISCLOSURE ABOUT FORWARD-LOOKING STATEMENTS
The information contained in this publication does not constitute an offer to sell or solicit an offer to buy securities of Artificial Intelligence Technology Solutions, Inc. (the "Company"). This publication contains forward-looking statements, which are not guarantees of future performance and may involve subjective judgment and analysis. As such, there are no assurances whatsoever that the Company will meet its expectations with respect to its future revenues, sales volume, recurring monthly revenue growth, and operational cash flow positivity. The information provided herein is believed to be accurate and reliable, however the Company makes no representations or warranties, expressed or implied, as to its accuracy or completeness. The Company has no obligation to provide the recipient with additional updated information. No information in this publication should be interpreted as any indication whatsoever of the Company's future revenues, results of operations, or stock price.
For purposes of the Company's disclosures, "Artificial Intelligence" refers to machine-based systems designed to operate with varying levels of autonomy that, for a given set of human defined objectives, can make predictions, recommendations, or decisions influencing real or virtual environments. In the context of the Company's business, Artificial Intelligence is deployed primarily within the security services and property management industries to support functions such as detection, analysis, prioritization, communication, and response related to safety, security, and operational events.
The Company delivers these capabilities principally through its SARA™ (Speaking Autonomous Responsive Agent) platform, which serves as the Company's primary agentic artificial intelligence system. SARA is designed to receive and process video, audio, and other sensor data, apply automated analysis and inference, and support actions in accordance with predefined operational objectives and human oversight.
Further note that the Company's Board of Directors oversees the Company's deployment of Artificial Intelligence.

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