On-premise, cloud, hybrid, or edge. One-command installation with automatic hardware auto-tuning. Thousands of streams per node with containerized microservices and air-gap support.
Discuss Your DeploymentChoose the deployment model that fits your security, performance, and operational requirements.
Deploy Visylix on your own infrastructure for complete data sovereignty, air gapped environments, and maximum security compliance.
Run Visylix on AWS, Azure, or GCP with auto scaling, managed infrastructure, and global availability for maximum flexibility.
Combine on premise cameras and edge processing with cloud based management, analytics, and long-term storage for a unified experience.
Deploy lightweight Visylix agents on edge compute devices for real time AI inference directly at the camera with minimal bandwidth usage.
Enterprise-grade infrastructure capabilities across all deployment models.
TLS 1.2+ enforcement, DTLS-SRTP for WebRTC, AES-256 credential encryption, RBAC with 30+ permissions, and comprehensive audit logging.
Kubernetes HPA and VPA support for automatic resource scaling based on workload.
Deploy across multiple regions with data replication and geographic routing.
Infrastructure as code with Helm charts, Terraform modules, and CI/CD pipelines.
Our solutions architects will help you design the optimal deployment topology for your environment.
As a Docker image that runs on infrastructure you already control. There are five supported modes: cloud, on-premise, edge, hybrid, and fully air-gapped. Because it is a container rather than an appliance, the same build runs in all five, and moving between them does not mean changing product.
No. Visylix sells software, not hardware or infrastructure. You run it on your own servers, your own virtual machines, or your own cloud account. This is a deliberate difference from cloud VMS vendors that bundle proprietary cameras or require their hosting.
Yes. Air-gapped deployment is supported, and it includes the AI. All 22 analytics models and the Radha copilot execute locally, so no video, metadata, or query text is sent anywhere for processing. Many platforms that claim on-premise deployment still call out to a cloud service for inference or for the assistant; Visylix does not.
Running recording and analytics locally at a remote site, such as a depot, branch, or plant, with only alerts and metadata travelling back to a central system. It suits sites with limited or unreliable bandwidth, since full video does not need to cross the link continuously.
Yes, through multi-cluster federation. Independent deployments across sites can be searched and viewed from one operations centre while each site keeps its own recordings and retention policy locally. Video stays at the source rather than being centralised into one archive.
No. Pricing is per plan rather than per camera, per node, or per deployment mode, so cloud, on-premise, edge, hybrid, and air-gapped all carry the same licence terms. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month, and Enterprise is quoted per deployment.