Full-stack data and AI platform services that build, deploy and operate generative AI at enterprise scale, on infrastructure you control.
Organizations struggle to scale AI beyond pilots, constrained by siloed data, regulatory risks and rising costs, while lacking the skills and platforms to move from experimentation to production at enterprise scale.
DXC Enterprise Intelligence services deliver enterprise AI platform services that unlock value faster — providing a secure, full-stack foundation to scale GenAI, accelerate innovation and maximize ROI on data you fully control.
DXC Enterprise Intelligence services cover every layer, from infrastructure and data engineering through to GenAI, LLMOps and managed AI operations. Running on-premises, hybrid or multi-cloud, DXC Enterprise Intelligence gives organizations a complete, governed foundation for building and operating AI at enterprise scale on data you control. Built on 30 years of data management experience, our solution delivers pre-built design blueprints, standardized containers and accelerators with fully automated DevOps, MLOps and LLMOps. Our solution is modular: Start with a rapid RAG/inference deployment and grow to full model training and enterprise AI operations.
Consider DXC Enterprise Intelligence for your business key functions:
Enterprise-scale AI faces predictable obstacles — from scaling beyond pilots and keeping data private, to controlling costs and managing complexity without in-house expertise. DXC's Enterprise Intelligence services are built around these challenges.
DXC brings 30 years of data management experience and a global team of 10,000+ AI professionals to Enterprise Intelligence. Unlike competitors who specialize in a single layer, DXC delivers the complete stack — from GPU hardware through data engineering to production GenAI — with industry-specific knowledge built in from decades of customer engagements.
One of the few providers delivering every layer from GPU infrastructure through data engineering, GenAI platform and managed AI operations.
HDM-RA and DIF accelerators encapsulate decades of delivery knowledge across industries and data types. Our human-centric, outcome-focused approach is infused into every engagement and into the platform itself.
No lock-in. Clients can swap LLM providers, adjust cloud/on-prem mix, and evolve the stack as technology changes. Supports AWS, Azure, GCP and open-source. LLM model independence is a core design principle.
Innovation labs across multiple continents — including Poland (Warsaw AI Centre of Competence), Bulgaria, India, Philippines and Spain — offers a best-shore delivery model that combines cost efficiency with proximity to enterprise customers.
Defense-grade security controls and air-gapped deployment within the same platform, supported by DXC security-cleared personnel, if desired. 280+ government clients.
DXC Named a Leader by IDC MarketScape in Worldwide AI Services for National Civilian Government
DXC delivers Enterprise Intelligence through a structured methodology grounded in proven principles that ensure scalability, governance and long-term value from the outset. Our approach begins with modular foundations, enabling clients to start with targeted capabilities such as retrieval-augmented generation and inference, and expand at their own pace toward advanced fine-tuning and full LLMOps maturity. By embedding infrastructure as code throughout, we enable rapid, repeatable, and auditable deployments, while a containerized architecture ensures portability across on-premises, hybrid and multi-cloud environments. From day one, metered consumption introduces built-in cost governance, and a continuous upgrade path ensures our intellectual property and accelerators are consistently maintained and enhanced — allowing clients to evolve with confidence as their enterprise intelligence capabilities grow.
DXC Technology built the European Space Agency's ASK ESA platform — a private, on-premises GenAI solution based on Mistral AI and NVIDIA infrastructure that helps the ESA rapidly sift through and analyze vast amounts of data. The project was run in three phases: RAG-as-a-Service MVP (4,000+ users); Enterprise Platform & Application layer; and Enterprise ChatGPT (11,000 staff augmented, 30% average productivity gains). The platform was delivered entirely on-premises using open-source technologies and models.
By working with DXC and applying agile methodology, we quickly evolved from a prototype experiment to corporate production maturity with a robust and scalable solution.
Paul Hewitt
Global DXC Data & AI Solutions Leader
Dr. Günter Koch
Global Lead, DXC Data & AI Platforms Practice
Schedule an initial consultation with DXC Enterprise Intelligence experts to scale AI responsibly and deliver measurable results across the enterprise.
