Telco

AI for subscriber care and for keeping the network running, without traffic data leaving your operator.

Every month brings a new intake of agents, and the subscriber explains the same fault for the third time while average handling time creeps up and cost per contact follows. Inferana puts that knowledge in front of the agent, inside your perimeter.

The rules that apply to you, point by point

What each regulation in your sector requires, and which part of that the deployment solves.

ePrivacy

Directive 2002/58/EC
What it requires

Confidentiality of communications and of subscriber traffic data.

How we solve it

Inference runs inside your perimeter, so no traffic data reaches a third party to be processed.

European Electronic Communications Code

Directive (EU) 2018/1972
What it requires

Security of networks and services, and clear, accurate contractual information for the subscriber.

How we solve it

Answers grounded in your current tariffs and terms, with an auditable record of every query handled.

NIS2

Directive (EU) 2022/2555
What it requires

Cybersecurity risk management, supply chain security and incident reporting.

How we solve it

A single auditable EU provider, with dedicated or on-premise deployment and service documentation for your risk assessment.

GDPR

Regulation (EU) 2016/679
What it requires

Minimisation, confidentiality and control over transfers of personal data.

How we solve it

Prompts and responses are never stored or used to train models, and inference stays in the EU.

Your most common use cases

The same ones you already use, specific to your sector.

See all use cases

AI is already in your contact centre.
Someone with a queue to clear put it there.

Every point of average handling time costs money, and the pilot went out the back door on whichever public API was at hand. What follows is always the same:

What happens today

I train new agents every month and by month six almost none are left.

Care training

The subscriber tells the fault three times before reaching whoever fixes it.

Care operations

We handle millions of contacts a month and per-token pricing scares me.

Financial control

Every billing dispute is reviewed by a person, line by line.

Billing

I have orders stalled three weeks and nobody knows at which step.

Service provisioning

The network lives in the head of the engineer who is about to retire.

Network operations

Traffic data cannot end up on somebody else's server.

Network security

With Inferana

A new agent looks up the current procedure mid-call, with the source in view, so they carry weight from week one.
The context of the contact travels with the ticket, with the history summarised for whoever picks it up at the next tier.
Flat rate: you can open AI to the whole subscriber base without the bill tracking volume.
The disputed bill is cross-checked against usage and the contracted terms, and reaches the reviewer with the gap flagged.
The order file is indexed, so the blocked step and the missing document come out of a single query.
Plans, runbooks and field notes indexed on your own infrastructure, with the source of each answer in view.
Inference on European infrastructure or in your own data centres, always inside your perimeter.

Sector FAQs

Flat rate. Cost does not move with the number of conversations, so you can open AI to the whole care operation without reworking cost per contact every month. With per-token pricing, the business case is tied to a volume that in customer care is never stable.

It stays wherever you decide: on European infrastructure we manage, or in your own data centres, on-premise. Prompts and responses are never stored or used to train models, so traffic data does not travel to a third party to be processed.

No. Our API is OpenAI-compatible: swap the key and the endpoint and the pilot keeps working, now inside your perimeter. What does deserve a separate look is which subscriber data has been sent so far and on what legal basis.

Yes, with the same key. There the query does go out to the model provider, so traffic and subscriber data are handled with the open models inside your perimeter. It is configured per team.

The service and deployment documentation: which functions it supports, where they run and with which dependencies. Classifying the service, folding it into your supply chain risk management and reporting incidents remain obligations of the operator.

The documents you already have: current tariffs, terms, process manuals and technical documentation. They get indexed and every answer comes out with its source. Keeping that base current stays the operator's job: if the old tariff is still in the repository, the system will quote it as valid.

Access control per user and per team, with a record of every query. A front-line agent and the network operations team work with different permissions, and security can review who asked what and when.

The models are open and the API is OpenAI-compatible: you can take the weights with you and point the code elsewhere by changing a key. Your indexes and your data are exportable.

Tell us what you want to deploy and we will show you where Inferana fits.

In the demo we go through your case: which models you need, where they run and what it takes to meet the regulation that applies to you.

We reply within one business day.