10Clouds vs Globant: full comparison for 2026
Quick verdict
10Clouds (4.1/5) edges ahead of Globant (3.9/5) overall. 10Clouds is the better choice for Banks, insurers and fintechs building AI features. 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.
10Clouds vs Globant: head-to-head summary
| Criterion | 10Clouds | Globant |
|---|---|---|
| Founded | 2009 | 2003 |
| HQ | Warsaw, Poland | Luxembourg (operations centered in Buenos Aires) |
| Team size | 100–200 | 28,500 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Financial-services AI focus with Claude partner status | Token-subscription pricing in place of seat-based staffing |
| Pricing model | Time and materials; fixed-term staff augmentation; rates on request | AI Pods subscription based on token consumption; traditional dedicated teams |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, Claude, OpenAI | Claude, OpenAI, Gemini |
| Industries served | Fintech, Banking, Insurance, SaaS | Media, Fintech, Retail, Travel, Healthcare |
10Clouds vs Globant: overview
10Clouds
10Clouds was founded in 2009 in Warsaw by Maciej Cielecki and others, and employs somewhere between 100 and 200 people depending on the source. It keeps an in-house product team and also supplies developers or designers to clients for fixed periods, a model it has used with U.S. clients such as Rippling. In 2026 it announced a merger with 10Clouds Financial Institutions, creating an AI unit for banks, insurers and fintechs, and it is a Select partner in the Claude Partner Network services track.
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: 10Clouds vs Globant
| Capability | 10Clouds | 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: 10Clouds vs Globant
| Framework / platform | 10Clouds | Globant |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | 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: 10Clouds vs Globant
| Criterion | 10Clouds | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Full-time dedicated engineers, Managed delivery | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: 10Clouds vs Globant
| Dimension | 10Clouds | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Banking, Insurance | Media, Fintech, Retail |
| Best use cases | Adding an agent developer to a bank's internal automation team, Staffing an LLM engineer for an insurer's claims product | 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 |
10Clouds vs Globant: pros and cons
| 10Clouds | |
|---|---|
| + | Clear industry focus on regulated financial services |
| + | Claude Partner Network status for teams building on Anthropic models |
| + | Has worked as an embedded team for U.S. scale-ups |
| - | The 2026 merger means leadership and structure are still settling |
| - | Small bench for large placements |
| - | Rates not published |
| 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 10Clouds?
A typical fit: adding an agent developer to a bank's internal automation team.
Financial-services AI focus with Claude partner status. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Banking, Insurance, SaaS.
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: 10Clouds 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 | 10Clouds |
| Your budget is at the lower end | Compare: 10Clouds (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: 10Clouds vs Globant
| Use case | 10Clouds fit | Globant fit | Winner |
|---|---|---|---|
| Adding an agent developer to a bank's internal automation team | Strong | Limited | 10Clouds |
| Staffing an LLM engineer for an insurer's claims product | Strong | Limited | 10Clouds |
| Buying AI-assisted engineering capacity on a subscription | Limited | Strong | Globant |
| Large LatAm-based teams for media and entertainment companies | Limited | Strong | Globant |
Verdict: 10Clouds vs Globant
10Clouds (4.1/5) is the stronger overall choice for most AI Staffing projects. Financial-services AI focus with Claude partner status.
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.
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10Clouds vs Globant FAQ
Is 10Clouds better than Globant?
10Clouds (4.1/5) scores higher overall, but "better" depends on your use case. 10Clouds's strongest advantage: clear industry focus on regulated financial services. Globant's strongest advantage: novel pricing model tied to delivered output.
How do 10Clouds and Globant differ in pricing?
10Clouds uses time and materials; fixed-term staff augmentation; 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: 10Clouds or Globant?
10Clouds 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 10Clouds and Globant?
10Clouds's primary differentiator is: financial-services AI focus with Claude partner status. Globant's primary differentiator is: token-subscription pricing in place of seat-based staffing. They also differ in team size (100–200 vs 28,500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Banking vs Media, Fintech).
Verify all details directly with each agency before making a decision.