Solving Business Problems with Practical AI and Data Solutions
We help companies turn data into something they can actually use. From defining AI strategy and building custom agents to automating workflows and integrating data systems, the focus is always on real, measurable impact.
WHAT WE OFFER
We turn data into practical AI solutions — from building data pipelines and infrastructure to developing and deploying machine learning models. Our focus is on making data reliable, usable, and integrated into real business workflows..
AI & Data Readiness and Strategy
We assess your data maturity, infrastructure, and organisational readiness to identify where AI can create value. Through clear prioritisation, use case definition, and roadmap planning, we help you move from ideas to actionable initiatives.
Custom Agent Development
We design and build custom AI agents tailored to your business needs — from internal assistants to customer-facing solutions. By combining domain knowledge with advanced AI capabilities, we create systems that enhance productivity, decision-making, and user experience.
Workflow Automation
We identify repetitive processes and optimise them through intelligent automation. By integrating AI into existing workflows, we reduce manual effort, increase efficiency, and enable teams to focus on higher-value work.
AI Ops as a Service
We help you manage and scale AI systems reliably through monitoring, optimisation, and continuous improvement. Our approach ensures performance, stability, and cost efficiency across your AI operations.
Proven Results for Global Clients
A closer look at how our AI & Data services are applied in practice, and the kind of measurable results they can deliver in real-world projects.

Beyond the Chatbot: Engineering HARVN’s AI Ecosystem for Mental Wellbeing
Learn how Q helped HARVN increase efficiency and unlock new growth opportunities with AI-powered solutions.
Why CHOOSE Q FOR AI AND DATA PROJECTS
Our philosophy is straightforward: we deliver tailored solutions, focus on lasting partnerships, and cultivate a supportive environment for our team. Take a look below to see our focus areas and how we make it all happen.
Private AI Infrastructure
We invested in our own AI infrastructure, powered by a dedicated NVIDIA H200 GPU cluster. This allows us to train, fine-tune, and deploy AI models entirely on our own hardware — ensuring speed, independence, and maximum data security
AI-Enhanced Development Workflow
All AI development and testing is performed within our infrastructure. Our software development process is enhanced by large local AI models that support specification, code generation, testing, and review — enabling our teams to focus on quality, validation, and delivering exceptional products.
AI Academy & Certified Expertise
To continuously strengthen our capabilities, we run an internal AI Academy. Over 100 Q’s experts have already completed the program, specializing in modern AI agent development, with top performers earning AWS AI certifications.
From ISO to AWS, we got it
Quality & reliability
We pride ourselves on delivering top-tier quality and reliability, backed by our AWS Select Tier partnership and recognition by Clutch as one of the top 15 companies in our field. Our commitment is reinforced through ISO-certified standards in quality, security, and privacy – ensuring our clients receive services that are consistently secure, compliant, and dependable.

Practitioner Associate





Our Technology Expertise
You’ll work with senior experts across a wide range of modern technologies and disciplines. Our capabilities are structured around key areas of software development, product design, and cloud infrastructure — allowing us to support complex digital products end-to-end.
Back-End Software
- PHP
- nodeJS
- .NET
- Java
- Python
AI, ML and Data
- Python
- Spark
- R
- AWS
- PyTorch
- LlamaIndex
- LangChain
- LabelStudio
Front-End Software
- React/Next
- Angular
- Flutter
- Vue.js
CMS
- WordPress
- Shopware
- Strapi
- Drupal
- Contentful
- Sanity
Mobile Application
- Flutter
- Swift
- Kotlin
Product Design
- UX/UI design
- Digital product innovation
- Digital product management
Cloud Infrastructure
- Infrastructure as a Code
- CI/CD and Configuration Automation
- Cloud agnostic Scalability & Optimization
- Security Hardening
- Observability & Logging
Partner with us
Looking to turn your data into real business value with AI?
FAQ
What are AI and data services, and how can they benefit my business?
AI and data services help organizations collect, process, and use data to improve decision-making, automate processes, and uncover insights. This can lead to increased efficiency, reduced costs, and new opportunities for growth through better use of existing data.
How do I know if my company is ready for AI and data solutions?
You don’t need a perfect setup to start. If you have access to data and clear business challenges — such as manual processes, slow decision-making, or untapped insights — you’re ready to begin. The first step is usually building a reliable data foundation and identifying high-impact use cases.
What is the difference between data engineering and AI development?
Data engineering focuses on collecting, organizing, and preparing data so it can be used reliably. AI development builds on that foundation by creating models and systems that analyze data, make predictions, or automate decisions. Both are essential for delivering practical, production-ready solutions.