
The Problem: Modern logistics is fragmented. Companies are locked into proprietary ecosystems (Kiva, Locus, etc.), making it impossible to orchestrate mixed fleets of robots from different vendors. Data is siloed, and "smart" fleets are often just running static, brittle rule-sets. The Solution: ARCC (Autonomous Robotics Command Center) is the first Universal Operating System for Logistics. We decoupled the intelligence from the hardware. By acting as a "Headless" Digital Twin, ARCC connects to ANY physics engine (Webots, Gazebo, Nvidia Isaac) or physical robot fleet via a standardized API. Key Innovations: Gemini Brain: We replaced hard-coded logic with a multimodal AI agent that understands context. It doesn't just route robots; it reasons about bottlenecks, battery health, and priority shifts in real-time. Chaos-Resilient: Our "God Mode" chaos engineering engine proves the system can self-heal during network failures, battery spikes, and demand surges. Self-Optimizing: The system learns. After every operational cycle, it analyzes throughput metrics and refines its own strategy weights, becoming more efficient every single day. ARCC isn't just a dashboard; it's the infrastructure layer for the next generation of autonomous supply chains.
15 Feb 2026

Economic Immune System introduces a new paradigm for agentic commerce: economic governance before autonomy. Instead of merely executing payments, the system acts as an intelligent economic governor for USDC wallets on Arc. It continuously analyzes spending behavior across time to detect subtle forms of economic decay—such as recurring micro-cost leakage, vendor concentration risk, convenience bias, and declining value efficiency—that traditional rule-based systems and humans often miss. Built with Gemini for advanced economic reasoning and Circle Developer-Controlled Wallets on Arc, the system evaluates each transaction in context of learned history, not just current balance. Every decision includes transparent explanations, confidence scores, detected economic patterns, and its impact on long-term financial resilience. After transactions execute on-chain, the system performs post-payment reflection, comparing predicted versus actual impact and adapting its future sensitivity—mirroring how biological immune systems learn from exposure. The result is a self-regulating, explainable, and adaptive financial intelligence layer that governs how agents spend money over time. This project demonstrates that true agentic commerce is not just automation—it is learned economic judgment.
24 Jan 2026