Our Solutions
Deeply integrated with your industry processes
01. Intelligent Operations Systems
From Reactive Operations to System-Led Intelligence.
What it solves: Fragmented operations, slow decision cycles, manual interventions through digital transformation.
Key Use Cases
- Real-time operational control towers powered by IoT services
- Exception and anomaly detection in operations using operational intelligence
- Predictive planning and scheduling for enhanced efficiency
- Root-cause analysis for performance deviations leveraging AI-driven operational recommendations
Typical Outcomes
- Faster operational decisions
- Reduced inefficiencies
- Higher predictability and control
02. Industrial & Asset Intelligence
From Reactive Assets to Intelligent Performance.
What it solves: Limited visibility into assets, reactive maintenance, and data silos can significantly hinder digital transformation efforts.
Key Use Cases
- Equipment and asset health monitoring through IoT services
- Predictive and condition-based maintenance leveraging operational intelligence
- Energy consumption optimization for improved efficiency
- Sensor and machine data intelligence for enhanced decision-making
- Asset lifecycle performance tracking to ensure optimal use
Typical Outcomes
- Lower maintenance costs
- Improved asset uptime
- Extended asset life
03. Digital Twins & System Simulation
Simulate Before You Commit. Predict Before You Act.
What it solves: Inability to predict system behavior, safely test changes, or understand complex interactions in the context of digital transformation.
Key Use Cases:
- Asset-level digital twins for equipment and machines, enhancing IoT services.
- Process and plant-level system simulation for improved operational intelligence.
- Scenario modeling using live sensor data to drive effective decisions.
- Capacity and throughput stress testing to ensure reliability.
- Predictive and prescriptive system optimization for smarter operations.
Typical Outcomes
- Reduced risk through
- Better planning and optimization
- Higher system reliability
04. Connected Control & Command Systems
Sense Faster. Decide Smarter. Act in Real Time.
What it solves: Delayed response to sensor events, disconnected control actions, and lack of centralized command can hinder digital transformation efforts. Key Use Cases include: Real-time command and control centers that enhance operational intelligence, event-driven alerts from sensors and edge devices, automated control actions using rules and thresholds, human-in-the-loop operational decisions, and multi-site orchestration of distributed IoT services.
Typical Outcomes
- Faster response to critical events
- Improved operational control
- Centralized visibility with distributed execution