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Service

Telecom and messaging AI

AI for SMS, voice and messaging platforms: traffic classification, abuse detection, support agents and provisioning automation, from people who ran the systems.

The problem

Messaging and voice platforms produce more events than any team can read: traffic to classify, abuse to catch, tickets to answer, numbers to provision. Hand-written rules age badly.

What we deliver

Traffic and abuse classification tuned to your routes, with review queues for your operations team.

Support agents grounded in your documentation and account data, with escalation to a person.

Provisioning and compliance automation for number ordering, sender registration and KYC checks, with an audit trail.

Operations copilots for incident summaries, routing suggestions and anomaly alerts.

Integration with SMPP, SIP, CPaaS APIs, billing and CRM.

How we work

  1. Audit the event flow: where the volume is and what a wrong decision costs.
  2. Evaluate on real traffic with known outcomes.
  3. Deploy in shadow mode first, then enforce with review queues.
  4. Operate or hand over. Dashboards, runbooks and retraining procedures.

Where this comes from

We built virtual-number and messaging products and worked with iproxy.online, which runs mobile proxies on Android phones. We solved these problems for ourselves first.

Questions

What telecom experience do you have?

Years of building and operating messaging and virtual-number platforms, mobile proxy infrastructure, and the billing and provisioning systems behind them. We know SMPP, SIP, carrier routing, number inventory and the fraud patterns that come with them.

What are the common AI use cases in messaging?

Classifying and filtering traffic for spam, phishing and grey routes, detecting account abuse early, answering support and onboarding questions from your own documentation, automating number provisioning and KYC checks, and summarising incidents for the operations team.

Can you work with our existing stack?

Yes. We integrate with SMPP gateways, SIP infrastructure, CPaaS APIs such as Twilio and Vonage, and your own billing and CRM. The AI layer sits beside your systems.

How do you handle latency and volume?

Classification runs on small, fast models or fine-tuned classifiers where milliseconds matter. Larger models are reserved for the small share of traffic that needs judgement. We design for your peak throughput.

Where we have done this

Technology partner

iproxy.online

An app and platform that turns Android phones into private 3G, 4G and 5G mobile proxy servers. We worked on the app and the platform around it.

About iproxy.online