Foreviz offers an Agentic AI platform that fuses AI, IoT, and automation to create autonomous agents which ingest real‑time sensor data and make predictive, prescriptive, and pricing decisions for industrial operations. The solution delivers automated maintenance alerts, optimized service schedules, and dynamic spare‑parts pricing while integrating with existing OT/IT systems and allowing human oversight for critical exceptions.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial operators face high downtime, inefficient maintenance scheduling, and suboptimal spare‑parts pricing due to fragmented data, manual decision processes, and limited real‑time insight across assets such as airport equipment, manufacturing lines, and city infrastructure.
Solution
Foreviz delivers an Agentic AI platform that combines AI, IoT, and automation to create autonomous agents capable of ingesting real‑time sensor data, learning patterns, and executing decisions without constant human oversight. These agents provide predictive maintenance alerts, prescriptive actions, and dynamic pricing recommendations for spare parts, turning raw operational data into actionable, self‑optimizing workflows. The platform integrates with existing OT and IT systems, offering a unified interface for monitoring, troubleshooting, and continuous improvement while preserving human oversight for critical exceptions. By automating routine high‑volume decisions, Foreviz reduces operational overhead, improves asset reliability, and enhances revenue from parts management across airports, manufacturing plants, and smart‑city environments.
Target Audience
Primary customers are industrial enterprises such as airport operators, manufacturers, and municipal smart‑city authorities seeking to automate maintenance, optimize parts revenue, and improve operational resilience.
Features
- Autonomous AI agents that ingest IoT sensor streams and execute real‑time decisions for maintenance, operations, and pricing
- Predictive maintenance models that forecast equipment failures and generate optimized service schedules
- Prescriptive analytics for spare‑parts inventory, recommending optimal pricing aligned with market trends
- Seamless integration layer bridging operational technology (OT) and information technology (IT) systems
- Scalable agentic ecosystem that can be customized for airport ground support, manufacturing equipment, or urban infrastructure
- Human‑in‑the‑loop controls allowing oversight and intervention on high‑impact decisions