Xebia Unclaimed
Xebia is a global AI-first digital transformation and engineering partner.
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 4,500+ professionals across 16 countries, Xebia specializes in artificial intelligence, data and cloud, intelligent automation, and digital products and platforms. With a strong focus on engineering excellence and a people-first culture, Xebia equips organizations to apply emerging technologies that accelerate business innovation and drive sustainable competitive advantage. Xebia leads with a responsible and human-centric approach to AI.
Our mission, values, and principles are at the core of everything we do.
What we offer
GenAI OS
Accelerate AI adoption with seamless integration, governance, and cost management.
xebia.com/solutions/agentic-os-platform/Xebia Axis Agentic Data Foundation
Transform your data landscape into a production-ready platform swiftly and efficiently.
xebia.com/cloud-data-modernization/agentic-data-foundation/Open Data Lakehouse
Streamline data management with a flexible, adaptable lakehouse platform that supports varied usage scenarios.
xebia.com/cloud-data-modernization/open-data-lakehouse/Transaction Categorization Engine
Enhance financial insights with real-time, accurate transaction categorization powered by generative AI.
xebia.com/solutions/transaction-categorization-engine/GenAI Email Categorization Engine
Boost productivity by automating email management and enhancing customer engagement.
xebia.com/artificial-intelligence/genai-email-categorization-engine/Fraud Detection
Detect, refine, and prevent fraud effectively through AI-driven solutions.
xebia.com/artificial-intelligence/fraud-detection/Demand Forecasting
Boost operational efficiency and reduce waste by accurately predicting demand.
xebia.com/artificial-intelligence/demand-forecasting/Conversational Banking
Enhance banking support with Xebia's AI-powered chatbots to deliver fast and personalized customer service.
xebia.com/artificial-intelligence/conversational-banking/AI Platform Design and Implementation
Accelerate innovation with tailored, scalable AI platform solutions.
xebia.com/artificial-intelligence/ai-platform-design-implementation/AI Strategy & Consulting
Transform AI ambitions into measurable business outcomes with expert strategies.
xebia.com/artificial-intelligence/ai-strategy-consulting/Cloud and Data Strategy
Maximize Insights and Decision-Making Through Tailored Cloud and Data Strategy.
xebia.com/cloud-data-modernization/cloud-and-data-strategy/Data Management and Governance
Empower organizations with robust data governance and quality management to ensure compliance and operational excellence.
xebia.com/cloud-data-modernization/data-management-governance/LLMOps
Quickly scale production-ready GenAI solutions with LLMOps frameworks.
xebia.com/artificial-intelligence/large-language-models-operations-llmops/Market segments
Market size by segment
Growth potential (CAGR)
GenAI platform infrastructure
Design and deployment of scalable GenAI platforms including MLOps/LLMOps, cloud-native security, multi-provider integration, cost management and pre-built components to operationalize generative AI.
AI strategy and maturity assessment
Assessment, prioritization and governance capabilities for AI initiatives including maturity benchmarking, use-case evaluation, and strategy frameworks to guide AI investment and adoption.
Data management and governance
Strategies and implementations for data architecture, master data management, data quality, privacy and compliance, and AI-ready data pipelines to enable trusted analytics.
Financial services AI
GenAI and ML capabilities for banking and payments including conversational customer service, real-time transaction categorization and enrichment, fraud detection and regulatory compliance.
Customer engagement automation
Automated customer communication workflows and triage using GenAI for email categorization, drafting, prioritization and CRM-informed actioning to improve response times and agent productivity.
More information about our offering
GenAI OS
GenAI OS is an operating system for GenAI that streamlines adoption with cost management, onboarding workflows, and seamless integration with major cloud AI platforms (Azure OpenAI and AWS Bedrock). It enables enterprises to deploy and govern GenAI at scale.
- Optimize Costs EffectivelyTrack and optimize AI spend with real-time usage analytics and budget controls, minimizing unexpected expenses.
- Enable Multi-Provider FlexibilityEasily switch between major AI providers without code changes, ensuring uninterrupted operations.
- Ensure Provider AgnosticismMaximize performance and cost-efficiency by integrating various AI technologies seamlessly.
- Accelerate Team AdoptionFacilitates swift integration of teams into GenAI workflows, ensuring effective utilization from day one.
- Leverage Internal Data SafelyIntegrate organizational knowledge with GenAI for enhanced intelligence and insights.
- Enhance Development SpeedUtilize predefined modules to quickly deploy AI capabilities tailored to business needs.
Xebia Axis Agentic Data Foundation
Xebia Axis Agentic Data Foundation helps enterprises prepare data for AI outcomes you can trust.
- Builds Trustworthy Data FoundationsEnsures organizations have high-quality data ready for AI applications, minimizing barriers to successful implementation.
