Company profile
CVEDIA
AI-powered video analytics transforming cameras into intelligent sensors.
- Category
- Computer vision
- Headquarters
- Singapore
- Sells to
- Enterprise
- Business model
- Licensing, Hardware, Services & consulting
- Deployment
- On-premise, Edge, Cloud / SaaS, API
- Pricing
- Per-channel licensing (perpetual or subscription) with add-on premium analytics. Volume and OEM pricing available. · free tier
- Builds own models
- Yes
- Modalities
- Video, Sensor
What CVEDIA does
CVEDIA is an AI-powered video analytics software company that transforms any camera into an intelligent sensor, natively integrated inside the world's leading VMS platforms. Built on a proprietary synthetic data training pipeline, CVEDIA-RT delivers industry-leading accuracy with near-zero false positives, independently verified over extended real-world evaluations. Their analytics run in real time, on affordable hardware, without replacing existing infrastructure. CVEDIA owns the full AI pipeline, from proprietary synthetic data generation and model training to hardware optimization and VMS integration, ensuring continuous improvement through active learning. Their solutions are designed for real-world intelligence, built for the edge, and proven in defense, working accurately in challenging conditions where off-the-shelf AI fails.
Products
- CVEDIA-RTThe modular AI inference engine that powers all CVEDIA solutions. It can be deployed on various hardware, integrated via REST API, and extended with plugins and custom integrations. It is also available as an SDK for developers to embed analytics into their own products.
- AI HUB-8A professional-grade AI video analytics hardware solution in one box, offering an 8-channel smart camera hub with person and vehicle detection, and no monthly fees.
- CVEDIA AI ApplianceA turnkey hardware solution, purpose-built and pre-configured for simplified deployment in high-scale enterprise environments. It's a network-attached acceleration architecture that offloads AI processing from the VMS server.
- Enterprise VMS PluginsNative plugins for leading VMS platforms like Milestone XProtect and Nx Witness, delivering immediate intelligence to existing ecosystems without additional software or workflows.
- Model ForgeCVEDIA's proprietary end-to-end model lifecycle and deployment system, which acts as a cross-platform compiler to optimize AI models for any target hardware, ensuring they work everywhere they are deployed.
- Active Learning PipelineA system that turns real-world edge cases into model improvements, deployed in days. Operators can report issues with a single click, and fixes are automatically deployed after retraining and validation.
- AI Video Analytics Plugin for Nx WitnessA plugin delivering advanced AI-powered video analytics directly within the Nx Witness environment, providing real-time threat detection, forensic search, and intelligent alerts. Also compatible with Hanwha Wisenet Wave, DW Spectrum, and Piko.
- AI Video Analytics Plugin for Milestone XProtectA plugin delivering advanced AI-powered video analytics directly within the Milestone XProtect environment, providing real-time threat detection, forensic search, and intelligent alerts.
Key capabilities
- Proprietary synthetic data training pipeline
- Industry-leading accuracy with near-zero false positives
- Real-time analytics
- Runs on affordable hardware
- Native integration with leading VMS platforms (Milestone XProtect, Network Optix, Hanwha Wave, Digital Watchdog Spectrum)
- Full AI pipeline ownership (synthetic data, model training, hardware optimization, VMS integration, active learning)
- Hardware-agnostic deployment (edge devices to enterprise servers)
- REST API access
- MQTT/webhook output
- Zone & tripwire configuration
- Multi-stream support
- Remote management
- Event export
- Perpetual and subscription licensing models
- Standard Analytics (Intrusion, Loitering, Line crossing, Crowding, Tailgating, Appearance Search, Counting, Animal Detection, Crowd estimation)
- Premium Analytics (Armed person detection, Automatic License Plate Recognition, Fallen person detection)
- Modular AI inference engine
- Native SDKs (C++, C, C#, Python)
- Plugin architecture for custom solutions
- Support for 10+ hardware accelerators (NVIDIA GPU, Intel OpenVINO, Jetson, Hailo-8/15, Ambarella, Qualcomm, Rockchip, Blaize, DeepX, ARM NN, SigmaStar)
- Model Forge for cross-platform model compilation and optimization
- Active learning pipeline for continuous model improvement
- Forensic search by object attributes (demographic, appearance, accessories, behavior, threat identifiers, special needs)
- Experimental features (Remote Vehicle Guarding, Surrender Detection, Face Covered Detection, Vehicle Speed Estimation)
- GDPR and CCPA compliant
Use cases
- Remote Monitoring & Security (real-time threat detection, perimeter security, incident response)
- Business Intelligence (metadata layer for counting, customer-flow analysis, BI insights & dashboards)
