Orilla
Orilla provides an edge-native industrial platform that unifies device management, application orchestration, and data quality into a single hardware-agnostic system. Its Campsite™ component normalizes and contextualizes operational data, while Orilla Edge AI™ applies machine learning to asset data for actionable intelligence. The platform is designed for edge deployment, enabling real-time responsiveness and resilience even with limited cloud connectivity.
- Internet of Things
- Manufacturing / Industry 4.0
- Industrial Automation
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Industrial systems generate vast amounts of operational data, yet organizations struggle to convert that data into actionable value. Managing complex device fleets, applications, and data streams across distributed operational environments creates significant challenges in achieving performance and availability objectives.
Solution
Orilla delivers an edge-native platform for industrial operations that combines device management, application orchestration, and data quality capabilities in a single, hardware-agnostic system. The platform's Campsite™ component creates a trusted operational foundation by normalizing, completing, and contextualizing data from devices, fleets, and applications. On top of this foundation, Orilla Edge AI™ applies machine learning and artificial intelligence to asset data, transforming it into actionable intelligence that drives improvements in performance, availability, and operational decisions. The platform is designed for edge deployment, bringing compute and data processing close to industrial systems. This architecture supports real-time responsiveness and resilience even when connections to central cloud infrastructure are limited.
Target Audience
Industrial operations teams and enterprises managing distributed device fleets and complex operational technology environments that need to transform raw industrial data into actionable intelligence.
Features
- Unified management of devices, fleets, and applications from a single edge-native platform
- Data normalization, completion, and contextualization to establish trusted, high-quality operational data
- Hardware-agnostic design that works across diverse industrial equipment and infrastructure
- Application orchestration for distributed industrial operations
- Edge AI layer that applies machine learning to asset data for predictive insights
- Outcome-oriented architecture focused on performance, availability, and decision support