This is like giving your network’s AI "eyes and ears" everywhere so it can safely act on its own. Instead of many separate monitoring tools, you get one unified view of how the telecom network is behaving, so autonomous AI agents and automation workflows always have the full picture before they make changes.
Telecom operators are trying to introduce agentic AI and advanced automation, but today their network data is fragmented across multiple tools and domains. That fragmentation causes blind spots, limits safe autonomy, and slows down troubleshooting and optimization. A unified visibility layer consolidates telemetry and performance data so AI/automation can operate reliably end‑to‑end.
Deep domain expertise and data models for telecom networks, plus integration across multiple network domains and vendors, create a sticky data/observability layer that becomes the control surface for future AI and automation.
Hybrid
Vector Search
Medium (Integration logic)
Correlating and storing high-volume, multi-domain telecom telemetry data in a way that remains queryable and low-latency for AI agents and automation workflows.
Early Adopters
Positions unified, cross-domain network visibility explicitly as a prerequisite and enabler for agentic AI in telecom operations, rather than treating observability and AI/automation as separate stacks.