adaptive, thinking companions. Our NeoIntelligent systems enable robots and AI to build continuous, traceable knowledge of their environments, task histories, and interaction patterns, fostering genuine contextual intelligence that evolves with every experience. At the heart of Partenit's technology is ontological memory, which structures robotic experiences as living knowledge graphs. This allows systems to map interactions like neural pathways, retrieve contextual insights on demand, and autonomously learn—resulting in robots that not only react but anticipate, adapt, and explain their decisions. Key advantages over large language models include cost-efficiency, precision, reliability, transparency, explainability, and seamless integration into existing workflows.

Expanding into high-growth sectors like warehouse operations and Robotics as a Service (RaaS), Partenit targets automation of labor-intensive tasks such as picking, inventory management, putaway, and cycle counting. By equipping humanoid and service robots with real-time learning capabilities, we address chronic labor shortages in logistics and retail, offering 30-50% efficiency gains for mid-to-large enterprises. Our go-to-market strategy focuses on pilots with major retailers like Walmart, Target, Costco, Aldi, Trader Joe's, and Home Depot, aiming for scalable deployments in the U.S. market. With a total addressable market exceeding $100B in warehouse labor spend and projected serviceable obtainable market of $100-600M ARR in the next few years, Partenit is positioned to lead the shift toward explainable, memory-driven AI for a smarter, more autonomous future.