Xebia vs Data Reply: full comparison for 2026
Quick verdict
Xebia (3.9/5) edges ahead of Data Reply (3.7/5) overall. Xebia is the better choice for enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams. Data Reply is the stronger option for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent. The right choice depends on your project size, budget, and required tech stack.
Xebia vs Data Reply: head-to-head summary
| Criterion | Xebia | Data Reply |
|---|---|---|
| Founded | 2001 | 1996 |
| HQ | Atlanta, GA, USA | London, UK (Reply Group, Turin, Italy) |
| Team size | 4501-6735 | 11-58 |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Best for | Enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams | Buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent |
| Pricing model | Retainer, dedicated team | Retainer, fixed project |
| Min. engagement | $50K | $25K |
| Primary tech stack | AWS, Azure, GCP | Azure, AWS, Python |
| Industries served | Fintech, Retail, Manufacturing | Fintech, Retail, Manufacturing |
Xebia vs Data Reply: overview
Xebia
Xebia began in the Netherlands in 2001 and moved its global headquarters to Atlanta, Georgia in 2023, with employee counts reported between roughly 4,500 and 6,735 depending on source. The firm is an AI-first consulting, software engineering, and training company helping organizations translate AI strategy into production-ready solutions.
Data Reply
Data Reply is a specialized division of Reply, the Italian IT consulting and system integration company founded in 1996 and headquartered in Turin, Italy, with Reply overall employing over 17,000 people as a publicly traded company. Data Reply's UK and Germany divisions (roughly 11-58 employees each) focus on analytics, big data engineering, data science, and AI implementation advisory.
Services and capabilities: Xebia vs Data Reply
| Capability | Xebia | Data Reply |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✓ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✓ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Xebia vs Data Reply
| Framework / platform | Xebia | Data Reply |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Xebia vs Data Reply
| Criterion | Xebia | Data Reply |
|---|---|---|
| Minimum engagement | $50K | $25K |
| Engagement models | Retainer, Dedicated team, T&M | Retainer, Fixed project, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Xebia vs Data Reply
| Dimension | Xebia | Data Reply |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Retail, Manufacturing | Fintech, Retail, Manufacturing |
| Best use cases | AI-first transformation advisory, Internal AI capability training | Data-and-AI advisory for EU enterprises, Big data engineering for agent systems |
| Typical project type | Retainer | Retainer |
Xebia vs Data Reply: pros and cons
| Xebia | |
|---|---|
| + | 23+ years of engineering-consulting history, with an explicit AI-first repositioning |
| + | Dedicated training practice supports internal capability building, not just external delivery |
| + | Large, multi-thousand-person bench supports substantial enterprise programs |
| - | Reported employee counts vary meaningfully across sources (4,500 to 6,735) — confirm scope directly |
| - | Large-firm structure means less boutique-style senior-partner attention on smaller engagements |
| Data Reply | |
|---|---|
| + | Backed by Reply, a publicly traded 17,000+ person IT consulting group, for financial stability |
| + | Specialized data-and-AI division stays focused rather than being a generalist practice |
| + | European delivery footprint (UK, Germany) suits EU data-residency needs |
| - | Individual division team size (11-58) is small relative to the parent group, limiting standalone capacity |
| - | Reporting structure inside a larger group can add coordination layers for cross-border engagements |
Who should choose Xebia?
Xebia is the right choice for enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams.
Combines AI-first advisory with a formal training arm, useful for buyers who need internal capability building alongside delivery. Minimum engagement starts at $50K. Works best with clients in Fintech, Retail, Manufacturing.
Who should choose Data Reply?
Data Reply is the right choice for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent.
Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division. Minimum engagement starts at $25K. Works best with clients in Fintech, Retail, Manufacturing.
Decision matrix: Xebia vs Data Reply
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Data Reply |
| You need a large dedicated team for an ongoing programme | Xebia |
| Your budget is at the lower end | Data Reply |
| You need specialist depth in a specific vertical | Xebia |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Xebia vs Data Reply
| Use case | Xebia fit | Data Reply fit | Winner |
|---|---|---|---|
| AI-first transformation advisory | Strong | Limited | Xebia |
| Internal AI capability training | Strong | Limited | Xebia |
| Data-and-AI advisory for EU enterprises | Limited | Strong | Data Reply |
| Big data engineering for agent systems | Limited | Strong | Data Reply |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Xebia vs Data Reply
Xebia (3.9/5) is the stronger overall choice for most AI Agent projects. Combines AI-first advisory with a formal training arm, useful for buyers who need internal capability building alongside delivery. It is best for enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams.
Data Reply (3.7/5) is the better choice when buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent. If your situation matches those criteria, Data Reply is a competitive option.
Related comparisons
Xebia vs Data Reply FAQ
Is Xebia better than Data Reply?
Xebia (3.9/5) scores higher overall, but "better" depends on your use case. Xebia is better for enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams. Data Reply is better for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent.
How do Xebia and Data Reply differ in pricing?
Xebia uses retainer, dedicated team pricing with a minimum engagement of $50K. Data Reply uses retainer, fixed project pricing with a minimum engagement of $25K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Xebia or Data Reply?
Xebia is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultancy before shortlisting.
What are the main differences between Xebia and Data Reply?
Xebia's primary differentiator is: combines ai-first advisory with a formal training arm, useful for buyers who need internal capability building alongside delivery. Data Reply's primary differentiator is: backed by publicly traded reply group (17,000+ employees) while operating as a focused, smaller specialist division. They also differ in team size (4501-6735 vs 11-58), minimum engagement ($50K vs $25K), and primary industries served (Fintech, Retail vs Fintech, Retail).