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Your AI is only as good as the data behind it. DataPhoenix builds the data foundations that make enterprise AI work — and helps you use them safely.
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We’ve come together to launch specialist consultancy with expertise in data, 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 can’t afford to get the foundations wrong.
Our expertise and experience is confirmed with AWS Select Tier for Services partner status.
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That covers data platform strategy and build, AI readiness assessment, PII detection and masking, RAG pipeline design, private model deployment, and skills transfer to your team.
We work with everyone from blue chips to start-ups: who you are is less important than what you want to achieve. If you’ve got a desire to unleash the value in your data, work with us.
If you’d like to know more about how we can help you architect and implement a solution that helps you unleash the value in your data, please get in touch.
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, we will help you find the optimal solution.
Our team will ensure you implement and demonstrate the right approach to data security with advice about data 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.
Know if your data estate can support AI before you commit budget. Quality, PII risk, use case fit — assessed and documented.
Identify, classify and mask PII across your estate so your AI projects can proceed without regulatory or reputational risk.
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 — your data never leaves your environment.
We can help you unleash your data’s potential. Get in touch with the DataPhoenix team here.