React
ExpertOur primary UI library — used on every web project we ship.
We work across 8 technology domains and 50+ tools. Our engineers are fluent in the modern full-stack ecosystem — and know when to reach beyond it.
Modern, reactive UIs for web — from marketing sites to complex data-heavy dashboards.
Our primary UI library — used on every web project we ship.
Full-stack React framework for SSR, SSG, API routes, and edge rendering.
Type-safe JavaScript across all frontend and backend Node.js codebases.
Progressive framework for lightweight SPAs and component libraries.
Utility-first CSS — our default styling layer on all web builds.
Enterprise-scale TypeScript framework for large team projects.
High-performance native and cross-platform apps for Android and iOS.
Our preferred cross-platform framework — one codebase, native performance on both platforms.
JavaScript-based cross-platform development with large ecosystem integrations.
Native iOS development for performance-critical and platform-specific applications.
Native Android development for high-performance Android apps.
Real-time databases, auth, push notifications, and app analytics.
Rapid React Native prototyping and deployment with OTA updates.
Scalable, secure server-side architectures powering enterprise products and APIs.
High-throughput JavaScript runtime — our default for REST and GraphQL APIs.
Primary language for AI/ML workloads, data pipelines, and automation scripts.
High-performance microservices and systems programming.
Enterprise Java for large-scale, transaction-heavy backend systems.
Microsoft ecosystem — ERP, enterprise integrations, and Windows-hosted services.
PHP framework for rapid backend development and CMS-backed applications.
The right data store for every workload — relational, document, cache, and search.
Our default relational database — powerful, reliable, and fully open source.
Widely-deployed relational database for web applications and SaaS products.
Document store for flexible, schema-less data and real-time applications.
In-memory caching, session storage, queues, and pub/sub messaging.
Full-text search and log analytics at scale.
Column-oriented OLAP database for real-time analytics workloads.
Multi-cloud, container-native infrastructure that scales without friction.
EC2, ECS, EKS, Lambda, RDS, S3, CloudFront — our most-deployed cloud platform.
GKE, BigQuery, Vertex AI, Cloud Run — preferred for AI/ML workloads.
AKS, Azure Functions, Cosmos DB — enterprise and Microsoft-ecosystem projects.
Container orchestration for all production workloads requiring high availability.
Containerisation — standard across all environments from dev to production.
Infrastructure-as-code for repeatable, version-controlled cloud provisioning.
From raw model training to production-grade AI APIs and intelligent automation.
Deep learning framework for custom model training and research.
Production ML model deployment and mobile on-device inference.
GPT-4, embeddings, function calling — integrated into enterprise products.
LLM orchestration framework for RAG pipelines and agentic systems.
Classical ML models for classification, regression, and anomaly detection.
Distributed data processing for large-scale ETL and analytics pipelines.
Automated pipelines, observability, and reliability engineering across every deployment.
Primary CI/CD — automated testing, building, and deployment workflows.
CI/CD for self-hosted and enterprise GitLab environments.
GitOps continuous delivery for Kubernetes clusters.
Metrics collection, alerting, and real-time observability dashboards.
APM, log management, and infrastructure monitoring for enterprise systems.
Configuration management and infrastructure automation.
Security-first engineering — from architecture reviews to penetration testing and compliance.
Automated security scanning integrated into our CI/CD pipelines.
Static code analysis and vulnerability detection in every pull request.
Secrets management for credentials, tokens, and certificates.
Web application firewall protection and DDoS mitigation.
Secure auth protocols for SSO, API access, and identity federation.
Security event monitoring, threat detection, and incident response.
Principles that guide every architecture decision, tool selection, and engineering trade-off we make.
We choose technology based on your requirements, team capabilities, and long-term support landscape — not hype cycles.
Where suitable, we prefer open-source solutions. No unnecessary vendor lock-in, no opaque pricing surprises at scale.
Every system we build is designed to run reliably on cloud infrastructure — containerised, auto-scalable, and observable.
Threat modelling, secure coding practices, dependency scanning, and penetration testing are standard — not optional add-ons.
From CI/CD pipelines and IaC to automated testing and monitoring — if a human has to do it twice, we automate it.
We design for change. Clean boundaries, good documentation, and modular architecture mean your tech grows with you.
Our architects will assess your requirements, existing infrastructure, and team capabilities — then recommend the technology stack that gives you the best outcome for your budget and timeline.