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 — delivering 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 — providing 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 — providing 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 — delivering sub-millisecond response times at scale.

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