Context/fab delivers a unified Context Layer that automatically connects OT (MQTT, OPC UA) and IT (ERP, MES, SQL) data sources, structuring signals, assets, processes, and materials into a live Context Graph. This contextualized data is exposed via APIs and an interactive explorer, enabling manufacturers to perform root‑cause analysis, predictive quality, and enterprise‑wide AI without custom integration. The platform’s auto‑scaling connectors and template‑driven rollout allow rapid, secure deployment across multiple plants.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing plants generate large volumes of data across OT systems (PLC, historians) and IT systems (ERP, MES, QA), but these sources remain siloed, preventing rapid root‑cause analysis, predictive quality, and enterprise‑wide AI deployment.
Solution
Context/fab provides a unified “Context Layer” that automatically connects and structures data from OT protocols (MQTT, OPC UA) and IT sources (ERP, MES, SQL) into a common model. Signals, assets, processes, and materials are mapped into a live Context Graph that fuses real‑time machine data with enterprise information. The platform offers auto‑scaling connectors, template‑driven site rollout, and a time‑series explorer that surfaces bottlenecks and root‑cause insights without custom integration work. By delivering clean, contextualized data through APIs, it enables analytics, AI models, and lightweight applications to operate consistently across all plants, turning existing data into actionable intelligence at scale.
Target Audience
Primary customers are manufacturers seeking to modernize brownfield factories—plant managers, operations engineers, and data science teams that need enterprise‑wide, context‑rich data for AI and analytics.
Features
- Secure, auto‑scaling connectors for OT (MQTT, OPC UA) and IT (ERP, MES, QA, SQL) systems
- Automatic structuring of signals and metadata into a unified production model
- Unified Context Graph linking assets, processes, materials, and live data streams
- Interactive time‑series explorer with process‑flow visualizations and bottleneck detection
- API layer that serves clean, contextual data to analytics, AI, and custom applications
- Template‑based site deployment enabling new plants to be onboarded in weeks rather than months
- Built‑in policies for data governance, lineage, and access control across the enterprise