- Enhances Migration EfficiencyReducing typical migration timelines significantly enables businesses to adopt new data strategies quicker.
- Ensures Built-In ComplianceStrengthens data management practices by embedding governance throughout the platform.
- Facilitates 24/7 Data MonitoringContinuous oversight minimizes manual work while ensuring prompt detection and remediation of data issues.
- Maximizes Operational EfficiencyDelivers considerable work output with reduced headcount, driving cost efficiencies.
Open Data Lakehouse
Open Data Lakehouse is an adaptable platform enabling clients to support a wide range of data usage scenarios. Ideal for mature organizations aiming to simplify their data management through centralized platforms while remaining open to future needs.
- Embrace Flexible Data FrameworksThe adaptable architecture supports diverse data processing needs, ensuring organizations can respond to evolving data requirements efficiently.
- Facilitates Multiple Data ApplicationsWith the ability to manage various data workflows, businesses can optimize operations and derive insights tailored to their specific organizational needs.
- Enhance Scalability and PerformanceIntegration with leading cloud providers ensures that the data lakehouse can scale according to demand and operational needs.
- Secure Data ManagementEnsure data governance and compliance throughout the data lifecycle, minimizing risks associated with data management.
Transaction Categorization Engine
GenAI-powered transaction categorization engine that classifies transactions in real time, enriches data, and supports data-driven financial insights across multi-currency and multi-language contexts.
- Enable Immediate Financial InsightsReal-time categorization allows users to monitor and analyze financial transactions as they happen, providing instant feedback and insights.
- Enhance Categorization AccuracyUtilize state-of-the-art large language models to ensure comprehensive coverage and to minimize cold start issues across different markets.
- Process Transactions RapidlyHandle high transaction volumes seamlessly to meet the demands of financial operations in real-time.
- Tailor Categories EffortlesslyEasily customize and refine the category granularity based on your requirements and preferences to adapt to market changes.
- Manage Data SecurelyEnsures robust data management and security through advanced role-based access control mechanisms.
- Extract Detailed Transaction InsightsEfficiently identify and categorize transactions by extracting essential details, facilitating enhanced financial analysis.
- Access Comprehensive Merchant DataUtilize a vast database of merchants to improve categorization accuracy and enrich transaction details.
- Generate Personalized OffersLeverage insights from transaction patterns to generate targeted recommendations for products, enhancing customer engagement.
- Wide Categorization OptionsFacilitate detailed tracking and reporting through a rich set of categories and sub-categories for diverse transaction types.
- Track Transaction Flow AccuratelySimplifies tracking of transactions by associating refunds and reversals with their original entries, enhancing auditing capabilities.
GenAI Email Categorization Engine
GenAI-powered engine that automates email triage by rephrasing, categorizing, prioritizing, and drafting responses with CRM insights.
- Draft Accurate ResponsesGenerates personalized, context-aware email responses to enhance customer interactions.
- Enhance Email ManagementReduces manual effort by categorizing and prioritizing emails based on urgency and intent.
- Utilize Customer DataFetches real-time customer insights to tailor responses, ensuring relevance and engagement.
- Optimize Response ActionsIdentifies urgent issues for prompt resolution, increasing efficiency in customer service.
- Ensure Quality ControlAllows human agents to edit AI drafts, maintaining accuracy and compliance.
Fraud Detection
GenAI-powered fraud detection with exploratory data analysis, false-positive reduction, and continuous model feedback.
- Improve Model AccuracyEnhances detection capabilities through iterative improvements, reinforcing the system's responsiveness to emerging fraud tactics.
- Swift Action Against FraudMinimizes potential losses through immediate identification and response to fraudulent transactions.
- Identify Fraud PatternsAnalyzes transaction data to uncover hidden anomalies that indicate fraudulent behavior, providing insights for further action.
- Handle Growing Transaction LevelsEnsures consistent performance even during peak transaction periods, maintaining security across operations.
- Reduce Operational DisruptionsEnhances operational efficiency by decreasing the number of unnecessary alerts, allowing focus on genuine threats.
- Remain Regulatory CompliantSupports organizations in meeting legal obligations related to fraud prevention, enhancing trust with stakeholders.
Demand Forecasting
Xebia empowers businesses to forecast accurately using advanced machine learning and real-time data insights. Our tailored solutions enhance operational efficiency by predicting demand and optimizing inventory levels.
- Enhances Demand PredictionsUtilizes machine learning to analyze historical data, allowing organizations to make informed decisions on resource allocation and stock management.
- Supports Large DeploymentsIntegrates seamlessly with existing infrastructure and scales to meet demand fluctuations and business needs without disruption.
- Forecasts Up to 50 DaysProvides businesses with timely insights and adequate preparation for upcoming demand shifts, enhancing inventory management and planning.
