Deep Lake, an AI Knowledge Agent system, aims to drive tangible ROI for companies in 2025 by leveraging multi-modal data and providing highly accurate answers. The system is designed to address the issue of wasted productivity due to manual searches, which can result in significant costs. Deep Lake offers a solution that fixes this problem by generating thoughtful answers across internal and external data sources. It provides features such as seamless cross-modal queries, fine-tuned VLMs for multi-modal retrieval, and real-time hybrid search techniques. The system also achieves comparable or superior accuracy in retrieval compared to OpenAI's Deep Research. Additionally, Deep Lake offers flexibility in choosing underlying AI models and sub-second queries with cost-optimized performance.