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SOVEREIGN AI FOR TELCO

Data and AI for telco

Telcos carry enormous operational and customer data, and the pressure to cut cost-to-serve and churn while doing more with AI. We deploy sovereign AI and analytics inside your environment.

CHALLENGES

Industry Challenges

Cost-to-serve and churn pressure that generic cloud AI cannot help with because your customer data cannot leave.

Call and network intelligence that never quite becomes a decision.

Commercial questions blocked by a data backlog nobody can clear.

Sovereignty and governance obligations that rule out shipping customer data to a vendor.

HOW WE HELP

Our Services for Telco

We deploy agents that answer commercial questions on your own data. Xavier runs on your data, under your governance, at a fraction of the cost of a general cloud platform.

We build the platforms that make call, network and customer analytics fast and trustworthy, designed for the volume and velocity a telco produces.

We build the semantic and context layers that let agents reason about your metrics correctly: the difference between a 50%-accuracy agent and a 95%+ agent.

We run analytics and delivery alongside your team, augmented by agents, so you get senior capability without carrying the full cost of building it internally.

FAQ

Common questions

How is AI used in telco?

In telco, AI and data work drives call and network intelligence, churn and customer analytics, and agents that answer commercial questions on the operator’s own data. The value is doing this on sovereign, governed data rather than shipping customer information to a vendor cloud.

Can AI run on our data without it leaving our environment?

Yes. Xavier and our agents deploy inside your environment, on-premise or in your private cloud, under your governance. For a major Australian telco, Xavier answered commercial questions on their own data at 98%+ accuracy with 5x fewer tokens than a tier-1 cloud-native platform.

How do you cut the cost of AI at telco scale?

Context optimisation. Xavier uses 5x+ fewer tokens per question than a general cloud platform, and more again on open-weight models, so cost and latency stay predictable across millions of questions.

EXPLORE MORE

Related Industries

GET STARTED

Discuss your telco challenges

Book a call and we’ll show you sovereign AI agents answering questions on your own telco data.