MobiDev vs Grid Dynamics: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.3/5) edges ahead of Grid Dynamics (4.0/5) 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.. 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.
MobiDev vs Grid Dynamics: head-to-head summary
| Criterion | MobiDev | Grid Dynamics |
|---|---|---|
| Founded | 2009 | 2006 |
| HQ | Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine) | San Ramon, USA |
| Team size | 201–500 | 1,001–5,000 |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Best for | Small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner. | 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, Computer vision frameworks, Cloud ML platforms | Microsoft Azure (AI/ML Advanced Specialization), Python, Kubernetes |
| Industries served | Healthcare, Retail, Manufacturing, Media | Retail, Pharmaceuticals, Technology, Financial services |
MobiDev vs Grid Dynamics: 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.
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: MobiDev vs Grid Dynamics
| Capability | MobiDev | 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: MobiDev vs Grid Dynamics
| Framework / platform | MobiDev | 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: MobiDev vs Grid Dynamics
| Criterion | MobiDev | 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: MobiDev vs Grid Dynamics
| Dimension | MobiDev | Grid Dynamics |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail, Manufacturing | Retail, Pharmaceuticals, Technology |
| 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 | 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 |
MobiDev vs Grid Dynamics: 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. |
| 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 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 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: MobiDev vs Grid Dynamics
| 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 Grid Dynamics (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 Grid Dynamics
| Use case | MobiDev fit | Grid Dynamics fit | Winner |
|---|---|---|---|
| Building a custom ML model for a small or medium-sized business without an internal data science team | Strong | Strong | Both equally |
| Combining computer vision or ML work with broader mobile/IoT product development | Strong | Limited | MobiDev |
| 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: MobiDev vs Grid Dynamics
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..
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
MobiDev vs Grid Dynamics FAQ
Is MobiDev better than Grid Dynamics?
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.. Grid Dynamics is better for fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner..
How do MobiDev and Grid Dynamics differ in pricing?
MobiDev 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: MobiDev or Grid Dynamics?
Grid Dynamics 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 Grid Dynamics?
MobiDev's primary differentiator is: historical clutch #1 ranking for machine learning development (2021) combined with a specifically sme-oriented service model.. 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 (201–500 vs 1,001–5,000), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail vs Retail, Pharmaceuticals).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.