Our Technology Stack
We select technology based on what is best for your project — not based on what is easiest for us.
Technologies We Work With
Our team maintains active expertise across a broad range of modern technologies. For each project, we recommend the technology stack most appropriate for your performance requirements, scalability needs, development timeline, and long-term maintenance considerations.
Frontend
We build user interfaces that are fast to load, accessible, and intuitive to use. Our frontend team is proficient in:
- HTML5 — Semantic, standards-compliant markup
- CSS3 — Modern styling with responsive layouts
- JavaScript — Core scripting and DOM interaction
- TypeScript — Type-safe JavaScript for large-scale applications
- React — Component-based UI library for dynamic applications
- Next.js — React framework for production-grade web applications with SSR and SSG
- Tailwind CSS — Utility-first CSS framework for rapid, consistent UI development
- Bootstrap — Responsive component framework for structured layouts
Backend
Our backend engineers design APIs and server-side systems that are secure, performant, and maintainable:
- Node.js — High-performance JavaScript runtime for scalable server-side applications
- Express.js — Lightweight and flexible Node.js web framework
- Python — Versatile language widely used for AI, data processing, and web backends
- Django — High-level Python web framework with built-in ORM and admin
- PHP — Widely deployed web scripting language
- Laravel — Elegant PHP framework with expressive syntax and robust tooling
Mobile
- Flutter — Google's cross-platform framework for building native-quality iOS and Android apps from a single codebase
- React Native — JavaScript-based cross-platform mobile development leveraging the React ecosystem
Databases
- MySQL — Mature and widely deployed relational database
- PostgreSQL — Advanced open-source relational database with strong support for complex queries
- MongoDB — Flexible document database for applications with evolving data structures
- Firebase — Real-time database and backend-as-a-service platform from Google
Cloud & Infrastructure
- AWS — Amazon Web Services for compute, storage, and AI infrastructure
- Azure — Microsoft's cloud platform for enterprise-grade deployments
- Google Cloud — Google's cloud infrastructure with strong AI and ML tooling
- Docker — Containerisation for consistent, portable application deployment
AI & Machine Learning
- OpenAI — GPT-4 and associated APIs for language understanding, generation, and function calling
- Gemini — Google DeepMind's multimodal AI model
- Claude — Anthropic's AI assistant for reasoning and long-context tasks
- Llama — Meta's open-source large language model for on-premise and fine-tuned deployments
- LangChain — Framework for building LLM-powered applications and chains
- LangGraph — Framework for stateful, multi-actor AI agent orchestration
- Pinecone — Managed vector database for semantic search and RAG
- ChromaDB — Open-source vector database for embedding storage and retrieval
- Hugging Face — Platform for open-source AI models, datasets, and inference