Telecom software development for scale with subscriber growth
Legacy billing misses fraud until quarterly audits reveal losses. Manual reconciliation can't track millions of subscribers. Monolithic platforms force maintenance windows operators can't afford. DNA Solutions builds telecom software catching revenue leaks in real-time. Proven with T-System and Deutsche Telekom. Processing substantial daily volumes with Deloitte-audited accuracy.
Trusted by Europe’s
leading organizations
Honest assessment before commitment. Solutions designed for real business results our clients can track in real time. We deliver work grounded in reality, anticipating the problems every project encounters.
That’s why Europe’s leading organizations rely on us to modernize their digital ecosystems.
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Let number speak for DNA Solutions
At DNA Solutions, we design technology around your business goals, not the other way around. Our enterprise clients rely on us to reduce operational costs, improve system efficiency, and ensure infrastructure resilience.
From cutting licensing costs to enabling zero-downtime migrations and AI-powered scalability, we deliver measurable impact through smart, goal-driven engineering.
Annual savings for one client
By optimizing Oracle licensing for a major European organization, we delivered over €1M in yearly cost savings.
Monthly invoices processed
We built and maintain a Deloitte-audited billing platform processing €250M in transactions every month.
Years of IT expertise
Our experience spans the design of mission-critical systems for Oracle, Mobistar, and telecoms across India, Dubai, and Europe.
Downtime
We ensure seamless cloud migration with zero incidents and uninterrupted operations.
Telecom networks run on trust ... and revenue assurance.
DNA Solutions built processing hundreds of thousands of euros daily. Independent Deloitte audits validated transaction accuracy where revenue errors mean real financial impact. Production experience maintaining these systems taught us where telecom actually breaks. Event-driven architecture prevents data loss during surges. Microservices scale components independently. Monitoring catches anomalies before quarterly reconciliation reveals problems.
Real-time systems built for telecom demand.
Sub-second transaction responses aren't optional at telecom scale. Billing errors compound into revenue problems. API integrations connecting network equipment, CRM, payment gateways can't fail during peak traffic.
Testing reveals what production actually needs, not what requirements assumed. Agile sprints validate before committing budgets. Kafka handles message surges polling systems can't. AWS scales automatically when subscriber growth spikes. Documentation transfers knowledge so teams own platforms, not depend on consultants forever.
Our telecom IT services
Comprehensive electronic toll collection solutions from transaction capture through revenue assurance. Toll management solutions address the complete operational lifecycle, not point solutions requiring extensive integration work.
Revenue assurance for telecom operators
Billing processing subscriber charges in real-time, not batch overnight. Convergent systems consolidating voice, data, SMS without reconciliation chaos. Prepaid balances updating instantly preventing service abuse.
What we build:
- Usage rating calculating charges during consumption
- Multi-service billing ending separate invoice headaches
- Account management handling millions of subscribers
- Payment integration supporting actual customer preferences
- Revenue assurance detecting patterns manual audits miss
- Automated collections reducing write-offs
- Integration connecting billing to provisioning, CRM, network systems
Built for operators processing massive volumes. Architecture handles traffic spikes without degrading. Components scale independently when subscriber growth hits unexpectedly.
OSS for network management
Operations systems monitor network performance, manage provisioning, detect faults, optimize resources. Inventory management tracks equipment configuration, fault systems detect issues before customer impact, automation reduces manual work.
Capabilities:
- Network inventory and configuration tracking
- Automated fault detection with alerts
- Service provisioning workflows
- Performance monitoring and capacity analysis
- Workforce management for field operations
- Service quality assurance
- SNMP, NetFlow, API integration
Development informed by maintaining systems where visibility prevents outages. Real-time monitoring, event correlation, automated remediation reducing resolution time.
Telecom API and integration platforms
APIs expose network capabilities, billing functions, subscriber management enabling partner integration and mobile applications. RESTful interfaces provide programmatic access, management platforms handle authentication and rate limiting, webhooks enable real-time notifications.
Capabilities:
- RESTful API for telecom services
- API gateway with authentication and monitoring
- WebSocket and webhook integration
- Payment gateway connections
- CRM synchronization
- Network equipment APIs
- Developer portal with documentation
Development backed by connecting platforms with payment providers, ERP systems, third-party services. Architecture handles requirements telecom APIs demand.
Machine learning automation & optimization
Machine learning optimizes networks, predicts failures, detects fraud, personalizes experiences. Network optimization analyzes traffic allocating resources dynamically, predictive maintenance anticipates hardware issues, churn prediction identifies at-risk subscribers.
