Unovie provides a Nexus Context Platform that merges digital‑twin knowledge graphs with edge‑AI inference to give industrial operators a unified, real‑time view of assets, processes, and sensor data. The cloud‑managed service synchronizes contextual graphs across edge devices, enabling low‑latency AI for predictive risk assessment, robotics control, and video analytics in maritime, manufacturing, and streaming applications.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial operators often struggle to extract actionable insights from distributed edge devices due to fragmented data sources, limited contextual awareness, and the need for real‑time decision making in mission‑critical environments.
Solution
Unovie delivers a Nexus Context Platform that combines digital‑twin knowledge graphs with edge‑AI inference to provide a unified, real‑time view of operational data. By mapping assets, processes, and sensor streams into a contextual graph, the platform enables AI models to run at the edge with full situational awareness, supporting predictive risk assessment, automated robotics control, and video content optimization. The solution is packaged as a cloud‑managed service that synchronizes edge graphs, orchestrates model deployment, and exposes APIs for integration with existing control systems, allowing enterprises to enhance safety, efficiency, and quality without extensive on‑premise infrastructure.
Target Audience
Primary customers are maritime operators, advanced manufacturing facilities, and media streaming services that require edge‑deployed AI with contextual awareness for safety, automation, and content quality.
Features
- Digital‑twin knowledge graphs that unify sensor, asset, and process data into a real‑time contextual model
- Edge‑AI runtime that executes inference directly on devices with low latency and offline capability
- Predictive risk assessment modules for maritime safety, including anomaly detection on oil tankers
- Real‑time video analytics pipelines for OTT streaming platforms, enabling content quality optimization
- Robotics and logistics optimization tools for smart factories, integrating vision analytics and motion control
- Cloud‑managed orchestration for model versioning, graph synchronization, and secure API access