ELEKS vs Globant: full comparison for 2026
Last updated: July 2026
Quick verdict
ELEKS (4.1/5) edges ahead of Globant (3.9/5) overall. ELEKS is the better choice for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor.. 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.
ELEKS vs Globant: head-to-head summary
| Criterion | ELEKS | Globant |
|---|---|---|
| Founded | 1991 | 2003 |
| HQ | Tallinn, Estonia (engineering hub: Lviv, Ukraine) | Luxembourg City, Luxembourg |
| Team size | 1,001–5,000 | 10,000+ |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Best for | Enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor. | 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, Cloud ML platforms (AWS/Azure/GCP), Data engineering tooling | Proprietary Glob.AI OS platform, Computer vision (via Synthesis AI partnership), Cloud ML platforms |
| Industries served | Financial services, Healthcare, Manufacturing, Insurance | Financial services, Life sciences, Airlines/travel, Sports and entertainment |
ELEKS vs Globant: overview
ELEKS
ELEKS is a long-running European software engineering company founded in 1991, with corporate presence in Tallinn, Estonia and its largest engineering hub in Lviv, Ukraine, alongside additional offices across Europe and North America. The company reports more than 2,000 employees and operates a dedicated data science and AI practice layered onto its broader enterprise software engineering services. Its history predates the modern AI/ML consulting wave by roughly three decades, giving it an unusually long operating track record compared to most peers in this list.
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: ELEKS vs Globant
| Capability | ELEKS | 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: ELEKS vs Globant
| Framework / platform | ELEKS | 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: ELEKS vs Globant
| Criterion | ELEKS | 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: ELEKS vs Globant
| Dimension | ELEKS | Globant |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Financial services, Healthcare, Manufacturing | Financial services, Life sciences, Airlines/travel |
| Best use cases | Running an enterprise-scale data science initiative alongside a broader software modernization program, Engaging a long-tenured, stable partner for a multi-year digital transformation that includes ML components | 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 |
ELEKS vs Globant: pros and cons
| ELEKS | |
|---|---|
| + | Over three decades of continuous operation, unusually long for this category. |
| + | Large engineering bench (2,000+ employees) supports substantial delivery capacity. |
| + | Data science practice is embedded within a mature enterprise software engineering organization. |
| + | Multi-region European and North American office footprint. |
| - | AI/ML is one practice area within a much broader enterprise software portfolio, not the company's primary specialization. |
| - | Specific, named ML case studies with quantified outcomes are limited in available public sources. |
| - | Pricing minimums are not published. |
| - | Long operating history does not necessarily translate into deep modern ML/LLM specialization relative to newer, AI-first boutiques. |
| 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 ELEKS?
ELEKS is the right choice for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor..
One of the longest operating histories (since 1991) among firms researched for this list, predating the AI consulting boom by decades.. Minimum engagement starts at Not published. Works best with clients in Financial services, Healthcare, Manufacturing, Insurance.
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: ELEKS vs Globant
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ELEKS |
| You need a large dedicated team for an ongoing programme | ELEKS |
| Your budget is at the lower end | Compare: ELEKS (Not published) vs Globant (Not published) |
| You need specialist depth in a specific vertical | ELEKS |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Globant |
Use case fit: ELEKS vs Globant
| Use case | ELEKS fit | Globant fit | Winner |
|---|---|---|---|
| Running an enterprise-scale data science initiative alongside a broader software modernization program | Strong | Limited | ELEKS |
| Engaging a long-tenured, stable partner for a multi-year digital transformation that includes ML components | Strong | Limited | ELEKS |
| Large enterprises wanting pre-packaged, industry-specific AI solutions delivered quickly via studio teams | Strong | Strong | Both equally |
| 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: ELEKS vs Globant
ELEKS (4.1/5) is the stronger overall choice for most ML Model Development projects. One of the longest operating histories (since 1991) among firms researched for this list, predating the AI consulting boom by decades.. It is best for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor..
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.
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ELEKS vs Globant FAQ
Is ELEKS better than Globant?
ELEKS (4.1/5) scores higher overall, but "better" depends on your use case. ELEKS is better for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor.. 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 ELEKS and Globant differ in pricing?
ELEKS 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: ELEKS or Globant?
ELEKS 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 ELEKS and Globant?
ELEKS's primary differentiator is: one of the longest operating histories (since 1991) among firms researched for this list, predating the ai consulting boom by decades.. 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 (1,001–5,000 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Healthcare vs Financial services, Life sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.