MobiDev vs Globant: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.3/5) edges ahead of Globant (3.9/5) overall. MobiDev is the better choice for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.. Globant is the stronger option for large enterprises wanting industry-specific pre-packaged AI solutions ("AI Pods") delivered through a studio-based model rather than fully bespoke consulting.. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Globant: head-to-head summary
| Criterion | MobiDev | Globant |
|---|---|---|
| Founded | 2009 | 2003 |
| HQ | Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine) | Luxembourg City, Luxembourg |
| Team size | 201–500 | 10,000+ |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Best for | Small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner. | Large enterprises wanting industry-specific pre-packaged AI solutions ("AI Pods") delivered through a studio-based model rather than fully bespoke consulting. |
| Pricing model | Time & Material, Fixed project | Not published; moving toward subscription-style pricing for AI Pods (per third-party commentary; independently unverifiable in detail) |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Computer vision frameworks, Cloud ML platforms | Proprietary Glob.AI OS platform, Computer vision (via Synthesis AI partnership), Cloud ML platforms |
| Industries served | Healthcare, Retail, Manufacturing, Media | Financial services, Life sciences, Airlines/travel, Sports and entertainment |
MobiDev vs Globant: overview
MobiDev
MobiDev is a software development and consulting company founded in 2009, with business units in Norcross, Georgia (US) and Sheffield (UK), and R&D delivery centers in Lodz, Poland and Chernivtsi, Ukraine staffed by more than 400 engineers. Its consulting services span data science, machine learning, augmented reality, IoT, and DevOps, aimed at small and medium-sized companies rather than large enterprises. The company reports a 100 percent project success rate on Upwork and was named the #1 machine learning development company by Clutch in 2021.
Globant
Globant was founded in 2003 in Buenos Aires by Martin Migoya, Guibert Englebienne, Martin Umaran, and Nestor Nocetti, and is now headquartered in Luxembourg while trading publicly on the NYSE under GLOB. The company reports roughly 29,000 employees and organizes its AI capability around eight industry-specific studios that produce what it calls "AI Pods," tailored solutions for specific industry challenges spanning financial services, life sciences, and airlines among others. Globant was recognized by IDC MarketScape as a Worldwide Leader in AI Services in 2023, and has named client work including LALIGA for agentic AI in sports, presented at NVIDIA GTC 2026.
Services and capabilities: MobiDev vs Globant
| Capability | MobiDev | Globant |
|---|---|---|
| Custom model training | ✓ | ✓ |
| Fine-tuning & adaptation | ✗ | ✗ |
| MLOps pipeline | ✗ | ✗ |
| Model deployment & serving | ✗ | ✗ |
| Data engineering for ML | ✓ | ✗ |
| ML infrastructure management | ✗ | ✗ |
| Computer vision | ✓ | ✓ |
| NLP & LLM development | ✗ | ✗ |
| Forecasting & time-series modeling | ✗ | ✗ |
| ML strategy consulting | ✓ | ✓ |
Tech stack comparison: MobiDev vs Globant
| Framework / platform | MobiDev | Globant |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| MLflow | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: MobiDev vs Globant
| Criterion | MobiDev | Globant |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Time & Material, Fixed project, Dedicated team | Studio-based engagement, Enterprise project engagement, Subscription (AI Pods) |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: MobiDev vs Globant
| Dimension | MobiDev | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Healthcare, Retail, Manufacturing | Financial services, Life sciences, Airlines/travel |
| Best use cases | Building a custom ML model for a small or medium-sized business without an internal data science team, Combining computer vision or ML work with broader mobile/IoT product development | Large enterprises wanting pre-packaged, industry-specific AI solutions delivered quickly via studio teams, Sports, entertainment, or media companies exploring agentic AI applications |
| Typical project type | Time & Material | Studio-based engagement |
MobiDev vs Globant: pros and cons
| MobiDev | |
|---|---|
| + | Historical Clutch #1 ranking in machine learning development (2021). |
| + | 16 Clutch reviews with consistently positive delivery feedback. |
| + | Explicit focus on small/medium-sized clients, a niche underserved by larger enterprise-first firms. |
| + | Multi-country delivery footprint (Poland, Ukraine) with 400+ engineers provides meaningful bench depth. |
| - | Team-size figures vary by source (roughly 200–500), indicating some reporting inconsistency. |
