Subscriber-data sensitivity
Communications metadata and subscriber information are highly sensitive and regulated, limiting what can go to external AI.
Telecom operators sit on vast subscriber and network data and run essential services under NIS2. On-premises AI agents let carriers apply AI across network operations and customer workflows while keeping sensitive data inside the network.
For carrier CIOs, CTIOs, CISOs, and heads of network and customer operations.
Communications metadata and subscriber information are highly sensitive and regulated, limiting what can go to external AI.
As essential entities under NIS2, carriers must secure any AI they deploy and demonstrate resilience.
At carrier volumes, per-token AI pricing is punishing; flat, on-prem economics make large-scale deployment viable.
On-premises deployment keeps subscriber and network data inside the carrier’s environment, satisfies NIS2 security expectations, and — with flat platform pricing — makes AI economical at the volumes telecom operations generate. Agents can safely touch internal systems under RBAC and audit.
Security, access control, and logging support essential-entity resilience obligations.
Subscriber data and communications metadata stay in-region and in-perimeter.
Transparency and documentation controls for customer-facing and high-risk use.
High-value, low-risk workflows that prove the platform and keep sensitive data inside your perimeter.
Private retrieval over runbooks, configs, and incident history helps NOC engineers resolve faster, grounded in internal sources.
Agents assist care teams with grounded answers from internal knowledge under RBAC, with subscriber data staying in-network.
Agents draft and summarize provisioning and field work from internal systems, reducing manual effort under audit.
Agents help analysts assemble case context from internal data without sending sensitive records outside the carrier.
Flat platform pricing means cost does not scale per token or per run, so large-scale deployment across network and customer operations stays predictable — unlike metered AI pricing.
No. All retrieval and inference run inside your perimeter. Communications metadata and subscriber information stay in-network, under your existing controls.
We’ll tailor the deployment model, compliance mapping, and first workflows to your telecommunications environment — and walk your security and compliance leads through it.