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Telecom IconTELECOM

Telecom Software Development

Billing, OSS/BSS, network monitoring and fraud detection for MVNOs, regional ISPs, CPaaS providers and enterprises managing telecom spend, built for records that have to reconcile to the last call.

Telecom Architecture Ecosystem
OSS/BSSTM Forum Open APIsReal-time ratingSIP & VoIP
Fraud detection

TRUSTED BY TEAMS

letest.ai
Propmodel
aloomah
yeeld
Nostromarkets
Pharmy
/// INTRODUCTION

Sodio builds telecom software: custom billing systems, rating engines, OSS/BSS integration, MVNO management platforms, CPaaS infrastructure, network monitoring dashboards, VoIP applications and telecom fraud detection systems, alongside AI models for churn prediction, anomaly detection and revenue assurance.

Telecom software runs at a volume and precision most systems never face. Millions of usage records a day have to rate correctly against rules that interact in ways nobody fully documented, and fraud losses happen in minutes rather than days.

Telecom Tower

/// WHAT MAKES TELECOM SOFTWARE DIFFERENT

Every Record Has to Reconcile

Telecom Infrastructure Tower
01/

The Established Platforms

Telecom is one of the few sectors where the software is the product. A billing error is not an inconvenience — it is a regulatory complaint, a refund, and a customer who ports out. Network monitoring that misses a fault is an outage the operator learns about from its own subscribers.

02/

Billing Is Harder Than It Looks

Billing is harder than it looks from outside. Usage-based charging, bundles, roaming, mid-cycle plan changes, discounts and taxes all interact, and every combination has to rate correctly across millions of records. Most billing errors are edge cases nobody tested — a promotional bundle expiring mid-month, a prorated downgrade, a partial refund. We build test suites around those rather than around the typical invoice, and we plan parallel running before any billing cutover.

03/

Fraud Runs on a Different Clock

Fraud runs on a different clock. SIM swap, international revenue share fraud and Wangiri callbacks do their damage in minutes, often overnight or at weekends when nobody is watching. Detection that reviews yesterday’s records is detection that has already paid out. Scoring has to happen as events arrive.

04/

The Existing Stack Stays

And the existing stack is not going anywhere. Operators run core platforms they will not replace, and our work sits alongside them — connected through TM Forum Open APIs where they exist, and through file-based or database integration where they do not.

/// TELECOM SOLUTIONS

Telecom Software We Build

Telecom Software Development

Telecom Software Development

Telecom Billing Software

Telecom Billing Software

OSS/BSS Development

OSS/BSS Development

Network Monitoring Software

Network Monitoring Software

Telecom Expense Management

Telecom Expense Management

Telecom CRM

Telecom CRM

CPaaS Platform Development

CPaaS Platform Development

VoIP App Development

VoIP App Development

MVNO Platforms

MVNO Platforms

Telecom Analytics

Telecom Analytics

Gradient

///SHARED WITH WEARABLES & IOT

5G and Connected Devices

5G applications, low-latency streaming and connected device fleets

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Gradient

///AI FOR TELECOM

AI for Telecom

Operators already collect more data than almost any other business and act on very little of it. These are the models that turn it into recovered revenue, retained subscribers and fraud stopped before it pays out.

SIM swap, subscription fraud, IRSF and Wangiri detection, stopping the loss while the call is still in progress.

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Which subscribers are about to leave, and the offer most likely to keep them, before the port-out request arrives.

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Unbilled usage, rating errors and missed charges found and recovered, rather than written off at year end.

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Faults and degradation caught from network telemetry before customers notice and call.

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Where generative AI genuinely helps operators — support, documentation, configuration — and where it does not.

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Call deflection, suggested responses and account context for agents, in some of the largest support operations anywhere.

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Traffic growth predicted by cell, site and route, so investment arrives before congestion does.

