Grid Dynamics vs MobiDev: full comparison for 2026
Quick verdict
Grid Dynamics (4.4/5) edges ahead of MobiDev (4.3/5) overall. Grid Dynamics is the better choice for fortune 1000 enterprises, public-company transparency, large-scale delivery. MobiDev is the stronger option for US/EU companies, dedicated AI practice since 2018. The right choice depends on your project size, budget, and required tech stack.
Grid Dynamics vs MobiDev: head-to-head summary
| Criterion | Grid Dynamics | MobiDev |
|---|---|---|
| Founded | 2006 | 2009 |
| HQ | San Ramon, California, United States | Atlanta, Georgia, United States |
| Team size | 4,500+ | 201–500 |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Primary differentiator | Nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base | Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018 |
| Pricing model | Time & materials, managed engagement | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS SageMaker, Kubernetes, Apache Spark | TensorFlow, PyTorch, OpenCV |
| Industries served | Retail & E-commerce, Manufacturing, Insurance, Media & Entertainment, Telecom | Healthcare, Retail & E-commerce, FinTech, Manufacturing |
Grid Dynamics vs MobiDev: overview
Grid Dynamics
Grid Dynamics Holdings, Inc. (Nasdaq: GDYN) was founded in 2006 in Silicon Valley by Leonard Livschitz and is headquartered in San Ramon, California, with roughly 4,500–5,000 technical professionals across 19 countries. The company delivers enterprise AI/ML and data platform engineering alongside cloud-native engineering, serving Fortune 1000 clients in retail, manufacturing, insurance, wealth management, and life sciences. As a publicly traded company, Grid Dynamics carries a higher compliance and financial-transparency bar than most privately held firms in this list, at the cost of boutique-level personalization.
MobiDev
MobiDev was founded in 2009 and is headquartered in Atlanta, Georgia, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine staffing roughly 400 engineers. The company extended into dedicated AI consulting and engineering in 2018 and was recognized by Clutch as the #1 Machine Learning development company in 2021. Employee-count sources vary — Clutch cites around 150, while company materials cite 400+ — so prospective clients should confirm current team size for their specific engagement.
Services and capabilities: Grid Dynamics vs MobiDev
| Capability | Grid Dynamics | MobiDev |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✓ |
| NLP | ✗ | ✓ |
| MLOps | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: Grid Dynamics vs MobiDev
| Framework / platform | Grid Dynamics | MobiDev |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Grid Dynamics vs MobiDev
| Criterion | Grid Dynamics | MobiDev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Managed engagement, Staff augmentation | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Grid Dynamics vs MobiDev
| Dimension | Grid Dynamics | MobiDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & E-commerce, Manufacturing, Insurance | Healthcare, Retail & E-commerce, FinTech |
| Best use cases | Fortune 1000 retailer needs an enterprise-scale ML/data platform overhaul with public-company accountability., Insurance or wealth management firm needs a vendor with SEC-level financial transparency for procurement due diligence. | Healthcare or retail company wants a Clutch-recognized top ML vendor for a computer vision or NLP project., Company needs geographic delivery redundancy across two R&D centers (Poland, Ukraine). |
| Typical project type | Dedicated team | Dedicated team |
Grid Dynamics vs MobiDev: pros and cons
| Grid Dynamics | |
|---|---|
| + | Publicly traded (Nasdaq: GDYN) status means audited financials and SEC disclosure are available to prospective clients — a rare transparency level in this list. |
| + | ~4,500 technical professionals across 19 countries gives it the delivery capacity for large, multi-workstream Fortune 1000 programs. |
| + | 18 years of enterprise engineering experience since 2006, well before the current AI hiring wave. |
| + | Combines cloud-native and AI/ML engineering under one roof, reducing multi-vendor coordination for large programs. |
| - | At ~4,500 employees, engagements are structured around managed delivery teams rather than boutique-style founder involvement. |
| - | Public-company overhead and scale generally mean higher minimum program sizes than smaller specialist firms. |
| MobiDev | |
|---|---|
| + | Clutch's #1 Machine Learning development company ranking in 2021 is a third-party, verifiable recognition rather than self-reported. |
| + | Dedicated AI consulting/engineering practice since 2018, not a general software shop retrofitting AI onto its offering. |
| + | Dual R&D centers in Poland and Ukraine provide geographic delivery redundancy. |
| + | 15+ years of company history (since 2009) predates the current AI hiring boom, indicating organic rather than opportunistic AI growth. |
| - | Employee-count sources conflict meaningfully (150 on Clutch vs. 400+ on company materials) — confirm current AI-team headcount directly before contracting. |
| - | US headquarters is primarily a commercial front office; delivery is centered in Poland/Ukraine, which is standard for the model but worth knowing upfront. |
Who should choose Grid Dynamics?
A typical fit: fortune 1000 retailer needs an enterprise-scale ML/data platform overhaul with public-company accountability.
Nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Manufacturing, Insurance, Media & Entertainment, Telecom.
Who should choose MobiDev?
A typical fit: healthcare or retail company wants a Clutch-recognized top ML vendor for a computer vision or NLP project.
Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail & E-commerce, FinTech, Manufacturing.
Decision matrix: Grid Dynamics vs MobiDev
| 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 | Grid Dynamics |
| Your budget is at the lower end | Compare: Grid Dynamics (Not published) vs MobiDev (Not published) |
| You need specialist depth in a specific vertical | Grid Dynamics |
| You need production MLOps support after model launch | Both offer MLOps support |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Grid Dynamics vs MobiDev
| Use case | Grid Dynamics fit | MobiDev fit | Winner |
|---|---|---|---|
| Fortune 1000 retailer needs an enterprise-scale ML/data platform overhaul with public-company accountability. | Strong | Limited | Grid Dynamics |
| Insurance or wealth management firm needs a vendor with SEC-level financial transparency for procurement due diligence. | Strong | Limited | Grid Dynamics |
| Healthcare or retail company wants a Clutch-recognized top ML vendor for a computer vision or NLP project. | Limited | Strong | MobiDev |
| Company needs geographic delivery redundancy across two R&D centers (Poland, Ukraine). | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Grid Dynamics vs MobiDev
Grid Dynamics (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base.
MobiDev (4.3/5) is worth a look if you need company needs geographic delivery redundancy across two R&D centers (Poland, Ukraine). If your situation matches that, MobiDev is a competitive option.
Related comparisons
Grid Dynamics vs MobiDev FAQ
Is Grid Dynamics better than MobiDev?
Grid Dynamics (4.4/5) scores higher overall, but "better" depends on your use case. Grid Dynamics's strongest advantage: publicly traded (Nasdaq: GDYN) status means audited financials and SEC disclosure are available to prospective clients — a rare transparency level in this list. MobiDev's strongest advantage: Clutch's #1 Machine Learning development company ranking in 2021 is a third-party, verifiable recognition rather than self-reported.
How do Grid Dynamics and MobiDev differ in pricing?
Grid Dynamics uses time & materials, managed engagement pricing with a minimum engagement of Not published. MobiDev uses time & materials, dedicated team 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: Grid Dynamics or MobiDev?
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 Grid Dynamics and MobiDev?
Grid Dynamics's primary differentiator is: nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base. MobiDev's primary differentiator is: Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018. They also differ in team size (4,500+ vs 201–500), minimum engagement (Not published vs Not published), and primary industries served (Retail & E-commerce, Manufacturing vs Healthcare, Retail & E-commerce).