- Adapts to TrendsUtilizes algorithms that allow for quick adjustments in forecasts based on current market conditions and seasonal influences.
- Improves Over TimeEnsures that the forecasting model remains accurate and relevant by adapting to new data and trends in consumer behavior.
Conversational Banking
GenAI-powered chatbots for customer support that reduce query handling time and enhance personalization.
- Automate Customer SupportDeliver effective responses to customer inquiries and streamline support processes.
- Enhance Customer ExperienceUse customer data to provide tailored responses, improving satisfaction rates.
- Ensure Service ContinuityMaintaining a unified support network by linking chatbot functions to current systems.
- Accelerate Response TimeMinimizes wait times for customers, leading to higher satisfaction.
- Maintain Compliance StandardsImplement system checks to uphold security and compliance in all chatbot functions.
- Gain Customer InsightsAnalyze interactions to improve service strategies and responses.
AI Platform Design and Implementation
Design and implement scalable GenAI platforms with robust MLOps, LLMOps, and secure cloud-native infrastructure.
- Establish Scalable Foundations.Our service builds robust platforms that facilitate seamless scaling and high performance, integrating cloud-native technologies to enhance business agility.
- Guarantee Data Security.Maintain compliance and data privacy with integrated governance frameworks, ensuring your AI solutions operate securely.
- Enable Innovation.Craft architecture that supports evolving technologies and continuous integration, positioning your business for future advancements.
- Streamline AI Operations.Utilize best practices for deploying machine learning and language model operations, facilitating rapid, reliable transformations.
- Achieve Rapid Deployment.Implement solutions quickly and effectively with expert assistance, ensuring you see measurable results sooner.
AI Strategy & Consulting
Turn AI ambitions into business value with a company-wide strategy, cultural alignment, and a proven approach.
- Establishes Clear AI DirectionCreates a comprehensive roadmap to guide businesses in implementing AI solutions that align with their strategic objectives.
- Delivers Tangible Business ValueEmploys practical approaches to guarantee that AI investments yield significant and measurable business impacts.
- Fosters AI-Ready CultureEnsures that organizational culture supports AI initiatives, facilitating smoother transitions and enhanced adoption.
- Unlocks Business Value FasterHelps businesses uncover and prioritize AI applications that can deliver the most significant value, accelerating deployment.
- Accelerates AI AdoptionSpeeds up the implementation of AI strategies by providing experienced leaders who can navigate complex organizational dynamics.
Cloud and Data Strategy
Define a clear data and cloud strategy to maximize insights and decision-making capabilities.
- Align Data Initiatives With Business GoalsBy aligning data strategies with organizational objectives, we ensure that every decision is rooted in measurable business value.
- Develop Actionable RoadmapsOur roadmaps not only guide the implementation of initiatives but also embed governance frameworks to ensure compliance, risk management, and strategic alignment.
- Empower Teams With Data SkillsWe focus on enhancing the data capabilities of teams to ensure they can leverage technologies effectively for decision-making and innovation.
- Enable Real-Time AnalyticsImplementing real-time analytics allows organizations to respond swiftly to data insights, fostering quicker and more informed decision-making.
Data Management and Governance
Establish trusted, compliant, high-quality data foundations through governance and policy controls.
- Implement Structured Data GovernanceImplement structures for data ownership, access, and accountability to support compliance and facilitate informed decision-making.
- Guarantee High Data QualityEmploy strategies and technologies to maintain accurate, consistent, and reliable data across the organization, meeting regulatory requirements effectively.
- Monitor Data Pipelines AutomaticallyImplement automated systems to track data flows, identify bottlenecks, and ensure accuracy and compliance in real time.
- Enable Widespread Data AccessCreate policies and tools that empower all employees to access and derive insights from data, fostering a culture of analytics.
- Facilitate Governance TransitionSupport teams in adapting to new governance practices, ensuring smooth integration with business processes and technology.
LLMOps
Apply LLMOps frameworks to rapidly build and scale GenAI solutions, with safety and deep monitoring.
- Streamline LLM Lifecycle ManagementFacilitates seamless deployment, monitoring, and optimization of language models to ensure effective usage across various applications.
- Ensure Safe GenAI DeploymentsIntegrates comprehensive monitoring systems and compliance controls to maintain operational integrity and prevent misuse in production.
- Enhance Compliance and AccountabilityEnsures the deployment of AI models aligns with best practices in regulations and ethical standards, promoting responsible innovation.
- Reduce Operational CostsUtilizes smart routing and performance metrics to help enterprises optimize resources efficiently while running AI workloads.
- Accelerate Multi-Use Case RolloutsFacilitates quick and effective deployment across various sectors, ensuring that organizations can leverage language models for diverse applications.
References
Methodology and sourcing behind the figures shown above.
