Rearc vs Xebia: full comparison for 2026
Quick verdict
Rearc (4.0/5) edges ahead of Xebia (3.9/5) overall. Rearc is the better choice for enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm. Xebia is the stronger option for enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams. The right choice depends on your project size, budget, and required tech stack.
Rearc vs Xebia: head-to-head summary
| Criterion | Rearc | Xebia |
|---|---|---|
| Founded | 2016 | 2001 |
| HQ | New York, NY, USA | Atlanta, GA, USA |
| Team size | 51-100 | 4501-6735 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | Enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm | Enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams |
| Pricing model | Dedicated team, T&M | Retainer, dedicated team |
| Min. engagement | $30K | $50K |
| Primary tech stack | AWS, OpenAI, LangChain | AWS, Azure, GCP |
| Industries served | Fintech, SaaS, Healthcare | Fintech, Retail, Manufacturing |
Rearc vs Xebia: overview
Rearc
Rearc was founded in 2016 and is headquartered in New York, with roughly 51-100 employees (74 reported directly) across North America, Asia, and Europe. The firm is an engineering-driven services company specializing in accelerating generative AI, data platform, and cloud platform development for enterprises.
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.
Services and capabilities: Rearc vs Xebia
| Capability | Rearc | Xebia |
|---|---|---|
| Enterprise automation | ✗ | ✓ |
| Agent orchestration | ✗ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✓ | ✗ |
| LLM integration | ✓ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Rearc vs Xebia
| Framework / platform | Rearc | Xebia |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | ✓ | ✓ |
Pricing comparison: Rearc vs Xebia
| Criterion | Rearc | Xebia |
|---|---|---|
| Minimum engagement | $30K | $50K |
| Engagement models | Dedicated team, T&M, Fixed project | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Rearc vs Xebia
| Dimension | Rearc | Xebia |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, SaaS, Healthcare | Fintech, Retail, Manufacturing |
| Best use cases | GenAI platform advisory and build, Data platform foundation for agents | AI-first transformation advisory, Internal AI capability training |
| Typical project type | Dedicated team | Retainer |
Rearc vs Xebia: pros and cons
| Rearc | |
|---|---|
| + | Engineering-first culture avoids the strategy-only-advisory pitfall of pure consulting firms |
| + | Focused practice areas (GenAI, data, cloud) rather than broad generalist consulting |
| + | US HQ simplifies contracting for North American enterprise buyers |
| - | Smaller team (51-100) limits capacity for very large multi-region programs |
| - | Younger firm (2016) has a shorter track record than legacy advisory houses |
| 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 |
Who should choose Rearc?
Rearc is the right choice for enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm.
Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off. Minimum engagement starts at $30K. Works best with clients in Fintech, SaaS, Healthcare.
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.
Decision matrix: Rearc vs Xebia
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Rearc |
| You need a large dedicated team for an ongoing programme | Rearc |
| Your budget is at the lower end | Rearc |
| You need specialist depth in a specific vertical | Rearc |
| 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: Rearc vs Xebia
| Use case | Rearc fit | Xebia fit | Winner |
|---|---|---|---|
| GenAI platform advisory and build | Strong | Limited | Rearc |
| Data platform foundation for agents | Strong | Limited | Rearc |
| AI-first transformation advisory | Limited | Strong | Xebia |
| Internal AI capability training | Limited | Strong | Xebia |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Rearc vs Xebia
Rearc (4.0/5) is the stronger overall choice for most AI Agent projects. Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off. It is best for enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm.
Xebia (3.9/5) is the better choice when enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams. If your situation matches those criteria, Xebia is a competitive option.
Related comparisons
Rearc vs Xebia FAQ
Is Rearc better than Xebia?
Rearc (4.0/5) scores higher overall, but "better" depends on your use case. Rearc is better for enterprises wanting an engineering-first advisory partner over a slide-deck-heavy strategy firm. Xebia is better for enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams.
How do Rearc and Xebia differ in pricing?
Rearc uses dedicated team, t&m pricing with a minimum engagement of $30K. Xebia uses retainer, dedicated team pricing with a minimum engagement of $50K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Rearc or Xebia?
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 Rearc and Xebia?
Rearc's primary differentiator is: engineering-driven identity — advisory work is delivered by the same team that builds, not handed off. Xebia's primary differentiator is: combines ai-first advisory with a formal training arm, useful for buyers who need internal capability building alongside delivery. They also differ in team size (51-100 vs 4501-6735), minimum engagement ($30K vs $50K), and primary industries served (Fintech, SaaS vs Fintech, Retail).