Scopo provides a context-aware, multi-agent Factory OS that connects workers, machines, and processes on the shopfloor for real-time productivity optimization. This agentic AI continuously learns optimal production parameters by fusing machine data with operator context to improve Overall Equipment Effectiveness (OEE). The platform unifies people, assets, and data to streamline workflows and empower teams with instant, expert decision support.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing plants often rely on isolated machine data and manual operator adjustments, leading to sub‑optimal machine settings, frequent downtime, and low Overall Equipment Effectiveness (OEE). The lack of real‑time contextual information from operators prevents AI systems from accurately interpreting production conditions, while fragmented legacy systems hinder unified monitoring and decision‑making across lines and workcells.
Solution
Scopo delivers a context‑aware, multi‑agent Factory Operating System that unifies workers, machines, and process data into a single, secure architecture. Specialized AI agents ingest sensor streams from equipment and real‑time operator inputs (audio, video, text) to continuously infer the optimal production parameters for each product, material batch, and operating condition. The system disseminates these recommendations instantly to operators via smart‑phone apps, kiosks, or headsets, establishing a consistent baseline of best practices on the shop floor. Continuous analysis across machine, line, and laboratory agents drives automated OEE improvements, reduces scrap, and shortens downtime without requiring extensive re‑training of staff. Integration middleware connects the OS to existing MES, ERP, and SCADA systems, enabling seamless data flow and enterprise reporting.
Target Audience
The primary customers are manufacturers of labor‑intensive, high‑mix production lines—such as injection molding, extrusion, metal forming, and assembly workcells—in sectors including automotive, medical devices, food packaging, aerospace, and construction.
Features
- Worker communication suite (mobile apps, multi‑modal kiosks, voice‑enabled headsets) for real‑time context capture and AI feedback
- Machine‑level AI agents that fuse PLC data with operator inputs to recommend optimal settings and predictive maintenance actions
- Production‑line AI agents that aggregate multiple machine agents and supervisory context to optimize cell‑wide throughput and quality
- AI‑powered vision modules for inline part inspection, coupled with environmental sensors (temperature, humidity) for quality assurance
- Laboratory integration tools (QR/barcode scanning, equipment connectors) to incorporate test results into the production feedback loop
- Unified data namespace with secure MQTT/OPC‑UA brokers, providing real‑time streaming to cloud analytics and on‑prem dashboards
- Plug‑and‑play connectors for MES, ERP, and historian systems, plus an open API for third‑party AI services
- Role‑based access controls and end‑to‑end encryption to ensure compliance with industrial security standards