Focused, not random
We standardise around a modern JS/TS + .NET stack to make architecture, hiring and long-term maintenance predictable.
We're opinionated about our tools so products are easier to evolve, scale and secure over time. Teams don't waste cycles fighting random stack choices years later.
Instead of listing every tool we've ever touched, we group our stack into four core categories: web and mobile engineering; AI and data; cloud, DevOps and security; and content platforms. This shows how we actually deliver products.
AI-powered features and data foundations, from LLM-based search and assistants to recommendations, analytics and workflow automation, built on top of PostgreSQL, Redis and Elasticsearch.
Modern web and mobile frontends and APIs for SaaS, platforms and internal tools. React, Next.js, TypeScript and React Native, with Node/NestJS and .NET APIs on top of a solid data stack.
Cloud-native infrastructure, CI/CD and observability on AWS and Azure, with security by design for government, healthcare and other sensitive domains.
Headless and traditional CMS setups for content-heavy sites, media platforms and public-sector portals. WordPress, Strapi and Webflow combined with React/Next.js where needed.
We focus on a compact, modern ecosystem across frontend, mobile, backend, data, AI and cloud. These are the tools you'll see most often in our projects.
The stack is chosen to support the kind of work you do: complex, long-lived products with real operational and security requirements, AI-augmented workflows and small senior squads that own whole slices of the product.
We standardise around a modern JS/TS + .NET stack to make architecture, hiring and long-term maintenance predictable.
LLMs, search and recommendations are built on top of strong data and infrastructure foundations.
Public sector, education, healthcare, SaaS and media with non-trivial data, workflows and security expectations.
The same stack sits under every service we offer, so your product stays coherent whether we're on strategy, design or long-term support.
A few examples showing how the stack combines on different products: AI-augmented platforms, public-sector portals, content-heavy media sites.
We start from our core stack for most new work: React/Next.js, Node/NestJS, .NET, PostgreSQL/Redis/Elasticsearch, AWS/Azure.
We consider in-house skills, existing systems, regulatory requirements and product roadmap before locking decisions.
We regularly integrate with existing CRMs, ERPs, data products and legacy systems, even if they're on a different stack.
We avoid exotic or niche choices unless there is a strong, explicit reason.
For public sector and healthcare, security and operational constraints can drive specific platform choices.
Whether you're planning a new product, modernising a legacy system or adding AI features to an existing platform, we'll help you choose the smallest sensible starting point that fits your constraints.
Our playbook for integrating AI into product design and development workflows.
Download the playbook