io Canvas is designed to configure, monitor, and troubleshoot wired and wireless infrastructure at scale. Built to deploy on public cloud, private cloud, and on-premises, io Canvas enables centralized management of Access Points and Switches. Its built-in AI engine provides real-time performance insights, proactively detects network anomalies, identifies root causes, and delivers actionable recommendations to ensure resilient and high-performing network operations across enterprise environments.
Gain centralized visibility and control over entire network—including Access Points and Switches with deployment on public cloud, private cloud, or on-premises environments.
Leverage AI-powered insights to proactively detect network anomalies, uncover root causes, and receive real-time, actionable recommendations to optimize performance and reduce mean time to resolution.
io Canvas caters to different customer needs with options for high-scale multi-VM cloud to lightweight single-VM on-premises deployments.
Recognizing the diverse needs of network operations, io Canvas is available in multiple deployment variants to suit organizations of all sizes. Whether you're a large enterprise, a mid-sized business, or a fast-growing startup, the platform offers exceptional deployment flexibility, supporting public cloud, private cloud and on-premises environments. With native support for leading cloud providers like AWS, Microsoft Azure, and Google Cloud, io Canvas ensures scalable, secure, and cost-efficient network management tailored to your operational model.
Cloud-based, Secure Multi-Tenant
High-scale solution hosted on the public cloud through a multi-VM Kubernetes cluster.
Fully managed solution.
Complete data privacy and isolation across tenants.
Prompt rollout of the latest software and security updates.
Highly available hyper scaler infrastructure, with application-level redundancy.
Server-based, Scalable Single-Tenant
High-scale solution that can be deployed on Private Cloud and On-Premises environments through a Multi VM Kubernetes cluster.
Self-managed solution with support
Periodic software updates included in the support package ensures that software stays up-to-date and secure.
Option for High Availability and Data Centre/Data Recovery (DC/DR) configurations.
Server-based, Single-Tenant
Offers a self-managed lightweight instance that can be self-installed on a laptop, desktop, or VM, making it an ideal choice for smaller businesses.
Supports up to 5000 network elements
Periodic software updates included in the support package ensures that software stays up-to-date and secure.
Easily oversee your entire network through a unified, intuitive GUI. Simplify operations with hierarchy-based, template-driven configuration management for seamless control and efficiency.
Delivers proactive, real-time network monitoring with advanced analytics, allowing you to detect issues before they escalate. Streamline root cause analysis, gain actionable insights, and receive intelligent recommendations to enhance network performance.
Facilitates smooth integration, allowing you to build a customized ecosystem tailored to your needs. It supports standards-based interoperability with third-party solutions, including AAA, Captive Portal, and Network Access Control systems. Northbound APIs facilitate integration with external services such as third-party NMS.
Enables effortless zero-touch provisioning for all network elements, ensuring rapid deployment. Network configurations are automatically pushed to new devices, and software upgrades can be applied in bulk with ease.
Get answers to the most common questions about AI-powered network management platform to help you choose the right solution for seamless control and visibility.
An AI-powered network management platform uses machine learning and intelligent analytics to monitor, configure, and optimize network performance in real time. It provides centralized visibility across wired, wireless, and hybrid networks, enabling IT teams to detect anomalies, predict potential issues, and automate routine operations. By leveraging AI, these platforms help enterprises reduce downtime, enhance security, and maintain high-performing, resilient networks across distributed environments.
Predictive network analytics leverages historical and real-time data to forecast network issues and recommend corrective actions. It continuously analyzes telemetry data to identify anomalies, such as unusual traffic spikes or failing switches, before they impact operations. In one case, a mid-sized enterprise reduced downtime by 35% using AI-driven root cause analysis. Predictive analytics ensures proactive management, faster resolution, and better overall network reliability for hybrid, cloud, and on-premises infrastructures.
Modern platforms like io Canvas can manage a wide variety of devices, including switches, access points, routers, and IoT gateways. It supports on-premises, private cloud, and public cloud networks, unifying control across hybrid infrastructures. For example, an enterprise with multiple branch offices successfully centralized monitoring of over 5,000 devices using io Canvas, streamlining troubleshooting and policy enforcement across diverse locations.
AI-driven network management platforms offer flexible deployment models to meet enterprise requirements:
These options enable organizations to choose solutions that fit their operational, security, and scalability needs.
Zero-touch provisioning automates device onboarding, configuration, and software updates, reducing manual errors and deployment time. With io Canvas, IT teams can push configurations to hundreds of new switches or access points in minutes. For example, a financial services company rolled out new branch connectivity across 20 sites in a single day using template-driven zero-touch provisioning, ensuring consistent network policies and reducing operational overhead.
Enterprise platforms provide open APIs and interoperability for integration with IT infrastructure and third-party tools. HFCL’s io Canvas integrates with Network Access Control (NAC), AAA, Captive Portal, and external NMS tools. This allows organizations to create a unified ecosystem—for instance, combining IoT monitoring with existing security systems—enhancing operational efficiency while maintaining visibility, policy enforcement, and proactive network management.
AI-powered, predictive network management transforms reactive networks into self-optimizing, proactive systems. Platforms like io Canvas reduce downtime, automate repetitive tasks, and provide actionable insights for smarter decisions. Enterprises using predictive network management have seen up to 40% faster issue resolution and improved service reliability. By combining AI, automation, and centralized control, networks can scale efficiently, adapt to evolving business requirements, and deliver a superior end-user experience.
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