Managing diverse data across organizations is a complex and costly challenge, as noted by Groce III, a former CIO at Wells Fargo. Recent advancements in multimodal AI search, particularly for security-minded industries, have revolutionized access to previously inaccessible data forms. Embed 4 exemplifies this progress by optimizing domain-specific data understanding across sectors like finance, healthcare, and manufacturing, allowing it to comprehend specialized documents such as bank due diligence files or clinical trial reports. This solution is scalable for large organizations, reduces storage costs by up to 83% while maintaining search accuracy, and can be deployed in secure environments like virtual private clouds or on-premises setups. Embed 4's capabilities are particularly suited for regulated industries with strict data security needs. Furthermore, innovative AI search solutions are transforming business operations by enabling agentic AI applications, such as secure AI workplaces like North, which allow knowledge workers to perform comprehensive research across diverse data sources in any language, providing in-depth answers swiftly. The development of agentic search, where AI agents conduct autonomous, iterative searches, offers richer insights, signifying a paradigm shift for companies that depend on timely, accurate information to maintain competitiveness and compliance. As a result, the era of fragmented and inefficient data searches is being replaced by new productivity-driven technologies, offering a blueprint for developing scalable AI agents in regulated industries.