Technology ecosystem
Built on technologies enterprises trust
From cloud and containers to data, AI, and delivery pipelines — here is the ecosystem we design, build, and operate on.
Layered, not listed
We reason about systems by architectural layer — data, platform, infrastructure, cloud — because that is how they fail and scale.
Enterprise-grade defaults
Availability, security, and supportability are designed in from the first decision, not retrofitted later.
Open source, operated well
We favor open technologies with strong ecosystems — and bring the operational discipline production demands.
The stack
Nine domains, one coherent platform
Grouped the way real systems are built — so the stack reads as an engineered platform, not a wall of logos.
Cloud Platforms
Multi-cloud foundations for portable, scalable workloads.
- AWS
- Microsoft Azure
- Google Cloud
Containers & Orchestration
Consistent, resilient application delivery across environments.
- Kubernetes
- Docker
Languages & Frameworks
The engineering stack behind our AI and product work.
- Python
- React
- Node.js
- Next.js
- FastAPI
- Django
- SQLAlchemy
Data & AI
Storage, search, caching, and pipelines for real-time data and AI.
- PostgreSQL
- RedisTechnology partner
- Elasticsearch
- Amazon S3
- Apache Airflow
Analytics & BI
Turning governed data into decisions and dashboards.
- Tableau
- Power BI
DevOps & CI/CD
Automated, observable, repeatable delivery pipelines.
- Jenkins
- GitLab
- GitHub
- Terraform
- Argo
- Prometheus
- Grafana
Security & Compliance
Guardrails, monitoring, and configuration governance.
- AWS IAM
- AWS CloudWatch
- AWS Config
APIs & Integration
Connecting systems and streaming events at scale.
- REST
- GraphQL
- Apache Kafka
Collaboration & Delivery
How we plan, document, and communicate delivery.
- Jira
- Confluence
- Slack
Technology fit
Want to go deep on a specific technology?
Whether it’s a RAG data layer on Redis or a Kubernetes platform on AWS, we can talk specifics.