Technology Capabilities
Systems that allow you to perceive and understand the industrial physical environment in real time. We integrate sensors, machine vision, and generative AI technologies to digitize the physical world and transform operational events into actionable data.
1. Intelligent Perception
Systems
Use cases
Operational safety based on Artificial Intelligence, automatic process monitoring, material traceability, inventory control and monitoring of critical operations.
Capabilities
• Industrial Computer Vision
• Edge AI for on-floor processing
• Detection of operational events
• Traceability of assets and materials
• Industrial IoT sensors
• Real-time video analytics for operations
• Correlation of operational events
2. Data & Intelligence
Platforms
Use cases
Predictive asset maintenance, industrial process optimization, operational performance monitoring, early anomaly detection, and advanced real-time operations analysis.
Capabilities
• OT/IT data integration
• Industrial data platforms
• Asset and process modeling
• Advanced analytics and AI-powered recommenders
• Predictive maintenance
• Detection of operational anomalies
• Dashboards and visualization of industrial data
3. Autonomous Operations & Robotics
Use cases
Automated inspection of industrial facilities, remote monitoring of critical infrastructure, autonomous inventories in warehouses or yards, and execution of tasks in high-risk environments without human intervention.
Capabilities
• Robotics as a Service (RaaS)
• Autonomous Mobile Robots (AMR)
• Industrial drones for inspection
• Autonomous monitoring missions
• Robotics with machine vision
• Automated infrastructure inspection
• Integration of robots with AI platforms
4. Digital Operations
Platforms
Use cases
Integrated control centers for operations, real-time monitoring of processes and assets, unified visualization of operations, and support for data-driven operational decision-making.
Capabilities
• Unified Operations Centers
• Real-time operational dashboards
• Integration of multiple industrial systems
• Centralized monitoring of assets and processes
• Operations Digital Twins
• Operational event management
• Operational monitoring platforms
5. Advanced Infrastructure & Connectivity
Use cases
Connectivity for industrial sensors, integration of OT networks in plants and remote operations, digital infrastructure for real-time monitoring and support for AI platforms and autonomous systems.
Capabilities
• Industrial OT network design
• Industrial WiFi and critical wireless networks
• Edge infrastructure for local processing
• IT/OT network integration
• Industrial connectivity architectures
• Networks for remote operations
• Infrastructure for industrial AI platforms
6. Industrial Innovation & Systems Engineering
Use cases
Development of new technological solutions for operations, design of intelligent systems that integrate sensors, AI and robotics, and validation of emerging technologies through pilots and prototypes.
Capabilities
• Industrial systems engineering
• Design of technological architectures
• Development of industrial AI solutions
• Technological prototyping
• Implementation of pilots and Proofs of Concept
• Integration of sensors, AI, and robotics
• Development of technological platforms