APIs, microservices, and data infrastructure that power your mobile apps, web platforms, and IoT systems — built for scale, security, and reliability.
Every great frontend and mobile app relies on a rock-solid backend. We design and build the server-side systems, APIs, databases, and infrastructure that handle your business logic, data storage, user authentication, and third-party integrations.
Our backend engineers specialise in building systems that are secure by default, performant under load, and easy to maintain. We follow API-first design principles, document everything with OpenAPI/Swagger, and implement comprehensive monitoring and alerting. Whether you need a simple REST API or a complex event-driven microservices architecture — we deliver.
Discuss Your Backend Needs →Comprehensive backend and data engineering for any scale of application.
Custom RESTful and GraphQL APIs designed for your specific frontend and mobile needs. Third-party API integrations for payment gateways (PayFast, Yoco, Ozow), SMS (ClickSend, Twilio), mapping, and more. Full API documentation with OpenAPI/Swagger.
Relational (PostgreSQL, MySQL, SQL Server) and NoSQL (MongoDB, Redis, InfluxDB) database design. Schema optimisation, indexing strategies, replication, backups, and disaster recovery planning. Data migration from legacy systems.
AWS and Azure cloud architecture — compute (EC2, Lambda), storage (S3, RDS), networking, and security. Docker containerisation, Kubernetes orchestration, CI/CD pipelines, and infrastructure-as-code (Terraform, CloudFormation).
Intelligence built into the data layer — making your backend smarter, faster, and more capable.
Expose AI capabilities through well-defined APIs — image recognition, text analysis, language translation, sentiment analysis, and content moderation. Your frontend and mobile apps consume AI features without worrying about model hosting or inference infrastructure.
AI-enhanced ETL pipelines that clean, classify, and enrich data as it flows through your system. Automated data quality checks, duplicate detection, and anomaly flagging before data reaches your production databases.
Deploy vector databases (Pinecone, Weaviate, pgvector) alongside your relational data stores for semantic search, similarity matching, and RAG (Retrieval-Augmented Generation) pipelines. Power advanced search and recommendation features.
Low-latency model serving infrastructure using TensorFlow Serving, ONNX Runtime, or custom inference endpoints. Auto-scaling for traffic spikes. Model versioning, A/B testing, and monitoring for drift and accuracy.
Modern, battle-tested technologies for building robust backend systems.
Node.js (Express, Fastify, NestJS), Python (Django, FastAPI, Flask), Java (Spring Boot), C# (.NET Core), Go, PHP (Laravel). Event-driven with RabbitMQ, Kafka, or Redis Streams.
PostgreSQL, MySQL, MariaDB, SQL Server, SQLite for relational. MongoDB, CouchDB for document. Redis, Memcached for caching. InfluxDB, TimescaleDB for time-series. Neo4j for graph data.
AWS (EC2, Lambda, RDS, S3, API Gateway, Cognito), Azure (App Services, Functions, SQL Database). Docker, Kubernetes, GitHub Actions, GitLab CI, Terraform, Ansible.
OpenAI API, Azure OpenAI, Hugging Face, LangChain, LlamaIndex. Vector databases (pgvector, Pinecone, Weaviate). Model serving (TensorFlow Serving, BentoML, Ray Serve).
Backend and data infrastructure we've built for production systems.
Backend API and database system processing thousands of prepaid electricity transactions daily. Integrated with STS token generation, payment gateways, and municipal billing systems.
View case study →Big data backend processing millions of meter readings through statistical models. Real-time data ingestion, analysis pipelines, and automated alerting infrastructure.
View case study →Backend system handling offline data sync from hundreds of mobile devices, with conflict resolution, data validation, and real-time reporting dashboards.
View case study →Tell us about your project. We'll design infrastructure that scales.
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