Technologies we use
Proven, maintainable technology chosen so your software keeps working, and stays affordable to change, for years.
Back end
| Technology | How we use it |
|---|---|
| Java 21 and Spring Boot | Core enterprise systems, ERP and transactional logic |
| Python | AI, machine learning, forecasting and data processing |
| Node.js | Lightweight services and real-time features |
Front end and mobile
| Technology | How we use it |
|---|---|
| React and TypeScript | Web applications and dashboards |
| Flutter | Android and iOS apps from one codebase, including offline-first apps |
Data
| Technology | How we use it |
|---|---|
| PostgreSQL and MySQL | Relational databases |
| TimescaleDB | Sensor and time-series data from plants |
| Redis | Caching and fast session data |
Infrastructure
| Technology | How we use it |
|---|---|
| Docker and Kubernetes | Packaging and orchestration on cloud or on-premise |
| AWS, Azure, Google Cloud | Cloud hosting in regions that meet data-residency rules |
| Monitoring | Uptime, error and performance monitoring |
Integration
| Technology | How we use it |
|---|---|
| REST APIs | ERP, banks, payment gateways and third parties |
| Tax and e-invoicing portals | India GST e-invoicing, Saudi ZATCA, Kenya eTIMS and others |
| Kafka and RabbitMQ | Messaging between modules and plant data streams |
| OPC UA, Modbus, MQTT | PLC, SCADA, weighbridges and sensors |
| Large language model APIs | AI assistants, document reading and natural-language reports |
Why Java for enterprise systems?
Java is the industry standard for reliable, high-volume business logic, with mature security, a large talent pool and long-term support, which keeps a ten-year codebase maintainable.
Why Python for AI?
Python has the strongest ecosystem for machine learning and data work, so AI services run alongside the Java core and exchange data through APIs.
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