The technology choices that
power production systems.

We're technology-agnostic in principle and opinionated in practice. Every tool in our stack has earned its place through battle-tested production deployments — not conference hype.

60+

Technologies mastered

150+

Production deployments

Cloud certifications

Continents served

Frontend

We build with the modern React ecosystem as our default, with Angular and Vue for teams that have existing commitments. Every frontend we deliver scores 90+ on Lighthouse and ships with full accessibility compliance.

React 19 Next.js 15 TypeScript Angular 18 Vue 3 Nuxt 3 Remix Tailwind CSS shadcn/ui Storybook Vite Webpack 5 GraphQL / Apollo Zustand React Query Framer Motion

Backend

Our backend engineers are polyglot — we match the language and framework to the workload. Node.js and Python for most services; Java and .NET for enterprise; Go for high-throughput microservices.

Node.js Python 3.12 FastAPI Django REST Express NestJS Java 21 Spring Boot 3 .NET 8 Go 1.22 Rust GraphQL gRPC REST / OpenAPI Apache Kafka RabbitMQ

Mobile

We deliver native iOS and Android alongside React Native and Flutter. Our mobile team has shipped apps to the App Store and Play Store with 4.8+ star ratings and 100K+ DAU.

React Native Flutter 3 Swift / SwiftUI Kotlin Jetpack Compose Expo SDK 51 Detox Appium Firebase Realm Fastlane Bitrise

Cloud / DevOps

AWS, Azure, and GCP certified architects design our cloud infrastructure. Everything is codified in Terraform, monitored with Prometheus and Grafana, and deployed via GitOps pipelines.

AWS Microsoft Azure Google Cloud Kubernetes Docker Terraform Pulumi Helm ArgoCD GitHub Actions GitLab CI Jenkins Prometheus Grafana Datadog PagerDuty Istio Nginx

AI / ML Stack

Our AI/ML team works across the full model lifecycle — from data preparation and training to deployment, serving, and observability. We work with all the major frontier model providers and the leading open-source ecosystem.

Python TensorFlow PyTorch scikit-learn Hugging Face LangChain LangGraph LlamaIndex OpenAI API Anthropic API Google Vertex AI AWS Bedrock MLflow Kubeflow Feast Weaviate Pinecone Qdrant Triton Inference vLLM

Databases & Storage

We select the right database for every workload — relational for transactional systems, document stores for flexible schema, vector databases for semantic search, and time-series for observability.

PostgreSQL 16 MySQL / MariaDB MongoDB Redis Elasticsearch Cassandra DynamoDB Firestore ClickHouse TimescaleDB Snowflake BigQuery Databricks dbt Apache Spark Kafka Connect

Our Philosophy

Technology should be boring infrastructure, not a differentiator.

We choose proven, well-supported tools that reduce operational risk. The goal is always your product success — not showcasing our ability to adopt the newest framework.

Proven in production

Every technology we use has been tested in production deployments at scale. We don't experiment with your project. New tools earn their place through internal R&D first.

Matched to the workload

React for interactive UIs, Go for high-throughput services, Python for ML — we prescribe the right tool for the job rather than applying a single stack to every problem.

Maintainable after handoff

We prioritise mainstream technologies with large talent pools. That way, your internal team or a future agency can maintain, extend, and own the codebase without being hostage to niche expertise.

Let's talk tech

Have a specific stack in mind? We can work with it.

Whether you need us to adopt your existing technology choices or recommend the best stack for a greenfield build, our architects are ready to advise.