AI-Driven Use Cases for Network and Business Environments
Move from AI experimentation into live autonomous network operations with security, governance, and lineage built-in
Ocient delivers the unified data, AI enablement, and deployment flexibility required to operate autonomous networks securely and at scale.
Ocient ingests and queries massive network and subscriber datasets close to the source, while securely exposing governed data products through SQL and APIs. As data volumes grow, customers unlock increasing value, ensuring AI agents can reason over high-velocity, full-resolution data while reducing data movement, latency, and cost.
AI-ready data products provide trusted context for autonomous agents and applications. Built-in governance, lineage, access controls, and data quality – paired with a semantic layer and knowledge graph – enable agents to reason, query, and act confidently in live network environments.
Run AI and analytics where they deliver the most value – on premises, at the edge, or in the cloud. Ocient’s hybrid operating model keeps processing efficient on premises while securely publishing to cloud analytics and AI/ML platforms with policy, lineage, and data quality preserved end to end.
Ocient empowers CSPs to analyze full-resolution network, subscriber, telemetry, and geospatial data in real time. With consistent, governed context available to applications and autonomous agents, operators unlock new services, improve customer experience, and meet regulatory obligations with confidence.
Unified data foundation for AI and analytics at telecom scale
Real-time and historical analytics on a single operating layer
Agentic-ready architecture with built-in governance and control
Predictable economics as AI workloads scale
Flexible deployment: on-premises, hybrid, or public cloud
Ocient’s Next-Gen AI-Driven Solutions for CSPs
Ocient delivers an operating layer purpose-built for real-time, agentic workloads. By delivering a unified data foundation with predictable economics, Ocient enables agentic and autonomous workloads to reuse data sets for autonomous systems and use cases from a single data platform.
Enable real-time configuration, optimization, and self-healing in large-scale production environments.
• Support live, autonomous network operations at telecom scale
• Reduce operational cost through agentic automation
• Improve reliability and service quality with real-time intelligence
Deliver AI-driven threat detection, lawful disclosure, and geospatial intelligence in seconds using unified analytics and industry-compliant data retention.
• Near-real-time threat detection and response
• Native geospatial analytics for mapping and correlation
• Secure, cost-efficient data retention and disclosure
Unify siloed usage, network, and billing data to prevent revenue leakage and ensure billing accuracy at scale.
• Continuous revenue assurance through real-time reconciliation
• Support modern B2B2X, wholesale, 5G, 6G, and IoT business models
Unify device, network, and business data on a single platform to enable AI-driven analytics from device to outcome.
• Fast query and response times at telecom scale
• Full-resolution data without sacrificing retention or governance
Retain and analyze full-resolution logs, metrics, and metadata at scale to support AI-driven threat hunting and feed downstream observability and security platforms with cost-effective, query-ready datasets.
