Xebia Axis: Agentic Data Foundation
Provides the data foundation for AI applications and agents, helping organizations make enterprise information accessible, governed, and usable across intelligent workflows.
OpenAI Across the Enterprise
Xebia helps organizations implement OpenAI models and products across enterprise data, applications, and workflows, with the engineering, governance, and organizational capabilities required to move from use case to production
OpenAI Across the Enterprise
Xebia helps organizations implement OpenAI models and products across enterprise data, applications, and workflows, with the engineering, governance, and organizational capabilities required to move from use case to production
From AI Access to Enterprise Implementation
Advanced AI models are increasingly accessible. For enterprises, the harder challenge is determining how to apply them effectively across real business processes.
That requires more than a model. Organizations need usable data, integration with existing applications, secure access, governance, observability, and clear measures of business impact.
As an OpenAI Select Partner, Xebia helps organizations build, deploy, and scale solutions using OpenAI models and products, supported by its capabilities across AI, data engineering, software development, automation, and organizational enablement.
OpenAI Select Partner
Partnership at a Glance
OpenAI Select Partner
Xebia named an OpenAI Select Partner within the OpenAI Partner Network.
2026
Data & AI Professionals
Data and AI professionals working across the Americas, Europe, and APMEA.
900+
Production-Grade AI Solutions
AI solutions delivered into production to support measurable business outcomes.
20+
Our Expertise
What We Do
AI Strategy and Use Case Prioritization
Identify where AI can improve a business process, define the required architecture and data, and establish measurable outcomes before implementation begins.
Enterprise AI Engineering
Build applications and workflows using OpenAI models and integrate them with enterprise applications, data platforms, APIs, and existing technology environments.
Agentic AI and Workflow Automation
Design agentic systems that can retrieve information, use enterprise tools, coordinate tasks, and support multi-step business processes with appropriate controls.
AI Governance and Operations
Implement access controls, guardrails, monitoring, evaluation, observability, and business KPI measurement to support AI systems operating in production.
The Value Proposition
What It Takes to Put AI to Work
Connect AI to Enterprise Context
Integrate AI with the documents, databases, analytics platforms, applications, and business terminology required to produce useful results.
Build the Data Foundation
Prepare and modernize enterprise data so AI applications and agents can retrieve the right information with the appropriate context and permissions.
Design for Production
Build security, evaluation, governance, observability, and lifecycle management into the architecture rather than adding them after deployment.
Drive Adoption and Capability
Support technical teams and business users with training and enablement through Xebia Academy, which has trained more than 1.3 million professionals globally.
Solutions
Building the Foundations for AI at Scale
Xebia's AI portfolio includes platforms and accelerators designed around two requirements that increasingly determine whether enterprise AI succeeds: usable data and AI-native software engineering.
Client Stories
OpenAI Models Already at Work
20x Faster Knowledge Discovery
For a global consumer goods company, Xebia developed an enterprise knowledge platform using OpenAI models to connect structured, unstructured, and multimodal information.
40 hours → 2 hours: Knowledge discovery time
25k+: Files governed with authorized access
The implementation included retrieval-augmented generation, access controls, hallucination monitoring, response-quality measurement, and KPI tracking.
AI-Assisted Insurance Claims
For a Dutch insurer processing approximately 7,000 claims each month, Xebia developed an AI-assisted claims solution using OpenAI models that supports knowledge retrieval and historical claims analysis.
€600K+: Reported annual savings
€4.5M+: Reported efficiency gains
The solution used Azure AI Search, Azure OpenAI, and OpenAI models within a scalable Azure architecture. 
10x Faster Data Pipeline Delivery
For a global industrial technology company, Xebia developed an agentic self-service ELT platform that enables business users to build and manage complex data pipelines using natural language.
10x: Faster pipeline delivery
30+: Users in production
The solution used Google Cloud, BigQuery, Vertex AI, and dbt, reducing dependency on specialist teams and enabling the client to incorporate the capability into its broader product offering.
Our People
Data & AI Leaders at Xebia
Mayank Verma
AI leader with 18+ years of experience designing and scaling enterprise AI/ML strategies. Mayank holds a U.S. patent for AI-driven fraud detection and specializes in delivering business impact through secure, production-grade AI solutions across industries.
Preetpal Singh
Preetpal is a seasoned technology, sales, and business leader with over 26 years of experience driving digital transformation, optimizing operations, and leading high-performing teams across industries such as BFSI, HCLS, Consumer, Manufacturing, and Hitech.
Rajat Gupta
Rajat is an AI and Data leader focused on Agentic AI, GenAI strategy, and modern data foundations, helping enterprises accelerate the delivery of scalable, production-ready AI solutions and translate emerging technologies into measurable business outcomes.
Diederik Greveling
Diederik is CTO for both Xebia Data and Xebia BASE, leading innovation in data platforms, AI, and analytics. He drives technical strategy and solution development, helping clients build scalable, high-impact data and AI ecosystems.
Our Ideas
Insights & Perspectives
What Xebia’s OpenAI Select Partner Status Means for Enterprise AI
Examine what the designation means, what Xebia contributes to enterprise implementations, and the factors that determine whether AI moves from experimentation into production.
Data & AI Monitor 2025/2026
The broader organizational perspective on moving from AI experimentation to measurable value.
AI Maturity Journey
Discover how to assess and grow your AI maturity for long-term, scalable business impact.
Related Expertise
Scaled GenAI and AI Platforms
Turn strategy into scalable, production-ready solutions with Generative AI.
Data & Analytics
Create the governed data foundations required for reliable AI.
Agentic AI Services
Build intelligent, autonomous agents that act, learn, and scale across the enterprise.
AI Upskilling and Training
Use AI throughout the software delivery lifecycle.
FAQs on Xebia and OpenAI
Contact
Let’s discuss how we can support your journey.