The Platforms Behind Other People's Banking Apps

Comviva builds the FinTech, MarTech and DigiTech platforms that telecom operators, banks and enterprises run their own products on. Software that ships as someone else's service, deployed across more than 100 countries, where every customer is a different regulator, currency and integration surface.

Build Your Enterprise Platform

About the Project

Comviva, a Tech Mahindra company, builds digital platforms for the telecommunications, financial services and enterprise sectors across FinTech, MarTech, DigiTech and RevTech. Its mobiquity platform underpins digital payments and mobile money services, and the company states that its solutions serve more than 200 organisations across over 100 countries.

Telecom, FinTech and Enterprise Platforms

Platform software sold to operators and financial institutions, where the buyer is an enterprise and the end user belongs to that enterprise, not to Comviva.

Telecom
Digital Payments
Enterprise Software

mobiquity — digital payments and mobile money, deployed by operators and banks

Comviva describes mobiquity Pay as an AI-powered, cloud-native digital payments platform, deployed by communications service providers and financial institutions as the engine behind their own branded wallets and money services.

Digital Wallets
Mobile Money
Merchant Payments
Cloud-Native Deployment

FinTech, MarTech, DigiTech and RevTech under one platform business

Payments and financial services sit alongside marketing technology, digital customer experience and revenue management — different products bought by different parts of the same operator.

FinTech
MarTech
DigiTech
RevTech

More than 200 organisations, deployments in over 100 countries

Comviva's own published scale as a Tech Mahindra company, serving communications service providers and enterprises worldwide.

200+ Organisations
100+ Countries
Tech Mahindra Group

Java and Spring Boot services with Kafka streaming, Oracle and AWS

The stack recorded for this project: JVM services for long-lived enterprise systems, Kafka for event streaming between them, Oracle for transactional data and AWS for deployment.

Java
Spring Boot
Kafka
Oracle
AWS

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Scope a multi-tenant platform, payments system or enterprise integration programme.

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Platform Software Is Judged by How Well It Bends to Each Customer

Selling a payments platform to operators in dozens of countries means the same codebase has to satisfy dozens of regulators, currencies and existing systems.

One codebase, many markets

Each deployment brings its own regulatory regime, currency handling, language and local payment rails. Forking per customer is how a platform business dies; configuring per customer is the only version that scales.

Money in transit

A payments platform cannot lose, duplicate or reorder a transaction. That constraint reaches every layer — messaging, storage, retries and reconciliation — long before any feature is discussed.

Someone else's brand

End users see the operator's app, not the platform underneath. Failures are the operator's reputation, which raises the bar for stability and for the diagnostics the operator's own teams need.

One platform,
hundreds of enterprise deployments,
across more than 100 countries

Build Your Platform Product

How Platform Engineering Works Here

Multi-Tenant by Construction

Multi-Tenant by Construction
- A platform sold to many operators has to isolate each tenant's data, configuration and release cadence on shared foundations
- Market differences are expressed as configuration rather than as forks, which is what keeps one codebase serviceable across regions
- Java and Spring Boot services suit this shape: long-lived, independently deployable, and familiar to the enterprise teams who operate them
Event Streaming Between Systems

Event Streaming Between Systems
- Kafka carries events between services so payment, notification, ledger and analytics paths stay decoupled
- Streaming gives replay: a downstream system that falls behind or fails can be brought back without re-driving the source
- Ordering and idempotency are designed in, because a retried payment event must not become a second payment
Transactional Integrity

Transactional Integrity
- Oracle carries the transactional core, where correctness under concurrency outranks raw throughput
- Reconciliation is treated as a product surface, not an internal batch job, because operators have to answer for every balance
- The audit trail has to satisfy the operator's regulator, not just the platform's own support team
Integrate With What the Customer Already Runs

Integrate With What the Customer Already Runs
- Every deployment lands beside existing billing, core banking, CRM and network systems that are not going to be replaced
- Integration surface is the real delivery cost in enterprise platform work, and it is different for every customer
- AWS deployment supports the cloud-native direction Comviva describes for its payments platform

What This Build Demonstrates

Engineering for platforms other businesses depend on.

Enterprise Delivery Discipline

Working inside a Tech Mahindra platform business means enterprise release process, security review and integration with systems that predate the project — the constraints most product teams never meet.

Event-Driven at Transaction Scale

Kafka between services is chosen for decoupling and replay, with ordering and idempotency treated as correctness requirements rather than tuning parameters.

JVM Systems Built to Be Operated

Java and Spring Boot services are built for teams who will run them for years, which puts observability, upgrade paths and configuration ahead of novelty.

Payments Correctness First

In money movement, a system that is fast and occasionally wrong is worthless. Transactional integrity and reconciliation shape the architecture before performance does.

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