The engineering stack behind every system we ship.

OpenAI

GPT-class language models power most of our AI builds — chat assistants, document understanding and content generation that sound genuinely human.

Anthropic

Claude models, chosen when careful reasoning, long-document analysis and safety-conscious output matter most to the task.

Google Gemini

Google's multimodal models, ideal when a project already lives in Google Cloud or needs native image and video understanding.

Meta Llama

Open-weight models we can host privately — the right call when sensitive data must never leave your own infrastructure.

Mistral AI

Fast, efficient open models we deploy for cost-sensitive, high-volume work without giving up answer quality.

TensorFlow

Google's machine-learning framework for custom predictive models — forecasting, scoring and pattern detection trained on your own data.

OpenCV

The computer-vision library behind image inspection, object counting and document-scanning features inside our apps.

IBM Watson

Enterprise AI for language, speech and discovery — drawn on for regulated environments that expect IBM-grade tooling.

Vertex AI

Google Cloud's managed platform for training, deploying and monitoring machine-learning models at production scale.

Cloud Vision

Instant image labelling, text extraction and content moderation — vision intelligence dropped straight into your product.

Natural Language AI

Sentiment, entity and intent analysis that turns free-form text — reviews, emails, tickets — into structured, usable data.

Azure AI Services

Microsoft's cognitive APIs for vision, speech and language — a natural fit for teams standardised on Microsoft.

Bot Framework

Microsoft's framework for conversational agents that work across web, Teams and your customers' messaging channels.

Codex

Code-generation models we use internally to move faster — always reviewed by senior engineers, never shipped unchecked.

n8n

An automation engine that wires AI models into your existing tools — triggers, logic and actions, no brittle glue code.

Node.js

A fast, event-driven runtime ideal for real-time features and APIs that share one language with the front end.

.NET / C#

Microsoft's robust, high-performance platform for enterprise systems that demand structure and long-term support.

Python

The language of choice for automation, data work and AI — readable, versatile and quick to build with.

PHP

A mature, widely-hosted language that powers a huge share of the web — dependable for content and commerce.

Express.js

A minimal, flexible Node.js framework we use to build clean, well-structured REST APIs quickly.

Laravel

An elegant PHP framework that brings speed and clean architecture to custom web applications.

Django

A batteries-included Python framework for secure, data-heavy applications built on a solid, tested core.

FastAPI

A modern Python framework for high-performance APIs — the layer that often connects our apps to AI models.

GraphQL

A query language that lets front ends request exactly the data they need — in a single, efficient round trip.

PostgreSQL

Our default relational database — rock-solid, standards-compliant and powerful enough for the most demanding systems.

MySQL

A proven, widely-supported relational database, dependable for content platforms and established applications.

MongoDB

A flexible document database for data that doesn't fit neat tables — fast to iterate as requirements evolve.

SQL Server

Microsoft's enterprise database, the natural choice for organisations already built around the Microsoft ecosystem.

Redis

An in-memory store we use for caching, sessions and real-time features where every millisecond counts.

SQLite

A lightweight, zero-config database ideal for embedded use and the local storage layer inside mobile apps.

Firebase

Google's real-time backend for fast MVPs and apps that need live sync, auth and storage without server overhead.

Supabase

An open-source backend on PostgreSQL — instant APIs, auth and real-time data with no vendor lock-in.

Elasticsearch

A powerful search and analytics engine for fast, relevant results across large volumes of content and logs.

AWS

The world's most complete cloud — our default for systems that need to scale globally and reliably.

Microsoft Azure

Microsoft's enterprise cloud, the natural home for organisations already built on Microsoft tools.

Google Cloud

Google's cloud, strong on data, analytics and machine learning — ideal for AI-heavy workloads.

Docker

Containers that make our software run identically everywhere — from a developer's laptop to production.

Kubernetes

Orchestration that scales containerised systems automatically and keeps them healthy under changing load.

GitHub Actions

Automated build, test and deploy pipelines — so every release is consistent, checked and repeatable.

Terraform

Infrastructure defined as code, so environments are version-controlled, auditable and rebuilt in minutes.

Nginx

A high-performance web server and load balancer that keeps traffic fast, stable and evenly distributed.

Cloudflare

A global edge network for speed, DDoS protection and security — keeping your site quick and shielded worldwide.