Technology
Built on the toolsthat build the future.
We are pragmatic about technology: proven, open, cloud-native — chosen for the problem, never for fashion.
Ecosystem
Hover to explore the stack.
AI / ML
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- Hugging Face
Development
- React
- Next.js
- Node.js
- TypeScript
- Java
- Python
Cloud
- AWS
- Azure
- Google Cloud
Data
- PostgreSQL
- MongoDB
- SQL
- Apache Spark
ERP
- Oracle Fusion Cloud
- SAP
- Oracle Integration Cloud
- OTBI & BI Publisher
DevOps
- Docker
- Kubernetes
- GitHub Actions
- CI/CD
Principles
How we choose and use technology.
Cloud-native by default
Elastic, observable, cost-aware architectures on the major clouds.
Model-agnostic AI
Open and proprietary models evaluated on your data — no lock-in.
Security built in
Least-privilege access, encryption, secrets management and audit from day one.
Automation everywhere
Infrastructure as code and CI/CD so change is fast and safe.
Open standards
APIs, portable data formats and well-supported open source.
Measured, not assumed
Evaluation harnesses, load tests and monitoring prove it works.
Reference Architecture
One platform pattern, many solutions.
Data foundation
Ingestion, storage, governance and feature pipelines.
Intelligence layer
Models, LLM orchestration, retrieval and evaluation.
Application layer
APIs, web and mobile experiences, integrations.
Operations
Monitoring, drift detection, security and cost control.
