Andela vs Globant: full comparison for 2026
Quick verdict
Andela (4.2/5) edges ahead of Globant (4.1/5) overall. Andela is the better choice for enterprises building blended global teams with AI skills. Globant is the stronger option for enterprises wanting AI capacity on a subscription model. The right choice depends on your project size, budget, and required tech stack.
Andela vs Globant: head-to-head summary
| Criterion | Andela | Globant |
|---|---|---|
| Founded | 2014 | 2003 |
| HQ | New York, New York, USA | Luxembourg |
| Team size | Network of 17,000+ certified engineers (per company) | 28,000+ |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | A marketplace that certifies engineers on AI skills before placement | Subscription-based AI Pods as an alternative to per-engineer billing |
| Pricing model | Marketplace placement fees and managed team pricing; rates on request | AI Pods monthly subscription with token-based capacity; staff augmentation and SOW contracts; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, OpenAI | Python, OpenAI, Azure ML |
| Industries served | Software & SaaS, Financial services, Media, Retail & e-commerce | Media, Financial services, Travel, Retail & e-commerce, Healthcare & life sciences |
Andela vs Globant: overview
Andela
Andela was founded in 2014 with a focus on African software talent and is now headquartered in New York. It operates as a talent marketplace across more than 135 countries and says its network includes 17,000 certified AI-native engineers (per company website; independently unverifiable). The company sells blended teams of placed engineers, AI system development and training services. CEO Carrol Chang has led the company since September 2024.
Globant
Globant was founded in Buenos Aires in 2003 and is now headquartered in Luxembourg. The NYSE-listed company reported 28,773 employees at the end of 2025. In 2025 it launched AI Pods, a monthly subscription for AI-assisted engineering capacity metered by tokens. Third-party reviews say classic staff augmentation runs mainly through Belatrix, a firm Globant acquired, while large accounts usually buy managed pods or statements of work.
Services and capabilities: Andela vs Globant
| Capability | Andela | Globant |
|---|---|---|
| LLM / GenAI engineers | ✓ | ✓ |
| MLOps & deployment | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✗ | ✓ |
| AI agent development | ✗ | ✓ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✓ |
Tech stack comparison: Andela vs Globant
| Framework / platform | Andela | Globant |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | N/A | ✓ |
Pricing comparison: Andela vs Globant
| Criterion | Andela | Globant |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Dedicated team, Managed delivery, Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Andela vs Globant
| Dimension | Andela | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, Financial services, Media | Media, Financial services, Travel |
| Best use cases | Building a follow-the-sun AI support team across regions, Adding LLM application developers to a global product org | Buying a monthly AI engineering pod for a marketing-tech roadmap, Staffing agent development across several brands |
| Typical project type | Full-time dedicated engineers | Dedicated team |
Andela vs Globant: pros and cons
| Andela | |
|---|---|
| + | Large global network spanning more than 135 countries |
| + | AI certification gives a baseline signal before you interview |
| + | Can mix placed engineers with Andela-run delivery when you lack management capacity |
| - | Engineers come through a marketplace, so continuity depends on each contractor |
| - | Certification measures skills on paper rather than production experience |
| - | Time-zone overlap varies widely depending on where the match comes from |
| Globant | |
|---|---|
| + | AI Pods give finance teams a predictable monthly cost |
| + | Large Latin American delivery footprint on U.S.-friendly hours |
| + | Public-company governance suits procurement-heavy buyers |
| - | Individual staff augmentation is a side channel run largely through the acquired Belatrix business |
| - | Headcount fell about 8% during 2025, according to Bloomberg Línea |
| - | Pod and token-based pricing is hard to compare with per-engineer quotes |
Who should choose Andela?
A typical fit: building a follow-the-sun AI support team across regions.
A marketplace that certifies engineers on AI skills before placement. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Financial services, Media, Retail & e-commerce.
Who should choose Globant?
A typical fit: buying a monthly AI engineering pod for a marketing-tech roadmap.
Subscription-based AI Pods as an alternative to per-engineer billing. Minimum engagement is not publicly disclosed. Works best with clients in Media, Financial services, Travel, Retail & e-commerce, Healthcare & life sciences.
Decision matrix: Andela vs Globant
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; Andela rates higher overall |
| You want the supplier to own delivery as well as staffing | Both; Andela rates higher overall |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| You want to test an engineer before signing for months | Neither publishes a trial; ask for a short first term |
| Your budget is at the lower end | Compare: Andela (Not published) vs Globant (Not published) |
| You need overlap with U.S. working hours | Globant |
| You need specialist depth in a specific vertical | Globant |
Use case fit: Andela vs Globant
| Use case | Andela fit | Globant fit | Winner |
|---|---|---|---|
| Building a follow-the-sun AI support team across regions | Strong | Limited | Andela |
| Adding LLM application developers to a global product org | Strong | Limited | Andela |
| Buying a monthly AI engineering pod for a marketing-tech roadmap | Limited | Strong | Globant |
| Staffing agent development across several brands | Limited | Strong | Globant |
Verdict: Andela vs Globant
Andela (4.2/5) is the stronger overall choice for most AI Staff Augmentation projects. A marketplace that certifies engineers on AI skills before placement.
Globant (4.1/5) is worth a look if you need staffing agent development across several brands. If your situation matches that, Globant is a competitive option.
Related comparisons
Andela vs Globant FAQ
Is Andela better than Globant?
Andela (4.2/5) scores higher overall, but "better" depends on your use case. Andela's strongest advantage: large global network spanning more than 135 countries. Globant's strongest advantage: AI Pods give finance teams a predictable monthly cost.
How do Andela and Globant differ in pricing?
Andela uses marketplace placement fees and managed team pricing; rates on request pricing. Globant uses ai pods monthly subscription with token-based capacity; staff augmentation and sow contracts; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Andela 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 company before shortlisting.
What are the main differences between Andela and Globant?
Andela's primary differentiator is: a marketplace that certifies engineers on AI skills before placement. Globant's primary differentiator is: subscription-based AI Pods as an alternative to per-engineer billing. They also differ in team size (Network of 17,000+ certified engineers (per company) vs 28,000+), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, Financial services vs Media, Financial services).
Verify all details directly with each company before making a decision.