Globant vs Encora: full comparison for 2026
Quick verdict
Globant (4.1/5) edges ahead of Encora (4.0/5) overall. Globant is the better choice for enterprises wanting AI capacity on a subscription model. Encora is the stronger option for U.S. firms wanting nearshore AI teams from a large provider. The right choice depends on your project size, budget, and required tech stack.
Globant vs Encora: head-to-head summary
| Criterion | Globant | Encora |
|---|---|---|
| Founded | 2003 | 2005 |
| HQ | Luxembourg | Scottsdale, Arizona, USA |
| Team size | 28,000+ | 9,500+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Subscription-based AI Pods as an alternative to per-engineer billing | Large Mexican and Latin American delivery base with an AI engineering practice |
| Pricing model | AI Pods monthly subscription with token-based capacity; staff augmentation and SOW contracts; rates on request | Dedicated teams; time and materials; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, Azure ML | Python, OpenAI, AWS |
| Industries served | Media, Financial services, Travel, Retail & e-commerce, Healthcare & life sciences | Software & SaaS, Healthcare & life sciences, Financial services, Travel |
Globant vs Encora: overview
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.
Encora
Encora was founded in 2005 and is headquartered in Scottsdale, Arizona. It took its current name in 2020 after combining subsidiaries including Nearsoft, and it later absorbed Avantica. The company reports more than 9,500 engineers, designers and domain experts across the Americas, Europe, India and Southeast Asia, with AI and LLM engineering among its service lines. In December 2025 the Indian IT firm Coforge agreed to acquire Encora for about $2.35 billion, and Coforge said in April 2026 that all regulatory clearances had been received.
Services and capabilities: Globant vs Encora
| Capability | Globant | Encora |
|---|---|---|
| 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: Globant vs Encora
| Framework / platform | Globant | Encora |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Globant vs Encora
| Criterion | Globant | Encora |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Managed delivery, Full-time dedicated engineers | Dedicated team, Full-time dedicated engineers, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Globant vs Encora
| Dimension | Globant | Encora |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media, Financial services, Travel | Software & SaaS, Healthcare & life sciences, Financial services |
| Best use cases | Buying a monthly AI engineering pod for a marketing-tech roadmap, Staffing agent development across several brands | Building a nearshore team for a SaaS product's AI roadmap, Adding data and LLM engineers to a healthcare platform |
| Typical project type | Dedicated team | Dedicated team |
Globant vs Encora: pros and cons
| 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 |
| Encora | |
|---|---|
| + | Nearshore delivery from Mexico and Latin America on U.S. hours |
| + | Scale to staff several teams at once |
| + | AI work is a named service line with its own platform |
| - | The Coforge acquisition may change account management, pricing and contract terms |
| - | Dedicated teams are the norm, so single-seat placements are less common |
| - | AI depth varies by delivery center |
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.
Who should choose Encora?
A typical fit: building a nearshore team for a SaaS product's AI roadmap.
Large Mexican and Latin American delivery base with an AI engineering practice. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Healthcare & life sciences, Financial services, Travel.
Decision matrix: Globant vs Encora
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; Globant rates higher overall |
| You want the supplier to own delivery as well as staffing | Both; Globant 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: Globant (Not published) vs Encora (Not published) |
| You need overlap with U.S. working hours | Both; Globant rates higher overall |
| You need specialist depth in a specific vertical | Globant |
Use case fit: Globant vs Encora
| Use case | Globant fit | Encora fit | Winner |
|---|---|---|---|
| Buying a monthly AI engineering pod for a marketing-tech roadmap | Strong | Limited | Globant |
| Staffing agent development across several brands | Strong | Limited | Globant |
| Building a nearshore team for a SaaS product's AI roadmap | Limited | Strong | Encora |
| Adding data and LLM engineers to a healthcare platform | Limited | Strong | Encora |
Verdict: Globant vs Encora
Globant (4.1/5) is the stronger overall choice for most AI Staff Augmentation projects. Subscription-based AI Pods as an alternative to per-engineer billing.
Encora (4.0/5) is worth a look if you need adding data and LLM engineers to a healthcare platform. If your situation matches that, Encora is a competitive option.
Related comparisons
Globant vs Encora FAQ
Is Globant better than Encora?
Globant (4.1/5) scores higher overall, but "better" depends on your use case. Globant's strongest advantage: AI Pods give finance teams a predictable monthly cost. Encora's strongest advantage: nearshore delivery from Mexico and Latin America on U.S. hours.
How do Globant and Encora differ in pricing?
Globant uses ai pods monthly subscription with token-based capacity; staff augmentation and sow contracts; rates on request pricing. Encora uses dedicated teams; time and materials; 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: Globant or Encora?
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 Globant and Encora?
Globant's primary differentiator is: subscription-based AI Pods as an alternative to per-engineer billing. Encora's primary differentiator is: large Mexican and Latin American delivery base with an AI engineering practice. They also differ in team size (28,000+ vs 9,500+), minimum engagement (Not published vs Not published), and primary industries served (Media, Financial services vs Software & SaaS, Healthcare & life sciences).
Verify all details directly with each company before making a decision.