- Enterprise Critical Infrastructure (analytics for environments where failure isn't an option)
- OEM & Embedded (embedding intelligence directly into hardware products)
- Real-time threat detection
- Operational business intelligence
- Perimeter intrusion detection
- Loitering & suspicious behavior detection
- Vehicle & person tracking
- Fence line monitoring
- Thermal & RGB camera support
- People count & flow analytics
- Queue & service monitoring
- Zone occupancy tracking
- Dwell time measurement
- Queue & wait time metrics
- Weapon & threat detection
- After-hours intrusion alerts
- Tailgating detection at secured entries
- Perimeter & access control for auto dealerships
- License plate capture for visitor tracking in auto dealerships
- Vehicle monitoring & tracking in auto dealerships
- Customer traffic analytics in auto dealerships
- Vehicle detection, classification, and counting for Traffic & ITS
- Vulnerable road user detection (cyclists, pedestrians)
- Queue length measurement for traffic
- Speed & violation detection for traffic
- Parking occupancy analytics
- Mission-critical AI vision for defense environments (moving sensor tracking, small target detection, multi-domain coverage, real-time edge deployment, rare object class training)
- Loss prevention in retail
- Customer insights in retail
- Operational efficiency in retail
- Patient fall detection in healthcare
- Wandering patient alerts in healthcare
- Restricted area monitoring in healthcare
- Common area occupancy monitoring in healthcare
- PPE compliance monitoring in healthcare
- Campus security and safety monitoring for educational institutions
- Weapon detection systems in education
- Unauthorized access alerts in education
- Visitor & entry tracking in education
- Attendance monitoring in education
- Parking lot & vehicle monitoring in education
- Operational efficiency and safety analytics for restaurant & hospitality
- Drive-thru optimization
- Slip & fall detection
- Customer count & dwell time for restaurant & hospitality
- After-hours security monitoring for restaurant & hospitality
- Embed analytics directly into camera firmware
- Build custom VMS integrations
- Pre-configure CVEDIA-RT on hardware for turnkey analytics boxes
- Deploy RT Server on cloud platforms (AWS, Azure, GCP) for cloud analytics
- ATM security & fraud detection
- Branch violence prevention
- Organized reconnaissance detection
- Object guarding
- Object left behind detection
- Retrospective analysis and forensic search
AI approach
CVEDIA develops AI-powered video analytics software using a proprietary synthetic data training pipeline. They control the full AI pipeline from synthetic data generation, custom model training, hardware optimization, VMS integration, to active learning for continuous improvement. Their Model Forge system compiles models for various hardware targets, and their active learning pipeline allows for rapid retraining and deployment of model improvements based on real-world feedback.
Tech named: synthetic data training pipeline, proprietary generation, custom architectures, hardware optimization, VMS Integration, Active Learning Pipeline, Model Forge, neural network compiler, TensorRT, OpenVINO, Hailo, MNN, TFLite, RKNN, DEEPX, Blaize, INT8/FP16 quantization, Conv-BN-ReLU fusion, memory layout transformation (NCHW↔NHWC), constant folding, dead code elimination, dynamic shape support, mAP regression testing, CI/CD integration, ML algorithms, deep learning, computer vision
Industries served
- Remote Monitoring & Security
- Retail
- Banking & Finance
- Auto Dealerships
- Traffic & ITS
- Healthcare
- Education
- Enterprise
- Critical Infrastructure
- Defense & Aerospace
- Restaurant & Hospitality
What it says sets it apart
- Owns the full AI pipeline from training data to deployment
- Uses proprietary synthetic data generation for training, eliminating dataset bias and covering rare edge cases
- Models are optimized for real-world accuracy and perform in challenging conditions (rain, fog, glare, low light)
- Hardware-agnostic, runs on existing cameras, servers, and VMS without rip-and-replace
- Scalable without ballooning hardware or per-camera licensing costs
- Deployment-proven performance with 10x more channels per server than competitors and <5min typical installation time
- 90%+ reduction in false positives
- Flexible licensing models (perpetual or subscription)
- Active learning pipeline for continuous improvement from real-world feedback in days, not months
- Model Forge automatically optimizes models for various hardware targets without requiring specialized expertise
- Privacy-safe training using synthetic data, not real people
- Specialized detection models for industry-specific scenarios (e.g., ATM-specific threats, weapon detection in banking)
- Offers a free trial with 4 channels for 30 days
This profile was compiled from CVEDIA's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.