Technology
The technology behind the work.
Ecosystem
One engineering ecosystem.
Hover or tap a domain to see the technology behind it.
ABRAH
Engineering
Technology areas
Five areas, one stack.
The languages, platforms and tools our engineers use every day - chosen for the problem, not the trend.
- 01
AI & machine learning
Models that are evaluated, monitored and governed in production.
Generative AI · Large language models · RAG · Multi-agent systems · Computer vision · Machine learning · MLOps
- 02
Industrial & edge
Connecting machines and running AI where the data is generated.
PLC · SCADA · MQTT · OPC UA · Industrial IoT · Edge inference · ROS 2 · Digital twins
- 03
Security
Detection, response and security engineering across the stack.
SIEM · SOAR · XDR · UEBA · Threat intelligence · VAPT · Zero trust
- 04
Cloud & platforms
Cloud-native systems built to scale and to be operated.
Cloud-native SaaS · Microservices · Kubernetes · APIs · DevOps · DevSecOps
- 05
Data
The foundation every analytics and AI system depends on.
Data engineering · Data platforms · Real-time analytics · Forecasting
Architecture
How the pieces connect.
Machines and sensors on the floor connect through a secure edge to the platforms and AI that people use. Each layer maps to one of our capabilities.
Physical systems 02 Industrial AI
Secure edge 01 Cybersecurity
Edge inference · SIEM · Zero trust
Platforms & AI 03 Software
Capabilities