What help you get to reinvent
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.
Benefits
94%
report improved performance through real-time, on-device AI processing with no reliance on cloud.
70%
see enhanced data privacy and compliance by keeping sensitive data on local devices.
8 in 10
organizations gain operational resilience with edge AI running even in offline conditions.
85%
achieve faster decisions in critical scenarios through low-latency, on-device analytics.
Top Features and pillars
Edge-First Processing
Executes AI tasks directly on devices for instant response, reduced latency, and uninterrupted functionality.
Private by Design
Keeps sensitive data on-device, enhancing user privacy and ensuring compliance with data protection standards.
Offline Functionality
AI continues working even without internet access—ideal for remote, mobile, or mission-critical environments.
Energy-Efficient AI
Optimized models designed to run efficiently on low-power devices without sacrificing performance.
Solutions Provided
Edge Computing
Scalable On-Device Inference
Process data where it’s generated. Achieve consistent, low-latency performance across devices without dependence on cloud connectivity.
Efficient AI
Model Optimization for Edge Deployment
Adapt and compress models to run efficiently on-device. Enable high-performance inference with minimal resource usage.
Real-Time AI
Autonomous Operations at the Edge
Enable smart factories and machines with real-time AI that continues to operate in remote or low-connectivity settings.
Remote AI
AI Functionality Without Connectivity
Support offline operations with on-device AI—ideal for remote locations, travel hubs, or mobile environments.
What you will Achieve
Real-Time Decisions
Enables ultra-low latency processing by performing AI tasks directly on the device without cloud dependency.
Reduced Bandwidth Usage
Minimizes data transmission by keeping inference local, conserving network load and lowering operational costs.
Enhanced Privacy
Keeps sensitive data on-device, aligning with privacy regulations and reducing exposure to external threats.
Autonomous Operations
Supports uninterrupted AI performance even in offline or low-connectivity environments, ideal for field and remote use cases.
Industry Overview
Healthcare
Manufacturing
Automotive
Consumer Electronics
Retail
Real-Time Diagnostics
Process medical data instantly on devices like portable scanners or wearables to reduce latency in diagnosis
Privacy-Preserving Monitoring
Keep sensitive patient data on-device for vitals tracking, reducing cloud exposure and supporting HIPAA compliance
Smart Wearables
Enable continuous health tracking with AI-powered watches and patches for ECG, sleep, or glucose levels
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Emergency Alerts & Fall Detection
Trigger instant responses using local processing when patients experience critical health events
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Machine Health Monitoring
Use embedded sensors and on-device AI to predict equipment failures without relying on cloud servers
Vision-Based Defect Detection
Run lightweight AI models on cameras to detect production defects in real time at the device level
Energy Optimization Controllers
Enable smart local control of power usage across machinery based on contextual insights
Worker Safety Sensors
Detect proximity risks, fatigue, or PPE violations on wearable or embedded factory sensors
Driver Assistance Systems (ADAS)
Process visual and sensor data locally for lane detection, collision warnings, and blind spot alerts
In-Vehicle Personalization
Enable voice assistants and cabin environment adjustments using on-board AI models
Predictive Maintenance Alerts
Monitor vehicle performance and trigger service alerts directly from embedded processors
Navigation & Route Optimization
Provide real-time navigation using locally processed traffic and terrain data for offline reliability
Voice Assistants & Speech Recognition
Run voice models locally for fast response and offline functionality in smart home devices
Face & Gesture Unlocking
Enable secure, fast device access using on-device biometric processing
Personalized Recommendations
Generate local content suggestions on phones or TVs based on behavior without cloud tracking
Camera Enhancements
Apply filters, scene detection, and stabilization in real time using on-device vision AI
Smart Kiosks
Use on-device AI for product scanning, checkout, or customer support without internet dependency
Digital Signage Intelligence
Run local models to detect audience demographics and tailor content dynamically
In-Store Navigation Assistants
Guide customers using mobile or handheld AI assistants with localized map understanding
Loss Prevention Cameras
Analyze behavior directly on security devices to detect suspicious actions instantly
Trusted by leading companies and Partners
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