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AI Platforms & Infrastructure
From experimental AI pilots to enterprise-scale platforms, we help organizations design, build, and operate AI infrastructure that delivers at every stage of the AI lifecycle.
The Production Gap in Enterprise AI
Enterprises across financial services, energy, automotive, retail, and the public sector are racing to move AI from isolated pilots into reliable, scalable production. Most face the same barrier: fragmented infrastructure that cannot support the full AI lifecycle.
Data and ML teams struggle with inconsistent environments, manual deployments, and a widening gap between development pace and operational maturity. Generative AI and agentic AI systems have deepened this gap, introducing new demands around LLM orchestration, RAG pipelines, and LLMOps that most platforms were not designed to meet.
Regulatory pressure adds complexity. The EU AI Act introduces documentation obligations, explainability requirements, and conformity assessments that must be embedded into platform architecture from the start. Sovereign AI contexts add constraints around data residency and vendor lock-in.
Without a coherent platform strategy, every new AI use case, whether predictive maintenance, NLP, AI agents or computer vision applications, adds complexity rather than building capability.
Our AI platforms & Infrastructure offering covers the full enterprise AI lifecycle, from data and compute foundations to production-grade GenAI and agentic systems
What we offer
Four integrated practice areas covering the design, build, and operation of modern AI platforms, from LLMOps and agentic AI to MLOps, ethical AI compliance, and sovereign infrastructure.
AI and GenAI Platforms (LLMOps)
We design and implement the infrastructure that makes GenAI and agentic AI operationally sustainable, from LLM orchestration and RAG pipelines to GPU provisioning for model serving and training.
ML Engineering and Operations (MLOps)
We implement the workloads, deployment patterns, and observability tooling that enable ML and data science teams to deliver reliably at scale.
Ethical AI and Compliance
We embed governance and regulatory requirements directly into platform architecture, helping organizations meet EU AI Act obligations and operate AI responsibly without slowing delivery.
Sovereign AI
We design AI infrastructure for organizations where data residency, model independence, and digital sovereignty are hard requirements, without sacrificing platform capability.
Your benefits at a glance
Our AI Platforms & Infrastructure offering delivers measurable outcomes across the full AI lifecycle, reducing time-to-production, improving platform reliability, and embedding compliance without slowing delivery.
Organizations benefit from a partner who combines cloud-native engineering depth with strategic advisory capability across MLOps, LLMOps, AI governance, and sovereign infrastructure.
Why Data Reply?
Data Reply combines hands-on AI platform delivery experience across Europe along with strategic advisory depth covering MLOps, LLMOps, agentic AI architecture, AI governance, and sovereign AI infrastructure. As AI Platforms & Infrastructure leader, we bring both technical ownership and commercial accountability to every engagement, from the first maturity assessment through to production operations.
As part of the Reply group, Data Reply offers a wide range of services that support customers in becoming data driven. We operate in various industries and business areas and work intensively with our customers so that they can achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects to achieve “data-driven companies”. We focus on the development of data platforms, machine learning solutions and streaming applications - automated, efficient, and scalable - without making any compromises in IT security.