GenAI platform infrastructure
Estimate maps the "GenAI platform infrastructure" segment as a meaningful subset of both the generative AI market and AI infrastructure spending. Fortune Business Insights projects a large generative AI market (USD 161B in 2026) and high multi-year growth (~29% CAGR); IDC shows generative AI is a growing share of AI spend with a very high short-term CAGR (59% five-year). Globe Market Research sizes global AI infrastructure at USD 93.2B in 2026 (22.1% CAGR). Combining these sources and assuming platform infrastructure (MLOps/LLMOps, cloud-native security, multi-cloud integration, cost management, pre-built components and services) comprises roughly 25–30% of enterprise generative AI spend and a significant portion of AI infrastructure software/services yields an estimated market ≈ USD 40–50B and growth potential near ~30% CAGR.
- projected to grow from USD 161 billion in 2026 to USD 1,260.15 billion by 2034, exhibiting a CAGR of 29.30%.
- GenAI accounts for 17.2% of global AI spending today; projected to make up 32% by 2028, with a 59% five-year CAGR.
- AI Infrastructure Market was valued at USD 93.2 billion in 2026 and projected to reach USD 562.7 billion by 2035, CAGR 22.1%.
- Forecast (2034): $38.4 Billion; CAGR: 19.5% (United States Generative AI Cloud Platform).
AI strategy and maturity assessment
Two independent market reports in the search results estimate the AI maturity/strategy assessment market at roughly USD 1.47–1.52 billion in 2025 with projections to about USD 5.0–5.38 billion by 2035, implying a CAGR in the ~13%–13.5% range. I use the Precedence Research 2025 base (USD 1.52B) and its reported CAGR (13.48%) as the primary estimate, corroborated by WiseGuyReports (USD 1.47B; 13.1% CAGR).
Data management and governance
Multiple market reports in the provided search results place the data-governance market around USD 4.3–5.7 billion for 2025–2026, with several forecasts projecting high expansion driven by cloud, AI, and regulation. I selected a 2025/2026 market-size estimate of ~USD 5.4B (centred on reported values of USD 5.38B and USD 5.70B) and a consensus growth potential of ~20.5% CAGR (reports show CAGRs between 15% and 22%).
- The global data governance market size was valued at USD 5.38 billion in 2025.
- CAGR: 20.50% from 2026-2034.
- The data governance market is estimated to be valued at USD 5.70 Bn in 2026.
- growing at a compound annual growth rate (CAGR) of 20.1% from 2026 to 2033.
- The Data Governance Market reached USD 4.28 billion in 2025 ... CAGR (2026-2035) 15.0%.
- size is expected to grow from USD 2.1 billion in 2020 to USD 5.7 billion by 2025, at a CAGR of 22.3%.
Financial services AI
Estimate based on industry market reports for AI in finance/banking. MarketsandMarkets (covers AI in finance use cases matching the segment) provides a 2024 market size of USD 38.36B and a 2024–2030 CAGR of 30.6%; Precedence Research provides a similar banking-focused baseline (~USD 34.6B in 2025, ~29.3% CAGR long-term). A generative-AI-specific report (Business Research Company) shows a much smaller 2025 base (~USD 1.89B) but similar high growth (~30.7% CAGR), indicating generative AI is a high-growth subset within the broader AI-in-financial-services market. Chosen figures use the broader AI-in-finance estimate (MarketsandMarkets) as most directly aligned with the described segment.
- The AI in Finance market is projected to grow from USD 38.36 billion in 2024 to USD 190.33 billion by 2030, at a CAGR of 30.6%
- Generative AI in financial services market size is $1.89 billion in 2025; expected to grow to $7.24 billion in 2030 at a CAGR of 30.7%
- AI in banking market size is USD 34.58 billion in 2025 and projected to reach USD 451.50 billion by 2035 at a CAGR of 29.30%
Customer engagement automation
Used published customer engagement solutions market figures (2024–2026 base ~USD 24–28B) as the primary anchor. The specified GenAI-driven email automation/triage capability is a focused subsegment of engagement platforms; I estimated it at roughly 10–12% of the overall market (~USD 2.6–3.3B) in the near term and selected a higher CAGR (≈22%) because GenAI-enabled automation is an accelerating adoption vector relative to broader engagement software (which reports ~9–11% CAGR). The estimate balances multiple industry reports and a premium growth multiple for GenAI automation within the overall market.
- The global customer engagement solutions market size was valued at USD 24.36 billion in 2025 ... exhibiting a CAGR of 10.10% during the forecast period.
- Customer Engagement Solutions Market size was over USD 25.85 billion in 2025 and is anticipated to cross USD 71.44 billion by 2035, witnessing more than 10.7% CAGR.
- 2024 Market Size $24.8 Billion ... The industry is projected to grow from $27.12 Billion in 2025 to $66.37 Billion by 2035, CAGR 9.36%.
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