B-YOND provides an AI‑driven network diagnostics platform for mobile operators, automating root‑cause analysis and issue resolution to cut escalations, reduce outages, and lower operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Mobile operators face increasingly complex network environments where troubleshooting relies on manual packet capture (PCAP) analysis, leading to prolonged escalations, frequent outages, and high operational costs. Retaining skilled engineers for repetitive diagnostics diverts talent from strategic initiatives, reducing overall network agility.
Solution
B-YOND offers an AI‑driven diagnostics platform that automates root‑cause analysis for mobile network incidents. The system ingests telemetry and PCAP data, applies machine‑learning models trained on telco-specific fault patterns, and generates actionable remediation recommendations. By handling up to 70% of incidents autonomously, the platform shortens time‑to‑resolution and minimizes the need for war‑room escalations. Senior engineers receive concise incident summaries, allowing them to focus on high‑value projects while maintaining optimal network performance. The solution integrates with existing OSS/BSS tools, delivering real‑time insights without disrupting established workflows.
Target Audience
Primary customers are network operations and engineering teams at Tier‑1 mobile operators in North America and Europe seeking to improve troubleshooting efficiency and reduce operational expenses.
Features
- AI models optimized for telco network engineering that automatically parse and correlate PCAP and telemetry data
- Incident Co‑Pilot interface that presents root‑cause hypotheses and step‑by‑step remediation actions
- Automated resolution of routine faults, reducing manual diagnostics workload by up to 70%
- Seamless integration with common OSS/BSS platforms via APIs for real‑time incident ingestion and reporting
- Dashboard visualizations of network health, escalation trends, and cost‑savings metrics