more detail
Your AI is only as good as the data behind it. DataPhoenix, an AWS data consultancy for UK, EU and Swiss businesses, builds the data foundations that make enterprise AI work and helps you use them safely.
Scroll for
View more
DataPhoenix is a specialist consultancy with expertise in data, AI, DevOps and AWS cloud.
DataPhoenix was built to solve the data problems that determine whether AI projects succeed or fail. We design and deliver data platforms, AI readiness assessments, and classification and pipeline work for organisations that need strong foundations under their AI.
DataPhoenix focuses on AI enablement: making data estates ready for AI and delivering AI on them safely. We run our own company on AI agents, so the practices we bring you are the ones we use every day.
Scroll for
View more
That covers data architecture and strategy, data platform build, AI readiness assessment, PII detection and masking, RAG pipeline design, private model deployment, and skills transfer to your team.
DataPhoenix works with organisations from blue chips to start-ups and delivers remotely across the UK, the EU and Switzerland, in sectors including energy and utilities, payments and financial services, gambling, retail, aviation, healthcare and commodity trading. What you want to achieve matters more than who you are.
Tell DataPhoenix about your data and AI goals and we will work with you on where to start and what to build first.
To realise the value of your data, you first need to bring it together in a centralised and secured repository. This is our area of expertise: data lakes on AWS.
Wherever you are in your journey to cloud, from ‘lift and shift’ to more complex cloud migration, DataPhoenix helps you choose the right approach.
We help you put the right data security approach in place and show that it works, with advice on governance, access controls and more.
Greater efficiency and cost optimisation are the key promises of cloud, but you need the right culture and DevOps platform to achieve those benefits.
Platform strategy, vendor selection, architecture guidance and operating model design, before you commit to building anything.
End-to-end design, build and source onboarding, delivered within your framework with full documentation and handover.
Find out whether your data estate can support AI before you commit budget. Quality, PII risk and use case fit, assessed and documented.
Identify, classify and mask PII across your estate so your AI projects can proceed with regulatory and reputational risk under control.
RAG pipelines, vector stores, embedding design and context management, the infrastructure that determines what your AI actually knows.
Run AI against your internal data using private cloud services or self-hosted models. We can help when your data must stay within your environment.
Ready to put AI to work on your data? Get in touch with the DataPhoenix team.