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///TELECOM TECH STACK

Standards and Systems We Work With

/// Interoperability
TM Forum Open APIs
TM Forum Open APIs
eTOM
eTOM
SID frameworks
SID frameworks
/// Voice & messaging
SIP
SIP
RTP
RTP
WebRTC
WebRTC
SMPP
SMPP
SMS and voice API integration
SMS and voice API integration
/// Billing & rating
Real-time and batch rating
Real-time and batch rating
CDR processing
CDR processing
Prepaid and postpaid
Prepaid and postpaid
Tax engines
Tax engines
/// Network data
SNMP
SNMP
NetFlow
NetFlow
Streaming telemetry
Streaming telemetry
Alarm and event correlation
Alarm and event correlation
/// Existing platforms
Amdocs
Amdocs
Ericsson
Ericsson
Netcracker
Netcracker
Similar core stacks
Similar core stacks
/// Backend & data
Node.js
Node.js
Python
Python
Go
Go
Kafka
Kafka
PostgreSQL
PostgreSQL
Time-series storage for high-volume records
Time-series storage for high-volume records
/// AI & modelling
PyTorch
PyTorch
Real-time fraud scoring
Real-time fraud scoring
Churn models
Churn models
Anomaly detection on network telemetry
Anomaly detection on network telemetry

/// HOW WE WORK

How We Work on Telecom Projects

STEP 1

Stack and data audit

We map the existing platforms, what each exposes, and the volume and shape of the records involved. For billing work we collect the edge cases before anything else.

STEP 2

Free solution architecture

Integration approach per system, data model, rating and reconciliation design, and a costed plan including parallel running where billing is involved. Yours to keep either way.

STEP 3

MVP in 30 days

One flow end to end against real records at realistic volume — not a demo dataset that hides the edge cases.

STEP 4

Production build in 90 days

Full build with monitoring and reconciliation. Billing changes run in parallel with the existing system before cutover.

///FEATURED CASES

Future-Proof Software for Your Business

At Sodio, we deliver mobile apps, web apps, blockchain (DApps), AI integrations, SaaS platforms, and custom software development. Our innovative solutions are scalable, secure, and user-friendly, designed to drive growth and efficiency, keeping your business ahead in the competitive landscape. Trust Sodio for your digital transformation needs.

Rypto Carbon

Rypto Carbon

Rypto Carbon, a decentralized blockchain platform enabling transparent trading and tokenization of carbon credits

Carbon CreditDEXBlockchain
View Detail

/// FAQ

Frequently Asked Questions

No, and we will not pretend to. Tier-one operators run platforms from those vendors, and replacing them is a multi-year programme we would not recommend. We work with MVNOs, regional ISPs, CPaaS providers and enterprises managing telecom spend — and with larger operators on specific systems that sit alongside the core stack rather than replacing it.

By scoring events as they happen rather than reviewing them afterwards. SIM swap fraud, international revenue share fraud, Wangiri callbacks and subscription fraud each leave distinct patterns in call records, account changes and payment behaviour. Models flag high-risk activity for blocking or review in near real time. Most fraud losses happen in a short window, which is why speed matters more than accuracy at the margin.

Because the rules are harder than they look. Usage-based charging, bundles, roaming, prorated plan changes, discounts and taxes interact, and every combination has to rate correctly across millions of records. Most billing errors are edge cases nobody tested — a mid-cycle plan change, a promotional bundle expiring, a partial refund. We build test suites around those edge cases rather than around the typical invoice.

Usually. Most platforms expose APIs, and the TM Forum Open APIs have made integration considerably more consistent than it was. Older systems sometimes mean file-based or database integration instead. We establish what your specific stack exposes during discovery rather than assuming from vendor documentation.

Accurate enough to change who gets a retention offer, which is the point. Models built on usage trends, billing issues, support contacts, contract dates and network experience identify at-risk subscribers well before they port out. The value is not in predicting churn perfectly — it is in spending the retention budget on the subscribers who were actually going to leave.

For a defined scope we target a working MVP in 30 days and a core production build in 90. Telecom extends when regulatory approval, host network integration for MVNOs, number porting or billing migration are involved. Billing migration in particular needs parallel running before cutover, and we plan that time in rather than discovering it.

/// RELATED SERVICES

Related Industries and Services

Industries and services that complement telecom software development.

/// GET STARTED

Start With the Records

Tell us which platforms you run and where billing, fraud or network visibility is costing you. We will prepare a free solution architecture covering integration with your existing stack, data design and delivery phases, so you can judge the approach before committing.

Contact Us