RTS Labs vs Xebia: full comparison for 2026
Quick verdict
RTS Labs (4.1/5) edges ahead of Xebia (3.9/5) overall. RTS Labs is the better choice for enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI. 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.
RTS Labs vs Xebia: head-to-head summary
| Criterion | RTS Labs | Xebia |
|---|---|---|
| Founded | 2010 | 2001 |
| HQ | Richmond, VA, USA | Atlanta, GA, USA |
| Team size | 51-100 | 4501-6735 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Best for | Enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI | Enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams |
| Pricing model | Fixed project, retainer | Retainer, dedicated team |
| Min. engagement | $25K | $50K |
| Primary tech stack | Azure, AWS, OpenAI | AWS, Azure, GCP |
| Industries served | Manufacturing, Healthcare, Logistics | Fintech, Retail, Manufacturing |
RTS Labs vs Xebia: overview
RTS Labs
RTS Labs was founded in 2010 and is headquartered in Richmond, Virginia, with roughly 80-100 staff spread across North America, Asia, and Europe. The firm positions itself as a boutique enterprise AI consultancy focused on moving clients from pilot projects to measurable production ROI, with the architecture and guardrails advisory to support that transition.
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: RTS Labs vs Xebia
| Capability | RTS Labs | Xebia |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✗ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: RTS Labs vs Xebia
| Framework / platform | RTS Labs | 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 | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: RTS Labs vs Xebia
| Criterion | RTS Labs | Xebia |
|---|---|---|
| Minimum engagement | $25K | $50K |
| Engagement models | Fixed project, Retainer | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: RTS Labs vs Xebia
| Dimension | RTS Labs | Xebia |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Healthcare, Logistics | Fintech, Retail, Manufacturing |
| Best use cases | Pilot-to-production advisory, Enterprise workflow automation strategy | AI-first transformation advisory, Internal AI capability training |
| Typical project type | Fixed project | Retainer |
RTS Labs vs Xebia: pros and cons
| RTS Labs | |
|---|---|
| + | 15+ years of enterprise consulting predating the current AI-agent wave |
| + | Explicit advisory focus on production guardrails, not just pilot demos |
| + | US-based HQ eases enterprise procurement and data-residency conversations |
| - | Mid-size team (~80-100) limits capacity for very large multi-workstream programs |
| - | Less agent-framework-specific public documentation than pure-play agent advisory firms |
| 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 RTS Labs?
RTS Labs is the right choice for enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI.
Explicit pilot-to-production advisory focus with named architecture/guardrails methodology. Minimum engagement starts at $25K. Works best with clients in Manufacturing, Healthcare, Logistics.
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: RTS Labs vs Xebia
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | RTS Labs |
| You need a large dedicated team for an ongoing programme | Xebia |
| Your budget is at the lower end | RTS Labs |
| You need specialist depth in a specific vertical | RTS Labs |
| 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: RTS Labs vs Xebia
| Use case | RTS Labs fit | Xebia fit | Winner |
|---|---|---|---|
| Pilot-to-production advisory | Strong | Limited | RTS Labs |
| Enterprise workflow automation strategy | Strong | Strong | Both equally |
| 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: RTS Labs vs Xebia
RTS Labs (4.1/5) is the stronger overall choice for most AI Agent projects. Explicit pilot-to-production advisory focus with named architecture/guardrails methodology. It is best for enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI.
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.
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RTS Labs vs Xebia FAQ
Is RTS Labs better than Xebia?
RTS Labs (4.1/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for enterprises stuck at the AI pilot stage that need advisory to reach measurable production ROI. Xebia is better for enterprises wanting AI advisory paired with a dedicated internal training practice for upskilling teams.
How do RTS Labs and Xebia differ in pricing?
RTS Labs uses fixed project, retainer pricing with a minimum engagement of $25K. 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: RTS Labs 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 RTS Labs and Xebia?
RTS Labs's primary differentiator is: explicit pilot-to-production advisory focus with named architecture/guardrails methodology. 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 ($25K vs $50K), and primary industries served (Manufacturing, Healthcare vs Fintech, Retail).