Eight Vectors provides operational intelligence software for material handling equipment (MHE) and autonomous robots in warehouse environments. The platform delivers real-time location and utilization data for MHEs while offering predictive health monitoring for AMRs to prevent failures. This unified visibility helps logistics operations increase fleet utilization, reduce unplanned downtime, and improve overall safety.
Funding
Funding not disclosed
Founders
Product
Problem
Robotic fleets often experience unexpected downtime due to component failures, necessitating costly manual inspections and reactive maintenance. This approach leads to significant operational disruptions and increased maintenance expenditures.
Solution
Eight Vectors provides Zenita.AI, an AI-powered predictive maintenance platform that enables robotic systems to autonomously diagnose their own health. The solution leverages deep learning models to analyze operational data, identify anomalies, and predict potential failures before they occur. This proactive approach minimizes unplanned downtime and reduces the need for manual interventions. Zenita.AI integrates with diverse robotic systems, offering enhanced fleet observability and actionable insights through an intuitive user interface.
Target Audience
The primary customers are organizations operating fleets of robots, including those utilizing Autonomous Mobile Robots (AMRs), Automated Guided Vehicles (AGVs), collaborative robots (cobots), robotic arms, and Unmanned Aerial Vehicles (UAVs).
Features
- AI-driven anomaly detection and self-diagnosis capabilities for robotic systems.
- Predictive analytics to forecast component failures and schedule proactive maintenance.
- Vendor-agnostic platform designed for seamless integration with various robotic hardware and software.
- Real-time fleet monitoring and performance analytics via an intelligent user interface.
- No requirement for additional sensors or hardware; utilizes existing operational data.
- Flexible deployment options to accommodate different operational environments.