Run AI models directly on devices for faster response, reduced latency, and consistent performance—no dependency on cloud connectivity
Ensure sensitive data stays local. On-device processing keeps user information private, secure, and compliant with data protection regulations
Empower devices in remote or offline environments. Maintain uninterrupted operations with autonomous AI agents running at the edge
Eliminate round-trip delays with instant AI-powered decisions at the point of interaction—ideal for critical, low-latency applications
Achieve up to 40% quicker insights by processing data locally, reducing latency and enabling real-time actions
Cut cloud infrastructure expenses by 35% through optimized edge processing and minimized data transfer overhead
Keep sensitive data secure on-device, ensuring compliance with regulations and reducing risks of exposure
Maintain consistent performance even in low-connectivity environments, empowering uninterrupted operations at the edge
Executes AI tasks directly on devices for instant response, reduced latency, and uninterrupted functionality
Keeps sensitive data on-device, enhancing user privacy and ensuring compliance with data protection standards
AI continues working even without internet access—ideal for remote, mobile, or mission-critical environment
Optimized models designed to run efficiently on low-power devices without sacrificing performance
Healthcare
Manufacturing
Automotive
Consumer Electronics
Retail
Process medical data instantly on devices like portable scanners or wearables to reduce latency in diagnosis
Keep sensitive patient data on-device for vitals tracking, reducing cloud exposure and supporting HIPAA compliance
Enable continuous health tracking with AI-powered watches and patches for ECG, sleep, or glucose levels
Trigger instant responses using local processing when patients experience critical health events
Use embedded sensors and on-device AI to predict equipment failures without relying on cloud servers
Run lightweight AI models on cameras to detect production defects in real time at the device level
Enable smart local control of power usage across machinery based on contextual insights
Detect proximity risks, fatigue, or PPE violations on wearable or embedded factory sensors
Process visual and sensor data locally for lane detection, collision warnings, and blind spot alerts
Enable voice assistants and cabin environment adjustments using on-board AI models
Monitor vehicle performance and trigger service alerts directly from embedded processors
Provide real-time navigation using locally processed traffic and terrain data for offline reliability
Run voice models locally for fast response and offline functionality in smart home devices
Enable secure, fast device access using on-device biometric processing
Generate local content suggestions on phones or TVs based on behavior without cloud tracking
Apply filters, scene detection, and stabilization in real time using on-device vision AI
Use on-device AI for product scanning, checkout, or customer support without internet dependency
Run local models to detect audience demographics and tailor content dynamically
Guide customers using mobile or handheld AI assistants with localized map understanding
Analyze behavior directly on security devices to detect suspicious actions instantly