Technology Stack

Our stack reflects how we actually build — cloud-native, containerised, and designed for harsh field conditions. We choose proven tools and integrate AI where it removes real work for operators and supervisors, not where it makes demos look flashy.

Cloud & Infrastructure

  • AWS
  • Docker
  • RabbitMQ
  • Grafana
  • Nginx
  • PrivateLink VPC
  • Endpoint Services

Backend

  • Java
  • Python
  • Django
  • FastAPI
  • Dart
  • TimescaleDB
  • PostGIS
  • pgVector
  • FAISS
  • PostgreSQL

Frontend & Mobile

  • Angular
  • Flutter
  • iOS
  • Android

AI & Machine Learning

  • Custom ML models
  • RAG pipelines
  • Claude
  • Mistral
  • OpenAI
  • Textract

Security & Device Management

  • SACSA
  • ROMS Console
  • IBM MaaS360
  • WebAuthn / Passkeys
  • Biometrics

Cloud-native, containerised, field-ready

We deploy on AWS with Docker, use message queues for reliable async processing, and monitor with Grafana. AI capabilities — RAG pipelines, custom ML models, and LLM integrations — are built into ROMS where they remove real work for operators, not where they make demos look flashy.