Enable real-time analytics directly at the data origin, reducing latency and ensuring faster, smarter decisions without relying on cloud dependency
Maintain data sovereignty by processing sensitive information within enterprise boundaries, ensuring compliance with industry regulations
Deploy customized edge AI models across industries — from manufacturing and healthcare to retail and telecom — for optimized operations
Empower devices with intelligent agents that learn, adapt, and act locally, ensuring resilience and continuity even with limited connectivity
Process data at the source for instant insights, reducing delays and enabling faster real-time decision-making
Keep sensitive data within enterprise boundaries, ensuring compliance with regional and industry regulations
Deploy Edge AI across distributed environments with ease, scaling operations without compromising performance
Maintain continuous operations even with limited or no cloud connectivity, ensuring business continuity at the edge
Processes data locally at the source, minimizing latency and enabling real-time decisions even without cloud connectivity
Deploy, manage, and update AI models seamlessly across thousands of edge nodes with centralized orchestration
Train and fine-tune computer vision models tailored to specific environments, from factory floors to retail aisles
Incorporates hardware-level security and encrypted data pipelines to ensure compliance and safeguard sensitive on-device analytics
Manufacturing
Healthcare
Retail
Smart Cities
Energy & Utilities
Detect anomalies in machinery to prevent breakdowns and reduce downtime
Use edge vision systems for real-time defect detection on production lines
Analyze machine data at the edge to fine-tune workflows and boost output
Monitor safety compliance with AI-powered video and sensor data at the edge
Process X-rays, MRIs, and scans instantly at the point of care for faster diagnosis
Use edge devices to track vitals and health conditions in real time
Keep data local to comply with HIPAA/GDPR without sending it to the cloud
Trigger instant alerts during patient emergencies using low-latency edge AI
Track stock levels, placement, and expiry in real time to reduce out-of-stock issues
Analyze movement and interaction patterns to improve store layout and product placement
Identify theft or unusual behaviour instantly via edge-based video analytics
Deliver targeted offers based on real-time shopper engagement and demographics
Use live vehicle data to control signals dynamically and reduce congestion
Analyze public video feeds locally to detect threats without cloud dependence
Track air quality, noise, and other metrics for smarter urban planning
Deploy AI-driven situational awareness during accidents, disasters, or road closures
Balance power distribution in real time by analyzing grid data at the edge
Detect early signs of wear or damage in turbines, transformers, or substations
Operate and monitor remote assets without relying on central servers
Track environmental metrics and emissions locally to ensure regulation adherence