RTS Labs vs Globant: full comparison for 2026
Quick verdict
RTS Labs (4.4/5) edges ahead of Globant (4.1/5) overall. RTS Labs is the better choice for U.S. firms needing onshore-only delivery. Globant is the stronger option for buyers wanting subscription pricing on AI delivery. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Globant: head-to-head summary
| Criterion | RTS Labs | Globant |
|---|---|---|
| Founded | 2010 | 2003 |
| HQ | Richmond, VA, USA | Luxembourg (founded in Buenos Aires) |
| Team size | 100+ | 28,500+ |
| Rating | 4.4 / 5 | 4.1 / 5 |
| Primary differentiator | All-U.S. engineering team and early MCP integration work | AI Pods priced by output or consumption instead of hours |
| Pricing model | Fixed-scope phases and time & materials; rates on request | Subscription AI Pods, time & materials, and managed services; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, Microsoft Dynamics 365, Snowflake | Azure OpenAI, AWS Bedrock, Salesforce |
| Industries served | Logistics, Insurance, Legal, Financial services, Real estate, Healthcare | Media, Retail & e-commerce, Financial services, Healthcare |
RTS Labs vs Globant: overview
RTS Labs
RTS Labs has been building software since 2010 from Richmond, Virginia, and now positions itself as an applied-AI consultancy. Its 100-plus staff are all U.S.-based, which matters for clients that can't send data or system access offshore. The firm says it has shipped over 600 software and AI systems and that core implementations usually reach production in 8–12 weeks (per company website; independently unverifiable). It's also one of the few mid-size firms publicly building Model Context Protocol (MCP) server integrations for enterprise tools.
Globant
Globant was founded in Buenos Aires in 2003, is now legally headquartered in Luxembourg, and employs more than 28,500 people in over 30 countries. Its notable pricing change is the AI Pods model: clients subscribe to AI-assisted delivery units and pay for output or consumption rather than staff hours. Glob.AI annual recurring revenue reached $52.8 million in Q2 2026. The company cut its 2026 revenue forecast that quarter, citing slower North American decisions.
Services and capabilities: RTS Labs vs Globant
| Capability | RTS Labs | Globant |
|---|---|---|
| CRM / ERP integration | ✓ | ✗ |
| LLM API gateway & cost control | ✓ | ✗ |
| Document processing | ✗ | ✗ |
| Conversational AI | ✗ | ✓ |
| Agentic workflows | ✓ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✓ | ✓ |
Tech stack comparison: RTS Labs vs Globant
| Framework / platform | RTS Labs | Globant |
|---|---|---|
| Salesforce | ✓ | ✓ |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | ✓ | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | N/A | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: RTS Labs vs Globant
| Criterion | RTS Labs | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Managed services | Time & materials, Managed services, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: RTS Labs vs Globant
| Dimension | RTS Labs | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Logistics, Insurance, Legal | Media, Retail & e-commerce, Financial services |
| Best use cases | Connecting an agent to a TMS (transportation management system) and ERP for freight exceptions, Building MCP servers so assistants can query internal tools | Ongoing AI feature delivery on a monthly subscription, Customer-experience agents for media and retail brands |
| Typical project type | Fixed-scope project | Time & materials |
RTS Labs vs Globant: pros and cons
| RTS Labs | |
|---|---|
| + | Every engineer is U.S.-based, which simplifies data-residency and security reviews. |
| + | MCP server work lets agents call internal tools through one standard interface. |
| + | Logistics and insurance case work ties AI into operational systems. |
| + | Offers ongoing support once a system is live. |
| - | Onshore-only staffing means higher rates than nearshore firms |
| - | Its published timelines vary between 90 days and 8–12 weeks depending on the page |
| - | No hyperscaler partner tier is prominent in its materials |
| Globant | |
|---|---|
| + | Subscription pricing changes the cost conversation away from hourly rates. |
| + | Large nearshore bench in Latin America with U.S. time-zone overlap. |
| + | Strong media and entertainment portfolio. |
| + | Public reporting on Glob.AI revenue. |
| - | Lowered 2026 revenue guidance signals pressure on the business |
| - | Subscription pods are new, with limited public results to judge |
| - | Too large a commitment for a single-system integration |
Who should choose RTS Labs?
A typical fit: connecting an agent to a TMS (transportation management system) and ERP for freight exceptions.
All-U.S. engineering team and early MCP integration work. Minimum engagement is not publicly disclosed. Works best with clients in Logistics, Insurance, Legal, Financial services, Real estate, Healthcare.
Who should choose Globant?
A typical fit: ongoing AI feature delivery on a monthly subscription.
AI Pods priced by output or consumption instead of hours. Minimum engagement is not publicly disclosed. Works best with clients in Media, Retail & e-commerce, Financial services, Healthcare.
Decision matrix: RTS Labs vs Globant
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Both offer managed services |
| Your budget is at the lower end | Compare: RTS Labs (Not disclosed) vs Globant (Not disclosed) |
| The AI has to read and write in your CRM or ERP | RTS Labs |
| You need multi-step agents acting across systems | Both build agentic workflows |
| You need a large team for a multi-year program | Globant |
Use case fit: RTS Labs vs Globant
| Use case | RTS Labs fit | Globant fit | Winner |
|---|---|---|---|
| Connecting an agent to a TMS (transportation management system) and ERP for freight exceptions | Strong | Limited | RTS Labs |
| Building MCP servers so assistants can query internal tools | Strong | Limited | RTS Labs |
| Ongoing AI feature delivery on a monthly subscription | Limited | Strong | Globant |
| Customer-experience agents for media and retail brands | Limited | Strong | Globant |
Verdict: RTS Labs vs Globant
RTS Labs (4.4/5) is the stronger overall choice for most AI Integration Services projects. All-U.S. engineering team and early MCP integration work.
Globant (4.1/5) is worth a look if you need customer-experience agents for media and retail brands. If your situation matches that, Globant is a competitive option.
Related comparisons
RTS Labs vs Globant FAQ
Is RTS Labs better than Globant?
RTS Labs (4.4/5) scores higher overall, but "better" depends on your use case. RTS Labs's strongest advantage: every engineer is U.S.-based, which simplifies data-residency and security reviews. Globant's strongest advantage: subscription pricing changes the cost conversation away from hourly rates.
How do RTS Labs and Globant differ in pricing?
RTS Labs's pricing: fixed-scope phases and time & materials; rates on request. Globant's pricing: subscription AI Pods, time & materials, and managed services; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: RTS Labs or Globant?
Globant is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between RTS Labs and Globant?
RTS Labs's primary differentiator is: All-U.S. engineering team and early MCP integration work. Globant's primary differentiator is: AI Pods priced by output or consumption instead of hours. They also differ in team size (100+ vs 28,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Logistics, Insurance vs Media, Retail & e-commerce).
Verify all details directly with each provider before making a decision.