Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing plants in the West rely on fragmented automation systems where machines, PLCs, robots, and sensors operate in isolation, leading to inefficient production, frequent downtime, and difficulty adapting to changing demand. This lack of integrated intelligence hampers competitiveness against manufacturers that leverage advanced AI-driven coordination.
Solution
Forgis delivers an AI-native orchestration platform that adds a cognitive layer to existing factory hardware. The platform runs causal AI agents on edge devices, enabling “digital engineers” that learn from operational data, make real‑time decisions, and continuously optimize line performance. It unifies machine communication, configures and validates production lines, predicts equipment failures, and provides operators with actionable guidance before downtime occurs. Through a single interface, factories become adaptive, self‑optimizing networks that can reconfigure on the fly to meet shifting market orders, supporting just‑in‑time, customized manufacturing while reducing waste and carbon emissions.
Target Audience
Primary customers are manufacturers, plant managers, and industrial engineering teams in Western factories seeking to modernize automation with AI-driven coordination and improve operational efficiency.
Features
- Edge‑deployed causal AI agents that analyze sensor data and execute real‑time optimization actions
- Unified dashboard that connects disparate PLCs, robots, drives, and sensors into a single logical system
- Predictive maintenance models that forecast failures and suggest preemptive interventions
- Automated line configuration and validation tools that reprogram equipment based on new product specifications
- Integration of demand signals from digital marketplaces to dynamically adjust production parameters
- Human‑in‑the‑loop workflow that presents concise recommendations, allowing operators to focus on quality and innovation