X-Team vs Globant: full comparison for 2026
Quick verdict
X-Team (4.0/5) edges ahead of Globant (3.9/5) overall. X-Team is the better choice for media and gaming teams adding long-term remote developers. Globant is the stronger option for enterprises open to outcome-priced AI delivery. The right choice depends on your project size, budget, and required tech stack.
X-Team vs Globant: head-to-head summary
| Criterion | X-Team | Globant |
|---|---|---|
| Founded | 2006 | 2003 |
| HQ | Remote (no central office) | Luxembourg (operations centered in Buenos Aires) |
| Team size | 5,000+ developer network | 28,500 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | Developer-community model aimed at long placements | Token-subscription pricing in place of seat-based staffing |
| Pricing model | Monthly per developer; squads; rates on request | AI Pods subscription based on token consumption; traditional dedicated teams |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, TensorFlow, PyTorch | Claude, OpenAI, Gemini |
| Industries served | Media, Gaming, Education, Fintech | Media, Fintech, Retail, Travel, Healthcare |
X-Team vs Globant: overview
X-Team
X-Team says it was founded in 2006 and operates as a fully remote company without a central office; one directory lists a 2020 date for its current Australian parent entity. It embeds long-term engineers and squads in client teams and lists clients such as Fox, Riot Games and Kaplan. Its AI developers cover Python, TensorFlow, PyTorch and LLM work, drawn from a pool it puts at more than 5,000 senior developers with retention of about 96–97% (per company website; independently unverifiable).
Globant
Globant was founded in Buenos Aires in 2003 and is incorporated in Luxembourg, with about 28,500 employees as of mid-2026. Since June 2025 it has sold AI Pods, a subscription priced on token consumption in which Globant experts supervise AI-agent workflows that produce software. In June 2026 it announced a multi-year alliance with Anthropic and joined the Claude Partner Network as a preferred services partner. The pod model is managed delivery, so buyers looking for classic seat-based staffing should ask about it specifically.
Services and capabilities: X-Team vs Globant
| Capability | X-Team | 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: X-Team vs Globant
| Framework / platform | X-Team | Globant |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: X-Team vs Globant
| Criterion | X-Team | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: X-Team vs Globant
| Dimension | X-Team | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Media, Gaming, Education | Media, Fintech, Retail |
| Best use cases | Adding a Python ML developer to a media company's product team, Long-term squad for a gaming platform with recommendation features | Buying AI-assisted engineering capacity on a subscription, Large LatAm-based teams for media and entertainment companies |
| Typical project type | Full-time dedicated engineers | Dedicated team |
X-Team vs Globant: pros and cons
| X-Team | |
|---|---|
| + | Built for long engagements, with high reported retention |
| + | Named media and gaming clients |
| + | Can supply whole squads |
| - | General software focus; AI depth varies |
| - | Founding and entity details are inconsistent across sources |
| - | No published rates |
| Globant | |
|---|---|
| + | Novel pricing model tied to delivered output |
| + | Large LatAm workforce in U.S.-friendly time zones |
| + | Anthropic alliance gives early access to Claude tooling |
| - | Pods are managed delivery; individual augmentation is secondary |
| - | Company is in the middle of a strategy shift after a steep share-price fall |
| - | Enterprise sales cycle |
Who should choose X-Team?
A typical fit: adding a Python ML developer to a media company's product team.
Developer-community model aimed at long placements. Minimum engagement is not publicly disclosed. Works best with clients in Media, Gaming, Education, Fintech.
Who should choose Globant?
A typical fit: buying AI-assisted engineering capacity on a subscription.
Token-subscription pricing in place of seat-based staffing. Minimum engagement is not publicly disclosed. Works best with clients in Media, Fintech, Retail, Travel, Healthcare.
Decision matrix: X-Team vs Globant
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | X-Team |
| Your budget is at the lower end | Compare: X-Team (Not disclosed) vs Globant (Not disclosed) |
| You need specialist depth in a specific vertical | Globant |
| 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: X-Team vs Globant
| Use case | X-Team fit | Globant fit | Winner |
|---|---|---|---|
| Adding a Python ML developer to a media company's product team | Strong | Limited | X-Team |
| Long-term squad for a gaming platform with recommendation features | Strong | Limited | X-Team |
| Buying AI-assisted engineering capacity on a subscription | Limited | Strong | Globant |
| Large LatAm-based teams for media and entertainment companies | Limited | Strong | Globant |
Verdict: X-Team vs Globant
X-Team (4.0/5) is the stronger overall choice for most AI Staffing projects. Developer-community model aimed at long placements.
Globant (3.9/5) is worth a look if you need large LatAm-based teams for media and entertainment companies. If your situation matches that, Globant is a competitive option.
Related comparisons
X-Team vs Globant FAQ
Is X-Team better than Globant?
X-Team (4.0/5) scores higher overall, but "better" depends on your use case. X-Team's strongest advantage: built for long engagements, with high reported retention. Globant's strongest advantage: novel pricing model tied to delivered output.
How do X-Team and Globant differ in pricing?
X-Team uses monthly per developer; squads; rates on request pricing. Globant uses ai pods subscription based on token consumption; traditional dedicated teams pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: X-Team 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 agency before shortlisting.
What are the main differences between X-Team and Globant?
X-Team's primary differentiator is: developer-community model aimed at long placements. Globant's primary differentiator is: token-subscription pricing in place of seat-based staffing. They also differ in team size (5,000+ developer network vs 28,500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Media, Gaming vs Media, Fintech).
Verify all details directly with each agency before making a decision.