Technologies
We Work With
32 technologies across 6 categories. Languages, frameworks, cloud, AI, platforms, and data. Our engineers have deep expertise in the tools your team depends on.
ClearView
How the Stack Is Organised
Most of this catalogue is technologies we build systems in: our engineers write and ship production code in these languages, frameworks, cloud platforms, AI models and data platforms every week. The platform entries are different. Salesforce, HubSpot, Monday.com and Magento are systems we integrate with and extend, and that work is connecting them to the rest of your business rather than implementing them from scratch.
Browse Technologies
Languages
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Java Still the backbone of enterprise -
Python Where data meets application logic -
PHP The language that runs the web -
C# Enterprise-grade, now cross-platform -
C++ When every microsecond counts -
Go The language of cloud infrastructure -
TypeScript Type safety from database to browser -
Node.js Event-driven by default -
SQL The universal language for data
Frameworks
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React The component model that won -
Angular The opinionated enterprise framework -
Next.js Production React, batteries included -
Django Batteries included, production proven -
Laravel Rapid development without compromise -
ASP.NET High-performance enterprise web APIs -
Flutter One codebase, every platform -
React Native React skills, mobile results -
Ruby on Rails Productive by convention -
Android Native quality on the largest platform -
iOS Premium experiences on Apple platforms -
Drupal Enterprise content, open source
AI & ML
Platforms
Data & Analytics
Java Still the backbone of enterprise Python Where data meets application logic PHP The language that runs the web C# Enterprise-grade, now cross-platform C++ When every microsecond counts Go The language of cloud infrastructure TypeScript Type safety from database to browser Node.js Event-driven by default SQL The universal language for data React The component model that won Angular The opinionated enterprise framework Next.js Production React, batteries included Django Batteries included, production proven Laravel Rapid development without compromise ASP.NET High-performance enterprise web APIs Flutter One codebase, every platform React Native React skills, mobile results Ruby on Rails Productive by convention Android Native quality on the largest platform iOS Premium experiences on Apple platforms Drupal Enterprise content, open source How a Stack Decision Gets Made
Three situations cover most projects.
- Nothing is fixed yet
- We recommend from the technologies above and give the reasons in writing: fit for the system being built, depth of the hiring market, and how well the ecosystem supports AI-assisted delivery.
- The stack is set by an existing system
- The existing system wins. We staff engineers who already work in that stack and shape the build around what is in production rather than steering it onto a house preference.
- The current stack is in question
- Sometimes the answer is to stay. A rewrite stops feature work for months, so we recommend one only when the current stack blocks something the business needs.
Working in a Stack You Already Run
Most engagements start inside an existing codebase. The work is reading the code that is there, adding tests where they are missing, and shipping changes without breaking what already runs. Engineers are staffed to your stack and your conventions, and they work to your working day.
If you are looking to add engineers to a stack you already run, Scale Your Team covers how placement works.
32
Technologies
Across our stack
6
Categories
Full-stack coverage
150+
Engineers
Across four cities
4.5yr
Average Retention
Average across our engineers
Common Questions
What if our stack is not listed?
The catalogue lists the technologies we work in most often; it is not the boundary of the pool. With more than 150 engineers across web, data, cloud and AI work, adjacent coverage is common. Ask, and if something sits outside our experience we will say so.
Do you recommend a stack, or work in ours?
Both. Where a stack exists we staff to it. Where nothing is fixed we recommend one and give the reasons in writing.
Can one team cover more than one technology?
Yes. Most production systems need it: a React front end on a Python API inside AWS is one team's work. Teams are shaped around the system rather than around this page's categories.
What happens if a technology we depend on stops being maintained?
We plan the exit. That usually means containing the dependency behind an interface, then migrating in stages while the system keeps running. The same approach covers versions that reach end of life.
How quickly can engineers in one of these stacks start?
A shortlist usually reaches you within 48 hours of a brief. It draws on people we already employ or already know, with dedicated recruitment covering the rest. You interview and decide, and engagements start at one engineer.