Capabilities:
- Network optimization through traffic analysis
- Predictive maintenance reducing downtime
- Fraud detection identifying unusual patterns
- Churn prediction from behavior analysis
- Chatbot development for automated support
- Recommendation engines for plans
- Custom model development
AI development backed by production deployments processing substantial volumes. Addresses data quality, model monitoring, accuracy tracking.
NFV, SDN, and cloud infrastructure
Cloud-native platforms enable Network Function Virtualization replacing hardware with software, Software-Defined Networking centralizing control, containerized deployments enabling rapid scaling. Infrastructure reduces capital expenditure, accelerates deployment, enables elastic resources.
Capabilities:
- Network Function Virtualization (NFV)
- Software-Defined Networking (SDN)
- Docker and Kubernetes orchestration
- Microservices architecture
- AWS or Azure multi-region deployment
- Auto-scaling for traffic surges
- CI/CD automation
Development informed by migrating systems maintaining operations. Phased approaches validate before legacy retirement.
The questions telecom operators ask before building software
We built billing platforms for T-System and Deutsche Telekom processing hundreds of thousands of euros daily. Deloitte audits validated accuracy when errors mean real losses.
Production experience taught us where telecom systems actually break. Surge loads exposing architecture weaknesses. Data loss from poor event handling. Scaling nightmares from monolithic design. Revenue leaking through monitoring gaps. Fraud patterns invisible to manual review.
Maintaining systems where downtime stops revenue shaped how we build. Phased rollouts catching problems early. Compliance designed in from inception, not retrofitted later. Security protecting subscriber data properly. Monitoring showing system health before cascading failures.
We communicate honestly when complexity emerges. Timeline adjustments beat rushed mistakes. Complete knowledge transfer means your teams own platforms, not depend on us indefinitely. Partnership beyond launch, not handoff and disappear.
Machine learning optimizes what manual management can't scale to handle. Traffic analysis allocating bandwidth dynamically across millions of subscribers. Equipment monitoring predicting hardware failures before service degradation. Fraud detection catching patterns evolving faster than rule updates.
Network optimization analyzes traffic flows in real-time, routing around congestion automatically. Predictive maintenance schedules equipment servicing during low-traffic periods, not emergency repairs during peaks. Churn prediction identifies at-risk subscribers early enough for retention campaigns.
Traditional management requires constant manual intervention. AI-powered systems detect anomalies instantly, adjust configurations automatically, resolve common issues without human involvement. Predictive models identify capacity constraints before customer complaints spike.
Implementation reality: clean historical data matters more than sophisticated algorithms. Real-time telemetry integration enables instant decisions. Model monitoring catches accuracy degradation before performance suffers. Documentation enables telecom teams maintaining systems as network conditions evolve.
Cloud migration timeline depends on infrastructure complexity, regulatory requirements, data volumes, organizational readiness. Simple BSS components migrate in months. Complete core network virtualization spans years.
Assessment phase reveals actual complexity: hidden system dependencies, data quality issues, integration nightmares, compliance constraints shaping strategy. Phased approaches migrate functionality incrementally, validating each component before proceeding.
Network Function Virtualization replaces hardware gradually. Software-Defined Networking centralizes control plane migration. Containerization enables consistent deployment across environments. Parallel infrastructure runs old and new simultaneously during transition, comparing outputs proving functional equivalence.
Zero-downtime requires database replication maintaining synchronization. Gradual traffic shifting between platforms. Rollback procedures ensuring service continuity if problems emerge. Comprehensive testing validating all workflows before production cutover.
Realistic estimates for major operators: 12-18 months for BSS migration. 24-36 months for complete NFV/SDN transformation. Complexity discovered during implementation extends timelines. Transparency about challenges prevents rushed decisions compromising quality.
Billing development creates platforms processing subscriber usage, calculating charges, generating invoices, handling payments, reconciling revenue. Real-time rating engines calculate charges during service consumption based on plan rules. Convergent billing consolidates voice, data, SMS into unified invoices. Prepaid systems manage balance depletion preventing service abuse.
Requirements gathering identifies rating rules complexity, pricing plan variations, tax calculation requirements, payment method support, reconciliation workflows. Architecture addresses transaction volume scaling, real-time processing latency, integration with network equipment capturing usage, CRM systems maintaining subscribers, payment gateways processing transactions.
Agile methodology delivers working billing features incrementally, validating assumptions through operator testing before major investment. Integration connects billing with mediation systems capturing network usage data, provisioning systems activating services, CRM maintaining subscriber information, payment gateways processing transactions reliably.