Sold by: NetoAI Solutions Limited
Low Code Multi Agentic AI platform specifically designed for Telecom with Seamless Integration with OSS/BSS systems. The Platform has 40+ Pre-built AI Agents supporting Customer Life Cycle (Sales, CPQ, Marketing, Billing, Trouble Shooting, etc) and Network Life Cycle (Network Planning & Design, Configuration, RCA, Service Delivery, Service Activation etc) across B2B and B2C
Overview
NetoAI's ViNG is Multi-agentic AI platform with 40+ purpose-built agents across the customer and network lifecycle. It supports both voice and text in 30+ languages, coordinating work through intelligent multi-agent orchestration. A built-in governance module gives you full oversight of every AI agent — monitoring accuracy, customer sentiment scores, and usage in real time — with self-learning capabilities that continuously improve performance. With 56+ ready connectors to leading BSS/OSS and enterprise applications, including Salesforce, HubSpot, WhatsApp, Slack, Jira, and ServiceNow, ViNG plugs directly into your existing stack to automate and elevate operations end to end. Implementation and managed services for AI-powered ViNG Agentic AI Platform on AWS. Services include solution deployment and configuration and ongoing support, utilizing AWS services including Amazon Bedrock, Amazon EKS, Amazon RDS, Amazon S3, Amazon EBS, and Amazon EC2.
Highlights
- Network Use Case - AI-Enabled Proactive Alarm Detection Proactively prevents network disruptions by forecasting critical alarms before they are triggered, using real-time and historical data from alarms, faults, performance metrics, and engineering activity. This data-driven foresight improves uptime and significantly reduces incident escalations Results - 80% Alarms Predicted Before Trigger 92% Precision 50% Reduction in Critical Incidents
- Sales Use Case - Autonomous Customer Operations An intelligent, multilingual agent accessible via web, mobile, and call center that handles product recommendations, offers, billing queries, and L1 support for ensuring consistent, context-aware experiences across all customer journeys, reducing wait times, improving self-service adoption, and conversion, and efficiency at scale. Results - 30% Improvement in Call Deflection 12% Increase in TopLine Revenue 40% Improvement in Call Handling time
- Product Use Case - Intelligent Product Configuration & Pricing Delivers AI-curated insights from live data on competitor features, pricing, and launches, tailored for your region and segment, while performing pricing model and creating product model & configuration templates to seamless integrate with MDM/ CRM application to speed up the time to market Result 70% Faster Competitive Response 95% Insight Accuracy 30% Reduction in Manual Research Effort
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