VXG Cloud - 2026 Pricing, Features, Reviews & Alternatives

VXG Cloud is a cloud-based video management system that integrates generative artificial intelligence capabilities for video surveillance operations. The platform serves security companies, systems integrators, central monitoring centers, telecommunications providers, and enterprises across retail, healthcare, smart buildings, and access control sectors. It enables organizations to deploy a fully white-labeled, self-hosted video surveillance infrastructure within their own cloud environments or data centers. This approach provides complete control over branding, data ownership, and system customization while supporting unlimited connections to IP cameras, DVRs, and NVRs from any manufacturer.

The platform operates on a microservices architecture distributed across computer clusters to support automatic scaling based on camera count and service demand. Load redistribution safeguards continuous operation during hardware failures and disaster recovery procedures maintain system availability. A direct camera-to-cloud methodology removes the need for on-premises hardware by leveraging software camera firmware plugins, software bridges for routers and on-premises devices, and VPN or port-forwarding configurations. Flexible video storage configurations include cloud-based, on-premises, or hybrid deployment models with recordings in standard MP four and JPG formats.

Generative AI functionality uses contextual video analysis instead of traditional object-based detection and processes natural language queries for both video search and alert configuration. An event-based AI processing model extracts images or short video clips triggered by motion or other events, filters data, and performs analysis to optimize processing efficiency and cost. Users may configure complex alert rules through conversational language descriptions and perform forensic searches with natural language queries. The open AI platform supports simultaneous operation of multiple AI engines on identical camera feeds, enabling the combination of contextual understanding with specialized engines for facial identification, object detection, license plate recognition, and personal protective equipment compliance.

Integration capabilities include REST API access, comprehensive SDKs, and source code availability for seamless connection with in-house or third-party systems. Generative AI processing is conducted within customer-controlled cloud infrastructure through services such as Amazon Bedrock, ensuring video data and metadata remain within private boundaries to support regulatory compliance with GDPR and HIPAA. Remote maintenance services encompass health checks, security patches, bug fixes, and regular updates. Optional technical training equips customer teams with the knowledge required for independent system management.