ELEKS vs Grid Dynamics: full comparison for 2026
Last updated: July 2026
Quick verdict
ELEKS (4.1/5) edges ahead of Grid Dynamics (4.0/5) 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.. Grid Dynamics is the stronger option for fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner.. The right choice depends on your project size, budget, and required tech stack.
ELEKS vs Grid Dynamics: head-to-head summary
| Criterion | ELEKS | Grid Dynamics |
|---|---|---|
| Founded | 1991 | 2006 |
| HQ | Tallinn, Estonia (engineering hub: Lviv, Ukraine) | San Ramon, USA |
| Team size | 1,001–5,000 | 1,001–5,000 |
| Rating | 4.1 / 5 | 4.0 / 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. | Fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner. |
| Pricing model | Time & Material, Fixed project | Not published; enterprise custom SOWs |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Cloud ML platforms (AWS/Azure/GCP), Data engineering tooling | Microsoft Azure (AI/ML Advanced Specialization), Python, Kubernetes |
| Industries served | Financial services, Healthcare, Manufacturing, Insurance | Retail, Pharmaceuticals, Technology, Financial services |
ELEKS vs Grid Dynamics: 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.
Grid Dynamics
Grid Dynamics Holdings, Inc. was founded in 2006 in Silicon Valley by Victoria Livschitz and went public via a SPAC merger with ChaSerg Technology Acquisition Corp in March 2020, trading on NASDAQ under GDYN. The company reports approximately 5,000 technical professionals delivering MLOps, generative and agentic AI, data platform engineering, recommendation engines, and computer vision work for Fortune 1000 clients, with delivery centers spanning 19 countries. Grid Dynamics holds Microsoft Azure AI/ML Advanced Specialization certification and reported FY2025 revenue of $411.8 million, up 17.5 percent year over year.
Services and capabilities: ELEKS vs Grid Dynamics
| Capability | ELEKS | Grid Dynamics |
|---|---|---|
| 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 Grid Dynamics
| Framework / platform | ELEKS | Grid Dynamics |
|---|---|---|
| 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 | ✓ |
| Kubernetes | ✓ | ✓ |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: ELEKS vs Grid Dynamics
| Criterion | ELEKS | Grid Dynamics |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Time & Material, Fixed project, Dedicated team | Enterprise project engagement, Managed AI services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: ELEKS vs Grid Dynamics
| Dimension | ELEKS | Grid Dynamics |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Manufacturing | Retail, Pharmaceuticals, Technology |
| 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 | Fortune 1000 companies needing an audited, publicly accountable ML engineering vendor, Building recommendation engines or customer intelligence models at large retail/pharma scale |
| Typical project type | Time & Material | Enterprise project engagement |
ELEKS vs Grid Dynamics: 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. |
| Grid Dynamics | |
|---|---|
| + | Publicly traded status (NASDAQ: GDYN) provides audited financial transparency uncommon among private peers. |
| + | Reported FY2025 revenue of $411.8M with 17.5% year-over-year growth signals strong momentum. |
| + | Microsoft Azure Advanced Specialization certification in AI/ML. |
| + | Large delivery footprint (~5,000 technical professionals across 19 countries). |
| - | Enterprise-only focus makes it a poor fit for small or mid-market buyers. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Pricing model and minimum engagement are not published (custom SOW-based). |
| - | Named, quantified public case studies (beyond a general pharma recommendation-engine example) are limited in available search results. |
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 Grid Dynamics?
Grid Dynamics is the right choice for fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner..
The only publicly traded company (NASDAQ: GDYN) in this comparison among the mid-to-large tier, giving buyers audited financial transparency unavailable from private peers.. Minimum engagement starts at Not published. Works best with clients in Retail, Pharmaceuticals, Technology, Financial services.
Decision matrix: ELEKS vs Grid Dynamics
| 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 Grid Dynamics (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 | Both may offer discovery engagements |
Use case fit: ELEKS vs Grid Dynamics
| Use case | ELEKS fit | Grid Dynamics fit | Winner |
|---|---|---|---|
| Running an enterprise-scale data science initiative alongside a broader software modernization program | Strong | Strong | Both equally |
| Engaging a long-tenured, stable partner for a multi-year digital transformation that includes ML components | Strong | Strong | Both equally |
| Fortune 1000 companies needing an audited, publicly accountable ML engineering vendor | Limited | Strong | Grid Dynamics |
| Building recommendation engines or customer intelligence models at large retail/pharma scale | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Strong | Grid Dynamics |
Verdict: ELEKS vs Grid Dynamics
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..
Grid Dynamics (4.0/5) is the better choice when fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner.. If your situation matches those criteria, Grid Dynamics is a competitive option.
Related comparisons
ELEKS vs Grid Dynamics FAQ
Is ELEKS better than Grid Dynamics?
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.. Grid Dynamics is better for fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner..
How do ELEKS and Grid Dynamics differ in pricing?
ELEKS uses time & material, fixed project pricing with a minimum engagement of Not published. Grid Dynamics uses not published; enterprise custom sows 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 Grid Dynamics?
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 Grid Dynamics?
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.. Grid Dynamics's primary differentiator is: the only publicly traded company (nasdaq: gdyn) in this comparison among the mid-to-large tier, giving buyers audited financial transparency unavailable from private peers.. They also differ in team size (1,001–5,000 vs 1,001–5,000), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Healthcare vs Retail, Pharmaceuticals).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.