Netguru vs Globant: full comparison for 2026
Quick verdict
Netguru (4.0/5) edges ahead of Globant (3.9/5) overall. Netguru is the better choice for consumer brands adding AI to digital products. 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.
Netguru vs Globant: head-to-head summary
| Criterion | Netguru | Globant |
|---|---|---|
| Founded | 2008 | 2003 |
| HQ | Poznań, Poland | Luxembourg (operations centered in Buenos Aires) |
| Team size | 500–999 | 28,500 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | Design and product talent alongside AI engineers | Token-subscription pricing in place of seat-based staffing |
| Pricing model | Time and materials; team augmentation; rates on request | AI Pods subscription based on token consumption; traditional dedicated teams |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, OpenAI, LangChain | Claude, OpenAI, Gemini |
| Industries served | Retail and e-commerce, Fintech, Proptech, Mobility | Media, Fintech, Retail, Travel, Healthcare |
Netguru vs Globant: overview
Netguru
Netguru was founded in 2008 and is based in Poznań, Poland, with 500–999 employees according to several directories. It is a certified B Corporation whose clients include IKEA, Volkswagen, OLX and Vinted. Staff augmentation and delivery centers are listed among its engagement models, and AI development is part of its service line next to mobile, web and design work.
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: Netguru vs Globant
| Capability | Netguru | 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: Netguru vs Globant
| Framework / platform | Netguru | 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: Netguru vs Globant
| Criterion | Netguru | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Managed delivery | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Netguru vs Globant
| Dimension | Netguru | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail and e-commerce, Fintech, Proptech | Media, Fintech, Retail |
| Best use cases | Adding an LLM feature team to a consumer app, Augmenting a retailer's digital team with GenAI and design skills | Buying AI-assisted engineering capacity on a subscription, Large LatAm-based teams for media and entertainment companies |
| Typical project type | Dedicated team | Dedicated team |
Netguru vs Globant: pros and cons
| Netguru | |
|---|---|
| + | Well-known enterprise and consumer client list |
| + | Product designers and engineers can join together |
| + | B Corp certification may matter to ESG-focused buyers |
| - | AI is a newer service line within a product agency |
| - | Agency rates sit at the higher end for Poland |
| - | Less suited to single-seat ML hires |
| 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 Netguru?
A typical fit: adding an LLM feature team to a consumer app.
Design and product talent alongside AI engineers. Minimum engagement is not publicly disclosed. Works best with clients in Retail and e-commerce, Fintech, Proptech, Mobility.
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: Netguru 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 | Netguru |
| Your budget is at the lower end | Compare: Netguru (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: Netguru vs Globant
| Use case | Netguru fit | Globant fit | Winner |
|---|---|---|---|
| Adding an LLM feature team to a consumer app | Strong | Limited | Netguru |
| Augmenting a retailer's digital team with GenAI and design skills | Strong | Limited | Netguru |
| Buying AI-assisted engineering capacity on a subscription | Limited | Strong | Globant |
| Large LatAm-based teams for media and entertainment companies | Limited | Strong | Globant |
Verdict: Netguru vs Globant
Netguru (4.0/5) is the stronger overall choice for most AI Staffing projects. Design and product talent alongside AI engineers.
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
Netguru vs Globant FAQ
Is Netguru better than Globant?
Netguru (4.0/5) scores higher overall, but "better" depends on your use case. Netguru's strongest advantage: well-known enterprise and consumer client list. Globant's strongest advantage: novel pricing model tied to delivered output.
How do Netguru and Globant differ in pricing?
Netguru uses time and materials; team 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: Netguru or Globant?
Netguru 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 Netguru and Globant?
Netguru's primary differentiator is: design and product talent alongside AI engineers. Globant's primary differentiator is: token-subscription pricing in place of seat-based staffing. They also differ in team size (500–999 vs 28,500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail and e-commerce, Fintech vs Media, Fintech).
Verify all details directly with each agency before making a decision.