Engineering Intelligence at the Edge
Building the AI Vision Platform for Intelligent Systems
InQvate is developing a unified AI Vision Platform that transforms cameras from passive recording devices into intelligent systems capable of perception, understanding and autonomous decision support.
Object detection, segmentation, tracking, OCR, anomaly detection and edge analytics.
One software platform deployed across multiple industries and hardware platforms.
Smart Cities, Manufacturing, Healthcare, Retail, Logistics, Automotive and Robotics.
Vision models have matured to commercial readiness.
SOC vendors like Qualcomm, NVIDIA, Ambarella, Renesas and others enable powerful on-device AI inference.
Customers increasingly require intelligent automation instead of passive surveillance.
Traditional cameras capture and record. InQvate adds intelligence to the vision pipeline, turning visual data into real-time understanding and actionable decisions.
Capture → Record → Store → Manual Review
Capture → Detect → Understand → Predict → Act
A hardware-agnostic AI Vision Platform supporting Qualcomm Snapdragon, NVIDIA Jetson, Ambarella and Renesas edge processors.
Smart Cities • Industrial • Automotive • Healthcare • Retail • Robotics • Security
Unified Platform • Dashboard • Device Management • OTA • Cloud • SDK
Detection • Tracking • Segmentation • OCR • ANPR • Analytics • AI Services
TensorRT • OpenCV • ONNX Runtime
Qualcomm Snapdragon • NVIDIA Jetson • Ambarella • Renesas
Entry-level AI camera for SMB deployments.
Enterprise camera with advanced analytics.
Industrial AI vision platform.
Edge AI compute appliance.
Driver monitoring and ADAS.
Machine vision for autonomous robots.
One AI Vision Platform enabling intelligent solutions across Smart Cities, Manufacturing, Healthcare, Retail, Transportation, Robotics and Automotive.
Intelligent Surveillance
Traffic Monitoring
Incident Detection
Crowd Analytics
Illegal Parking Detection
Fall Detection
Patient Monitoring
Elderly Care
Restricted Area Monitoring
PPE Detection
Safety Compliance
Worker Monitoring
Defect Detection
Production Line Inspection
Customer Analytics
Queue Monitoring
Heat Maps
Shelf Monitoring
Loss Prevention
ANPR / License Plate Recognition
Vehicle Classification
Speed Monitoring
Toll Automation
Face Recognition
Intrusion Detection
Perimeter Protection
Object Left Behind
Weapon Detection
Object Detection
Navigation
SLAM
Bin Picking
Autonomous Inspection
Driver Monitoring
Occupancy Detection
Blind Spot Detection
Cabin Monitoring
ADAS Vision
Detection • Classification • Tracking • Segmentation • OCR • Pose Estimation • Behavior Analysis • Predictive Analytics
YOLO11, RT-DETR, RF-DETR, SAM2
TensorRT, CUDA, OpenCV, ONNX Runtime
Qualcomm Snapdragon • NVIDIA Jetson • Ambarella • Renesas
Linux BSP, Device Drivers, Multimedia Frameworks, Camera ISP, Edge Computing and Real-Time Embedded Software.
Computer Vision, Edge AI, Deep Learning Deployment, Video Analytics, Object Detection, Tracking and Intelligent Vision Applications.
System and Software Architecture for Autonomous Driving, Automotive Camera Systems, ADAS, Surround View, Driver Monitoring Systems (DMS), In-Vehicle Vision Platforms and Functional Integration.
Qualcomm Snapdragon, NVIDIA Jetson, Ambarella, Renesas, TensorRT, OpenCV and ONNX Runtime.
AI Vision is becoming a core capability across industries.
Software-first, hardware-agnostic architecture.
Deep expertise across embedded systems, AI and camera technologies.
Building the Next Generation of AI Vision Platforms
At InQvate, the "Q" represents our vision of the next Quantum Leap in intelligent systems. We begin by building AI-powered vision platforms today, with a long-term ambition to pioneer quantum imaging, quantum sensing, and intelligent quantum systems that redefine how machines perceive, understand, and interact with the world.