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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.

01

Cloud Platforms

Multi-cloud foundations for portable, scalable workloads.

  • AWS
  • Microsoft Azure
  • Google Cloud
02

Containers & Orchestration

Consistent, resilient application delivery across environments.

  • Kubernetes
  • Docker
03

Languages & Frameworks

The engineering stack behind our AI and product work.

  • Python
  • React
  • Node.js
  • Next.js
  • FastAPI
  • Django
  • SQLAlchemy
04

Data & AI

Storage, search, caching, and pipelines for real-time data and AI.

  • PostgreSQL
  • RedisTechnology partner
  • Elasticsearch
  • Amazon S3
  • Apache Airflow
05

Analytics & BI

Turning governed data into decisions and dashboards.

  • Tableau
  • Power BI
06

DevOps & CI/CD

Automated, observable, repeatable delivery pipelines.

  • Jenkins
  • GitLab
  • GitHub
  • Terraform
  • Argo
  • Prometheus
  • Grafana
07

Security & Compliance

Guardrails, monitoring, and configuration governance.

  • AWS IAM
  • AWS CloudWatch
  • AWS Config
08

APIs & Integration

Connecting systems and streaming events at scale.

  • REST
  • GraphQL
  • Apache Kafka
09

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.