RTS Labs vs Globant: full comparison for 2026
Quick verdict
RTS Labs (4.1/5) edges ahead of Globant (4.0/5) overall. RTS Labs is the better choice for US mid-market firms on a small budget. Globant is the stronger option for US firms wanting nearshore AI engineering. The right choice depends on how far your pilot has got, your budget, and who will run the system after launch.
RTS Labs vs Globant: head-to-head summary
| Criterion | RTS Labs | Globant |
|---|---|---|
| Founded | 2010 | 2003 |
| HQ | Glen Allen, USA | Luxembourg (operations: Buenos Aires) |
| Team size | 100+ | 28,500+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | The lowest entry point on this page, with a committed ship date for production code | Nearshore Latin American engineering teams in US time zones |
| Pricing model | Fixed-scope projects; $25–$49/hr (Clutch band) | Time & materials and dedicated teams; rates not published |
| Min. engagement | $5,000+ (Clutch) | Not disclosed |
| Primary tech stack | AWS, Azure, Python | Google Cloud, AWS, Azure |
| Industries served | Logistics, Financial services, Healthcare, Manufacturing, Retail | Media, Retail, Financial services, Travel, Healthcare |
RTS Labs vs Globant: overview
RTS Labs
RTS Labs is based in the Richmond, Virginia area and says it has 100+ US-based staff (per company website; independently unverifiable). It gives 2010 as its founding year, though Clutch lists 2012. The firm promises production-grade code with a defined ship date and quotes eight to twelve weeks from brief to production for its main implementations (per company website). Clutch lists $25–$49 an hour and a $5,000+ minimum, the lowest entry point on this page.
Globant
Globant was founded in 2003 in Buenos Aires, is legally domiciled in Luxembourg, and employs more than 28,500 people. It is listed on the New York Stock Exchange. Its AI work runs through studios that combine design and engineering, with nearshore delivery that keeps time zones close for US clients. Production AI usually comes inside a wider digital product program.
Services and capabilities: RTS Labs vs Globant
| Capability | RTS Labs | Globant |
|---|---|---|
| LLM gateway & model routing | ✗ | ✗ |
| Regression tests on prompt and model changes | ✗ | ✗ |
| Canary or staged rollout | ✗ | ✗ |
| Hallucination and drift monitoring | ✗ | ✗ |
| MLOps & model serving | ✗ | ✗ |
| Fixed-scope pilot | ✓ | ✗ |
| Managed run after launch | ✗ | ✗ |
Tech stack comparison: RTS Labs vs Globant
| Framework / platform | RTS Labs | Globant |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | ✓ |
| Kubernetes | N/A | N/A |
| MLflow | N/A | N/A |
| Databricks | N/A | ✓ |
| Amazon Bedrock | N/A | N/A |
| Vertex AI | N/A | N/A |
| LangChain | N/A | N/A |
| Snowflake | ✓ | N/A |
Pricing comparison: RTS Labs vs Globant
| Criterion | RTS Labs | Globant |
|---|---|---|
| Minimum engagement | $5,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed-scope pilot, Fixed-scope project, Dedicated team | Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: RTS Labs vs Globant
| Dimension | RTS Labs | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Logistics, Financial services, Healthcare | Media, Retail, Financial services |
| Best use cases | Shipping one AI workflow to production in a few months., Logistics and operations agents for mid-size US firms. | AI features inside consumer digital products., Nearshore AI engineering teams for US companies. |
| Typical project type | Fixed-scope pilot | Time & materials |
RTS Labs vs Globant: pros and cons
| RTS Labs | |
|---|---|
| + | A $5,000+ Clutch minimum is the lowest on this page |
| + | Commits to a ship date, which keeps pilots from drifting |
| + | All-US team for clients that need domestic staff |
| + | Connects AI to logistics and operational systems |
| - | Less visible LLMOps tooling than the specialists |
| - | Founding year and headcount differ between its site and Clutch |
| - | US-only team |
| Globant | |
|---|---|
| + | Nearshore teams share working hours with US clients |
| + | Large design and engineering capacity |
| + | Public company with regular disclosures |
| - | AI is one part of a broad digital business |
| - | Large-firm process for small pilots |
| - | Rates not published |
Who should choose RTS Labs?
A typical fit: shipping one AI workflow to production in a few months.
The lowest entry point on this page, with a committed ship date for production code. Minimum engagement starts at $5,000+ (Clutch). Works best with clients in Logistics, Financial services, Healthcare, Manufacturing, Retail.
Who should choose Globant?
A typical fit: AI features inside consumer digital products.
Nearshore Latin American engineering teams in US time zones. Minimum engagement is not publicly disclosed. Works best with clients in Media, Retail, Financial services, Travel, Healthcare.
Decision matrix: RTS Labs vs Globant
| Your situation | Recommended choice |
|---|---|
| Your pilot works but nobody trusts it in production yet | Ask each for its release and rollback process |
| Model API spend is growing faster than usage | Neither lists a gateway; ask how cost per feature is tracked |
| You need someone to watch quality after launch | Neither; plan for your own team to monitor it |
| You run classic ML models that need serving and retraining | Neither lists MLOps; check each profile |
| You want a priced pilot before a full rollout | RTS Labs |
| Your budget is at the lower end | Compare: RTS Labs ($5,000+ (Clutch)) vs Globant (Not disclosed) |
| You need a large team for many products at once | Globant |
Use case fit: RTS Labs vs Globant
| Use case | RTS Labs fit | Globant fit | Winner |
|---|---|---|---|
| Shipping one AI workflow to production in a few months. | Strong | Limited | RTS Labs |
| Logistics and operations agents for mid-size US firms. | Strong | Limited | RTS Labs |
| AI features inside consumer digital products. | Limited | Strong | Globant |
| Nearshore AI engineering teams for US companies. | Limited | Strong | Globant |
Verdict: RTS Labs vs Globant
RTS Labs (4.1/5) is the stronger overall choice for most AI Implementation projects. The lowest entry point on this page, with a committed ship date for production code.
Globant (4.0/5) is worth a look if you need nearshore AI engineering teams for US companies. 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 (4.1/5) scores higher overall, but "better" depends on your use case. RTS Labs's strongest advantage: a $5,000+ Clutch minimum is the lowest on this page. Globant's strongest advantage: nearshore teams share working hours with US clients.
How do RTS Labs and Globant differ in pricing?
RTS Labs's pricing: fixed-scope projects; $25–$49/hr (Clutch band) with a minimum engagement of $5,000+ (Clutch). Globant's pricing: time & materials and dedicated teams; rates not published. 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: the lowest entry point on this page, with a committed ship date for production code. Globant's primary differentiator is: nearshore Latin American engineering teams in US time zones. They also differ in team size (100+ vs 28,500+), minimum engagement ($5,000+ (Clutch) vs Not disclosed), and primary industries served (Logistics, Financial services vs Media, Retail).
Verify all details directly with each provider before making a decision.