Xebia
Buckhead Tower, 3399 Peachtree Road NE, Suite,
Atlanta, 1100, GA,
United States
Atlanta, 1100, GA,
United States
1 404-343-4832
Professional Services
Xebia
List of Software Implementations where Xebia is Reseller or System Integrator
Xebia, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. Xebia collaboration with software players such as Google, Amazon Web Services (AWS) and empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
Xebia is a Reseller or SI for the following software solutions:
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| Xebia | Amazon Web Services (AWS) | Amazon SageMaker | ML and Data Science Platforms | AI Development |
| Xebia | Google Cloud Search | Application, Web and Enterprise Search | Content Management |
List of Software Implementations where Xebia is a Reseller or SI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Randstad Netherlands | Professional Services | 3850 | $3.7B | Netherlands | Google Cloud Search | Application, Web and Enterprise Search | 2012 | In 2012, Randstad Netherlands implemented Google Cloud Search as part of a broader Google Workspace deployment, using Google Cloud Search in the Application, Web and Enterprise Search category to surface candidate and client records for recruiters and HR staff. Xebia assisted the Workspace migration and supported configuration and rollout activities, aligning search deployment with organizational onboarding and recruitment processes. Google Cloud Search was configured to index and query across Google Workspace repositories, enabling federated search across Drive, Gmail, Docs, and Calendar content and to surface contextual results within recruitment workflows. Configuration work focused on relevance tuning, metadata indexing, and access-controlled result filtering to meet HR and recruitment information retrieval needs. The deployment integrated Cloud Search with Google Workspace and related systems so recruiters and HR staff could find candidate and client information from a single search interface. Operational coverage included Randstad Netherlands HR and recruitment functions across multiple countries and extended to the broader organization of about 3850 employees. Governance established during the Workspace migration included role based access controls, indexing policies, and administrative controls to ensure search visibility matched HR process boundaries. The associated Google Workspace rollout reduced annual assessment effort and saved about 900 working hours a year while improving onboarding across multiple countries, outcomes tied to the broader Workspace program that incorporated Google Cloud Search as the enterprise search layer. | ||
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Royal FloraHolland | Distribution | 2759 | $6.1B | Netherlands | Amazon Web Services (AWS) | Amazon SageMaker | ML and Data Science Platforms | 2016 | In 2016, Royal FloraHolland engaged AWS and AWS Machine Learning Competency Partner Xebia to establish an internal data science program built on Amazon SageMaker. Royal FloraHolland implemented Amazon SageMaker within its ML and Data Science Platforms stack to begin developing production machine learning tooling and models for its flower distribution operations. The implementation centered on creating model development and deployment pipelines in Amazon SageMaker, including training and serving workflows for a trolley prediction model, a deep learning image quality model, and a buyer recommendation engine. Functional capabilities implemented included model training, model hosting and inference endpoints, and automated model artifact management consistent with ML and Data Science Platforms practices. The recommendation engine was integrated into the companys buyer-facing application to deliver personalized suggestions, and the deep learning image quality model was configured to provide feedback to growers through existing seller channels. Trolley prediction outputs were consumed as part of operational decision workflows for flower delivery planning and logistics scheduling. Xebia supported the build out of internal governance and a data science operating model to enable in-house model development, review, and deployment, establishing roles and processes for model validation and feedback loops. The engagement emphasized embedding ML workflows into operational teams, specifically operations responsible for trolley logistics, growers focused on image quality, and buyer experience functions. As stated by the company, the deployed Amazon SageMaker models improved trolley predictions to drive operational efficiencies, provided automated image quality feedback for growers reaching buyers through photos, and powered a recommendation engine used in the buyer application. |
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IT Decision Makers and Key Stakeholders at Xebia
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Buyer Intent: Companies Evaluating Xebia Services
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Xebia software implementations. Gain ongoing access to real-time prospects and uncover hidden opportunities.
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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Xebia System Integrator / VAR Profile
Xebia is a system integrator and technology consulting firm headquartered in Atlanta, United States, with approximately 5500 employees and annual revenues of $1.4B.
Xebia implements and supports enterprise applications across markets such as Content Management and AI Development.
APPS RUN THE WORLD tracks 2 verified Xebia software implementations across industries and regions, including: Randstad Netherlands where Xebia implemented Google Cloud Search, and Royal FloraHolland where Xebia implemented Amazon SageMaker.
Xebia has a strategic VAR/SI partnership with Google and Amazon Web Services (AWS), backed by verified deployments.
Independent Software Vendors (ISVs) can boost their ecosystem by identifying existing Xebia partnerships, building strong channel relationships, and forging strategic implementation alliances to expand customer reach and accelerate adoption.
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