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NetAI is redefining network operations for enterprises, service providers, and cloud platforms with the industry’s only AIOps platform built entirely on Graph Neural Networks (GNNs) and real-time knowledge graphs. Unlike legacy tools and black-box AI, NetAI delivers deterministic, explainable answers that provide clarity, speed, and confidence for the world’s most complex, multi-vendor networks. What sets NetAI apart: • Powered by patent-pending GNN algorithms and dynamic knowledge graphs, purpose-built for network topology, relationships, and causality • Deterministic root cause analysis and real-time event correlation—no guesswork, no probabilistic black-box answers • Transparent, auditable insights with full topology awareness and explainability • Flexible deployment options: on-premises, cloud, or hybrid, with no SaaS lock-in • Enterprise-grade security with customer data control and robust, encrypted integrations What NetAI empowers your team to do: • Resolve incidents in minutes, not hours, with over 90% reduction in MTTR • Eliminate alert fatigue through advanced noise reduction and automated, intelligent ticketing • Gain unified, real-time visibility across every device, vendor, and technology in your environment • Accelerate troubleshooting with dual-stage, graph-driven root cause analysis and fully customizable dashboards • Integrate seamlessly with ITSM tools such as ServiceNow, Jira, and BMC Remedy NetAI’s platform builds a living knowledge graph of your network, mapping every device, connection, and dependency in real time. This enables proactive detection, precise incident prediction, and future-ready automation. Trusted by leading ISPs and enterprises, NetAI improves uptime, optimizes resources, and delivers measurable ROI. Ready to move beyond black-box AI and legacy analytics? Discover the power of graph intelligence at www.netai.ai or contact info@netai.ai.

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Deepak Kakadia is the CEO Founder NetAI Inc. of NetAI.ai.

29 people are employed at NetAI.ai.

NetAI.ai is based in San Jose, California.

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