Frontend
Interfaces for web applications, internal platforms, customer portals, marketing sites and content-led products — built with maintainability, performance and real users in mind.
A focused technology partner for serious software delivery
Modern software did not appear from nowhere. It sits on generations of progress: early computing theory, hardware breakthroughs, programming languages, the web, JavaScript, cloud infrastructure and the delivery tools that let small teams build serious systems. Maya Technology exists because of that lineage — and carries it forward through practical engineering, careful judgement and software built to last.
Skip historyAda Lovelace
Publishes the first algorithm intended for a machine.
Alan Turing
Formalises the theoretical foundations of computation.
The Transistor
Invented at Bell Labs, enabling modern electronics and the hardware foundations of computing.
Artificial Intelligence
The Dartmouth workshop helps establish artificial intelligence as a field of research.
ARPANET
Demonstrates packet-switched networking between research computers, helping lay the foundations for the internet.
The Microprocessor
Puts computing power into smaller, more affordable systems.
C
Dennis Ritchie creates the language that underpins operating systems, runtimes and much of modern software.
SQL
IBM develops a structured query language for working with relational databases.
C++
Bjarne Stroustrup extends C with object-oriented programming, shaping software architecture for decades.
The World Wide Web
Tim Berners-Lee proposes the system that makes information and software accessible through the browser.
Python
A readable, flexible language that becomes central to automation, data work, backend systems and modern AI development.
JavaScript
Brendan Eich creates the language that becomes central to modern web interfaces and full-stack application development.
AWS
Amazon launches cloud infrastructure, making scalable deployment accessible to teams without owning physical servers.
Deep Learning Breakthroughs
Neural networks begin reshaping image recognition, language processing and the practical use of machine learning.
Docker
Containerisation transforms how software is built, shipped and run across environments.
The Transformer
A new neural network architecture becomes the foundation for many modern language models and AI systems.
Maya Technology builds practical software for real operations — supporting founders with new product delivery and teams with senior engineering support. From end-to-end builds to improving live systems, the focus is always the same: clear communication, dependable delivery, and software that stands up in production.
Frameworks, platforms and tools chosen for maintainability, speed of delivery and software that lasts.
Interfaces for web applications, internal platforms, customer portals, marketing sites and content-led products — built with maintainability, performance and real users in mind.
A structured framework for complex web applications, especially where teams need clear conventions, long-term maintainability and reliable delivery across larger codebases.
A flexible library for building modern interactive interfaces, from fast-moving product prototypes to polished customer-facing applications.
A lightweight, approachable framework for building responsive web applications. Useful where teams want clean component architecture without unnecessary complexity.
A practical way to deliver mobile-friendly applications from a shared codebase, helping teams reach web, iOS and Android users without maintaining three separate products.
A development environment for designing, testing and documenting UI components in isolation, making interfaces easier to review, reuse and maintain.
A strong choice for fast, content-led websites, documentation, landing pages and marketing platforms where performance and SEO matter.
APIs, services, data models and application logic — built to support real business workflows, integrations and production usage.
A dependable runtime for APIs, integrations, real-time features and web services, especially when teams want JavaScript or TypeScript across the stack.
A structured Node.js framework that brings clear architecture to backend systems, helping services stay organised as products and teams grow.
A modern Python framework for building fast, well-documented APIs, particularly useful for data-heavy services, automation and AI-adjacent systems.
A mature Python framework for building robust business applications quickly, with strong foundations for authentication, admin workflows and database-backed products.
A reliable open source relational database for applications where data integrity, reporting and long-term maintainability matter.
A document database suited to flexible data models, fast iteration and use cases where records do not fit neatly into fixed relational structures.
Cloud infrastructure, deployment pipelines, containers, managed databases and identity services — the foundations that keep software reliable after launch.
A mature cloud platform for hosting applications, running services, storing data and building secure, scalable production systems.
Container tooling that makes applications easier to run consistently across local development, testing, staging and production environments.
Automation for testing, quality checks and deployment, helping teams catch problems earlier and ship changes with more confidence.
Google Cloud services for hosting, data, analytics and machine learning workloads where the project benefits from Google’s platform strengths.
A managed PostgreSQL platform that supports fast-moving projects with branching, scalable database environments and simpler operational overhead.
A managed identity platform for sign-up, login and account management, reducing the risk and effort involved in building authentication from scratch.
Discover
Define the problem, goals, constraints and success criteria.
Define
Set the architecture, priorities and delivery plan.
Build, test & release
Iterate until the agreed milestone is reached.
Agreed delivery point
MVP, V1 or another contracted milestone.
Handover
Transfer delivery into your team with clear documentation and ownership.
Continue support
Continue development, ongoing support or embedded engineering capacity as needed.
Move fast without creating problems you will regret later. We help you build a solid foundation that is scalable, maintainable, and ready to grow with you.
Modernising legacy systems, shipping new internal tools, or augmenting an existing engineering team. We integrate cleanly and work entirely at your pace.
A clear problem but no engineering team yet. We take you from concept to working product and stay closely involved as your business grows and scales.
Maya Technology cares about the people building the future, not just the organisations shipping software today. That means creating real opportunities for people to get hands-on with technology in schools, community settings, and team environments, with tailored support for SEN learners and groups who need it.
This work is delivered through Hackerstem, Maya Technology's education and outreach arm. Hackerstem focuses on practical STEM learning through clubs, workshops, and programmes designed to build confidence, curiosity, and real-world skills.
Explore Hackerstem
From customer-facing products to internal tools and cloud infrastructure, we cover the full range of modern software delivery.
Ship quickly without cutting corners. Clear milestones and regular demos.
Security and compliance from day one. Built with GDPR and audit needs in mind.
UK-based delivery, easy to work with. Clear communication and quick responses.
Yes. We regularly work with founders and teams who have a clear problem but are still shaping the solution. Discovery is often the most valuable phase — it helps avoid expensive decisions later and gives you a build plan you can trust.
Yes. We can embed alongside your developers, take ownership of specific parts of a project, or act as a senior technical resource without disrupting existing workflows. We adapt to the structure that works for you.
Yes. We offer structured post-launch support windows and longer-term retainer arrangements for ongoing iteration, performance monitoring, and feature development. We don't disappear after go-live.
Have more questions? Get in touch
A quick conversation is usually enough
to understand your needs and confirm a path forward.
