The Tools
We Trust

Backend

.NET Core

High-performance, cross-platform framework for building scalable APIs, microservices, and enterprise-grade background services.

• REST & GraphQL API development
• Background jobs & event-driven architecture
• Microservice & monolith patterns

AI / ML

OpenAI

Industry-leading large language models powering intelligent features, from natural language understanding to code generation and multi-modal reasoning.

• GPT model integration & fine-tuning
• Embeddings for search & retrieval
• Function calling & structured outputs

Frontend

React

Component-driven UI library for building fast, interactive web applications with a mature ecosystem and a strong community.

• Single-page applications (SPA)
• Complex dashboard & admin UIs
• Component libraries & design systems

AI / ML

PyTorch

The leading open-source deep learning framework. Flexible, Pythonic, and the go-to choice for research and production ML workloads.

• Custom model training & fine-tuning
• GPU-accelerated inference
• Model export & deployment (TorchServe, ONNX)

Language

TypeScript

Strongly-typed superset of JavaScript that catches errors at compile time and scales cleanly across large, shared codebases.

• Type-safe frontend & backend code
• Shared types across the full stack
• Improved developer experience & safe refactoring

AI / ML

Anthropic

Safety-focused AI research lab behind the Claude family of models. Delivers highly capable, steerable, and reliable AI assistants.

• Claude API integration
• Long-context document analysis
• Agentic workflows & tool use

Database

PostgreSQL

The world's most advanced open-source relational database. Powerful, reliable, and production-proven at any scale.

• Relational & semi-structured (JSONB) data
• Full-text search & advanced indexing
• High-availability & streaming replication

AI / ML

TensorFlow

Google's end-to-end machine learning platform. Battle-tested for training, serving, and deploying models at massive scale.

• Production model serving (TF Serving)
• On-device ML (TensorFlow Lite)
• Scalable training pipelines

AI / ML

Python

The de-facto language for data science and AI, with the richest ecosystem of ML frameworks and LLM integration tooling.

• ML model training & inference
• LLM integrations & RAG pipelines
• Data processing, ETL & automation scripts

Cloud

AWS

The world's leading cloud platform. We use it to build scalable, resilient, and cost-optimised infrastructure for any workload.

• Auto-scaling compute (EC2, ECS, Fargate)
• Serverless functions (Lambda, API Gateway)
• Managed storage, databases & global CDN

AI / ML

Hugging Face

The open-source hub for state-of-the-art ML models. Provides thousands of pre-trained models and a powerful Transformers library.

• Pre-trained model fine-tuning
• NLP, vision & audio pipelines
• Model hosting & inference APIs

API

GraphQL

A flexible, strongly-typed query language for APIs that gives clients precise control over the data they request. Nothing more.

• Efficient, schema-driven data fetching
• Strongly-typed API contracts
• Real-time subscriptions & live data feeds

AI / ML

LangChain

The leading framework for building LLM-powered applications. Provides composable chains, agents, and retrieval-augmented generation out of the box.

• RAG pipeline orchestration
• Multi-step agent workflows
• Tool integration & memory management

DevOps

Docker

Industry-standard containerisation that ensures consistent, reproducible environments from local development all the way to production.

• Consistent dev-to-prod environments
• Container orchestration (ECS, Kubernetes)
• Streamlined CI/CD pipeline integration

AI / ML

scikit-learn

The gold standard for classical machine learning in Python. Simple, efficient, and built on NumPy and SciPy for reliable, reproducible results.

• Classification, regression & clustering
• Feature engineering & selection
• Model evaluation & hyperparameter tuning

DevOps

Redis

High-performance, in-memory data store used for caching, session management, and real-time pub/sub. Delivers sub-millisecond response times at scale.

• Application caching & session storage
• Real-time pub/sub messaging
• Rate limiting & queue management