Banyan Intelligence offers a platform for evaluating and monitoring AI agents used in network operations, providing built-in and custom metrics such as accuracy, latency, and instruction compliance. By tracking performance trends and root‑cause analysis, it helps telecom engineers save 15–20 minutes daily, enabling faster issue response and more proactive network optimization.
Funding
Funding not disclosed
Founders
Product
Problem
Telecom network operators struggle to monitor and improve the performance of AI agents that automate network operations, leading to inefficient troubleshooting, delayed issue response, and suboptimal network optimization.
Solution
Banyan Intelligence offers a platform that lets engineering teams evaluate AI agents with built‑in metrics such as accuracy, latency, and instruction compliance, while also supporting custom metrics tailored to telecom use cases. The system records root‑cause identification, response times, and protocol adherence, and visualizes performance trends across evaluation runs. By automating metric collection and analysis, the platform frees 15–20 minutes of daily effort for network teams, enabling faster service issue resolution, proactive network optimization, and more effective customer engagements.
Target Audience
Primary customers are network operations and engineering teams at telecom service providers and equipment manufacturers that deploy AI‑driven automation for network management.
Features
- Predefined evaluation metrics for AI agents including accuracy, latency, and instruction compliance
- Ability to define and integrate custom metrics specific to telecom network operations
- Automated tracking of root‑cause identification, response times, and protocol adherence
- Trend analysis dashboards that display performance changes across evaluation cycles
- Integration hooks for existing network management and observability tools