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Xebia

AI Product Development

Xebia helps enterprises design and deploy AI-first solutions across consulting, software engineering, and technical training.

About

Xebia delivers AI consulting, software engineering, and technical training to large enterprises seeking to build and operationalize AI-driven products. Headquartered in Hilversum, Netherlands, and operating across 16 countries including the United States, United Kingdom, Poland, India, and the UAE, they work with organizations to define AI strategy, build custom LLM-based applications, automate workflows, and modernize data and cloud infrastructure.

Founded in 2001 and employing 1,000–9,999 people, Xebia positions itself as an end-to-end AI transformation partner — covering strategy through to production deployment. Their current positioning centers on two strategic partnerships: a collaboration with Anthropic to deliver Claude-powered enterprise GenAI ecosystems, and a partnership with NVIDIA to bring production-ready AI across cloud, on-prem, and sovereign environments. They recently achieved Databricks Gold Partner status and have spent two decades building on AWS. They are also active open-source contributors and were named a 2025 Top 20 Company to Watch for IT and Technical Training.

What They Do

Artificial Intelligence & GenAI

  • Scaled GenAI platform design — LLM integration, RAG pipelines, and agentic AI architectures built for enterprise production

  • Claude-powered GenAI ecosystem deployment in partnership with Anthropic

  • Agentic AI consulting — multi-agent workflow design, autonomous decision systems

  • Responsible AI governance and model monitoring

Intelligent Automation

  • AI-powered email classification, routing, and summarization (deployed for a cruise line client)

  • AI-enhanced case management and workflow automation

  • Intelligent automation solutions combining AI with low-code platforms (Appian, OutSystems, Mendix)

AI-Native Software Engineering (Xebia ACE)

  • Custom LLM-based product development and AI feature integration across the full SDLC

  • Cloud-native application development on AWS, Google Cloud, and Azure

  • Mobile and web application development with embedded AI capabilities

Cloud & Data Modernization

  • Serverless architecture design and implementation (AWS-certified partner)

  • Data platform modernization using Databricks and dbt

  • Xebia BASE Solutions — tailored platforms for data and cloud infrastructure

  • Digital sovereignty and cloud resilience architecture

Training & Upskilling

  • AI-first technology training through Xebia Academy, including responsible AI and prompt engineering

Services & Tech Stack

Services

  • AI Use Case Identification
  • Multi Agent Workflow Orchestration
  • RAG Pipeline Development
  • Business Process Automation
  • Custom AI App Building

Tech Stack

  • Anthropic API
  • AWS Bedrock
  • Google Vertex AI
  • Azure OpenAI Service
  • LangChain
  • LangGraph

Is This a Fit?

Best For

Large enterprises and mid-market organizations seeking an end-to-end AI transformation partner — from strategy and GenAI platform design through to production deployment and staff upskilling.

Not a Fit For

Early-stage startups, small businesses, or teams looking for off-the-shelf AI tools without custom integration or strategic change management.

Ideal Client

CIO, CDO, Head of Digital Transformation, or VP Engineering at an enterprise seeking to operationalize AI across business functions.

Track Record

Founded in 2001; 1,000–9,999 employees across 16 countries; strategic partnerships with Anthropic, NVIDIA, AWS, Google Cloud, Databricks, and Microsoft; Databricks Gold Partner; 7 verified Clutch reviews with an average rating of 4.7.

Common Outcomes

  • Software release velocity increased by over 10x for a digital staffing platform following serverless AWS architecture implementation
  • AI-powered email automation reduced manual triage burden and improved customer response consistency for a major cruise line
  • Lowest defect rate among development partners for a European airline carrier, with improved website conversion rates
  • Underwriting and claims workflow automation delivering measurable efficiency gains for MagMutual

Notable Clients

MagMutualSchmitz CargobullCoopleVoloteaYellInterflonRASP

Use Cases

Workflow process automationAI customer supportAutomated document processing

Case Studies

Turning Email Chaos into Intelligent Decision-Making

Turning Email Chaos into Intelligent Decision-Making

Travel & Hospitality

Challenge

A cruise line received high volumes of customer emails, causing delays and inconsistent service quality.

Solution

Deployed an AI-powered email classification and routing system with GenAI summarization to automate triage and provide agents with AI-generated draft responses.

Redefining Insurance Efficiency with AI-Enabled Automation

Redefining Insurance Efficiency with AI-Enabled Automation

Insurance

Challenge

Legacy insurance processes at MagMutual were inefficient and difficult to modernize at scale.

Solution

Implemented AI-enabled automation and data engineering using Appian to streamline underwriting and claims workflows.

At a Glance

  • Location

    Hilversum, Netherlands

  • Founded

    2001

  • Team Size

    500+
  • Typical Budget

    $200,000–$2,000,000+

  • Timeline

    6–12 months for enterprise transformation engagements; shorter for focused AI proof-of-concept or platform builds.

  • Delivery

    Hybrid
  • Engagement

    Project BasedRetainer
  • Pricing

    $50 - $99
  • Client Tier

    EnterpriseMid Market
  • Regions Served

    Northern AmericaNorthern EuropeWestern EuropeSouthern AsiaWestern AsiaEastern Europe
  • Languages

    EnglishDutch
  • Certifications

    Appian Innovation AwardAppian Transformation Award 2025AWS PartnerDatabricks Gold Partner2025 Top 20 Company to Watch for IT and Technical Training

Focus Areas

Industries

Logistics & Supply ChainTravel & HospitalityInsuranceFinancial Services

Specialties

Generative AILLMRAGAgentic AIData ModernizationCloud Native EngineeringAI Native Software Engineering

Verticals

Claims ProcessingUnderwriting AutomationFleet ManagementDemand Forecasting

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Signal
CategoryAI Product DevelopmentAI Product DevelopmentAI Product Development
LocationHilversum, NetherlandsChino Hills, United StatesSan Francisco, United States
Team SizeNot listedNot listedNot listed
Client TierEnterpriseStartupEnterprise
Delivery ModelHybridRemoteHybrid
Typical Budget$200,000 – $2,000,000+$5,000 – $50,000$500,000+
Services
AI Use Case IdentificationMulti Agent Workflow OrchestrationRAG Pipeline Development+2
RAG Pipeline DevelopmentAI Workflow AutomationCustom AI App Building+2
Custom AI App BuildingMulti Agent Workflow OrchestrationAutonomous AI Agents+2
Tech Stack
Anthropic APIAWS BedrockGoogle Vertex AI+3
Not listed
OpenAI API