Orvixo provides AI‑driven production planning and scheduling for complex manufacturing facilities. By capturing a factory’s unique operating rules and planner expertise, its system generates end‑to‑end schedules that continuously adapt to changing conditions, helping plants run more efficiently and meet output targets. The platform is tailored to each site’s specific processes, priorities, and constraints, delivering customized, best‑in‑class planning without a one‑size‑fits‑all approach.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers with complex, customized production processes often rely on generic scheduling tools that cannot incorporate unique factory rules, planner expertise, and real‑time operational changes, leading to inefficiencies, missed targets, and costly manual adjustments.
Solution
Orvixo offers an AI‑driven production planning platform that first creates a live digital model of a factory’s entire operation, ingesting data from ERP, MRP, and other sources. The system captures site layouts, machine capacities, workforce constraints, and the specific priorities and knowledge used by planners. Using this model, Orvixo generates end‑to‑end production schedules that are continuously optimized as conditions evolve, such as equipment downtime or order changes. The adaptive schedules help factories improve throughput, meet production goals, and reduce the need for manual re‑planning. The platform integrates with existing back‑office systems, allowing planners to maintain control while benefiting from AI‑enhanced decision support.
Target Audience
Primary customers are manufacturers of complex, high‑mix, low‑volume or make‑to‑order products that require customized scheduling, including automotive, aerospace, electronics, and industrial equipment producers.
Features
- Live operational model that maps sites, machines, people, and capacity across the shop floor and back office
- Automatic ingestion of data from ERP, MRP, and other enterprise systems
- Capture of custom priorities, goals, and planner knowledge to reflect unique factory rules
- AI‑generated production schedules that continuously adapt to real‑time changes (e.g., machine failures, order updates)
- End‑to‑end planning covering demand forecasting, resource allocation, and execution sequencing
- Integration layer for seamless data exchange with existing manufacturing execution systems