| - | SME focus may mean less experience with very large, complex enterprise-scale ML platforms. |
| - | Machine learning is one of several practice areas (alongside AR, IoT) rather than the sole focus. |
| - | Minimum engagement size is not published, requiring a scoping conversation. |
| Globant | |
|---|---|
| + | IDC MarketScape Worldwide Leader in AI Services (2023), an independently sourced third-party analyst validation. |
| + | Named, checkable client work (LALIGA agentic AI, presented publicly at NVIDIA GTC 2026). |
| + | Industry-specific studio model can accelerate time-to-value versus fully custom engagements. |
| + | Publicly traded (NYSE: GLOB) with substantial scale (29,000+ employees). |
| - | Studio/Pod delivery model provides less MLOps/infrastructure-specific documented depth than peers like EPAM or Persistent. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Pricing details, including the reported move to subscription models, are not fully independently verifiable. |
| - | Large scale means individual client attention may vary depending on which studio is engaged. |
Who should choose MobiDev?
MobiDev is the right choice for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner..
Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail, Manufacturing, Media.
Who should choose Globant?
Globant is the right choice for large enterprises wanting industry-specific pre-packaged AI solutions ("AI Pods") delivered through a studio-based model rather than fully bespoke consulting..
Only company in this list organized around a formal "studio + AI Pods" delivery model, and the only one with an IDC MarketScape Worldwide Leader in AI Services designation.. Minimum engagement starts at Not published. Works best with clients in Financial services, Life sciences, Airlines/travel, Sports and entertainment.
Decision matrix: MobiDev vs Globant
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | MobiDev |
| You need a large dedicated team for an ongoing programme | MobiDev |
| Your budget is at the lower end | Compare: MobiDev (Not published) vs Globant (Not published) |
| You need specialist depth in a specific vertical | MobiDev |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | MobiDev |
Use case fit: MobiDev vs Globant
| Use case | MobiDev fit | Globant fit | Winner |
|---|---|---|---|
| Building a custom ML model for a small or medium-sized business without an internal data science team | Strong | Limited | MobiDev |
| Combining computer vision or ML work with broader mobile/IoT product development | Strong | Limited | MobiDev |
| Large enterprises wanting pre-packaged, industry-specific AI solutions delivered quickly via studio teams | Limited | Strong | Globant |
| Sports, entertainment, or media companies exploring agentic AI applications | Limited | Strong | Globant |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: MobiDev vs Globant
MobiDev (4.3/5) is the stronger overall choice for most ML Model Development projects. Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model.. It is best for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner..
Globant (3.9/5) is the better choice when large enterprises wanting industry-specific pre-packaged AI solutions ("AI Pods") delivered through a studio-based model rather than fully bespoke consulting.. If your situation matches those criteria, Globant is a competitive option.
Related comparisons
MobiDev vs Globant FAQ
Is MobiDev better than Globant?
MobiDev (4.3/5) scores higher overall, but "better" depends on your use case. MobiDev is better for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.. Globant is better for large enterprises wanting industry-specific pre-packaged AI solutions ("AI Pods") delivered through a studio-based model rather than fully bespoke consulting..
How do MobiDev and Globant differ in pricing?
MobiDev uses time & material, fixed project pricing with a minimum engagement of Not published. Globant uses not published; moving toward subscription-style pricing for ai pods (per third-party commentary; independently unverifiable in detail) pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: MobiDev or Globant?
MobiDev 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 MobiDev and Globant?
MobiDev's primary differentiator is: historical clutch #1 ranking for machine learning development (2021) combined with a specifically sme-oriented service model.. Globant's primary differentiator is: only company in this list organized around a formal "studio + ai pods" delivery model, and the only one with an idc marketscape worldwide leader in ai services designation.. They also differ in team size (201–500 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail vs Financial services, Life sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.