MobiDev vs Yalantis: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.3/5) edges ahead of Yalantis (4.0/5) overall. MobiDev is the better choice for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm.. Yalantis is the stronger option for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Yalantis: head-to-head summary
| Criterion | MobiDev | Yalantis |
|---|---|---|
| Founded | 2009 | 2008 |
| HQ | Atlanta, Georgia, United States | Larnaca, Cyprus |
| Team size | 201–500 | 500+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Best for | US and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm. | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms. |
| Pricing model | Time & materials, dedicated team | Fixed project, dedicated team |
| Min. engagement | Not published | $10,000 |
| Primary tech stack | TensorFlow, PyTorch, OpenCV | AWS SageMaker, Azure ML, Google Cloud Vertex AI |
| Industries served | Healthcare, Retail & E-commerce, FinTech, Manufacturing | Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain |
MobiDev vs Yalantis: overview
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.
Yalantis
Yalantis was founded in 2008 with headquarters in Larnaca, Cyprus and development hubs in Dnipro, Kyiv, and Lviv, Ukraine, growing to roughly 500 specialists. The firm positions itself as a 'compliance-first engineering partner,' building high-performance ML models across Amazon, Microsoft Azure, and Google Cloud ML platforms, including data preparation, model selection, training, deployment, and multimodal LLM processing for visual and text data. Project costs are reported to range from $10,000 to over $800,000, indicating the firm handles both small scoped projects and large enterprise programs.
Services and capabilities: MobiDev vs Yalantis
| Capability | MobiDev | Yalantis |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| MLOps | ✓ | ✓ |
| Generative AI | ✗ | ✓ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: MobiDev vs Yalantis
| Framework / platform | MobiDev | Yalantis |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | ✓ |
| LangChain | N/A | ✓ |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: MobiDev vs Yalantis
| Criterion | MobiDev | Yalantis |
|---|---|---|
| Minimum engagement | Not published | $10,000 |
| Engagement models | Dedicated team, Time & materials, Fixed project | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: MobiDev vs Yalantis
| Dimension | MobiDev | Yalantis |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail & E-commerce, FinTech | Healthcare, IoT & Embedded Systems, FinTech |
| Best use cases | 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). | Healthcare or IoT company needs ML development from a compliance-first engineering partner., Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. |
| Typical project type | Dedicated team | Fixed project |
MobiDev vs Yalantis: pros and cons
| 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. |
| Yalantis | |
|---|---|
| + | Compliance-first positioning is a genuine differentiator for regulated industries like healthcare and embedded/IoT systems. |
| + | Multi-cloud ML delivery capability (AWS, Azure, GCP) avoids vendor lock-in to a single hyperscaler. |
| + | Wide project-cost range ($10,000–$800,000+) means the firm can serve both small scoped projects and large programs without switching vendors. |
| + | 500+ specialists across three Ukrainian development hubs provides meaningful delivery redundancy. |
| - | IoT and hardware engineering heritage means ML is one of several engineering disciplines rather than the firm's sole focus. |
| - | Larnaca, Cyprus legal HQ with all technical delivery in Ukraine is standard for the region but worth confirming for contract jurisdiction purposes. |
Who should choose MobiDev?
MobiDev is the right choice for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm..
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.
Who should choose Yalantis?
Yalantis is the right choice for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof.. Minimum engagement starts at $10,000. Works best with clients in Healthcare, IoT & Embedded Systems, FinTech, Logistics & Supply Chain.
Decision matrix: MobiDev vs Yalantis
| 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 Yalantis ($10,000) |
| You need specialist depth in a specific vertical | MobiDev |
| 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: MobiDev vs Yalantis
| Use case | MobiDev fit | Yalantis fit | Winner |
|---|---|---|---|
| Healthcare or retail company wants a Clutch-recognized top ML vendor for a computer vision or NLP project. | Strong | Strong | Both equally |
| Company needs geographic delivery redundancy across two R&D centers (Poland, Ukraine). | Strong | Strong | Both equally |
| Healthcare or IoT company needs ML development from a compliance-first engineering partner. | Strong | Strong | Both equally |
| Company wants flexibility to deploy models across AWS, Azure, or GCP without being locked into one platform. | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: MobiDev vs Yalantis
MobiDev (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018.. It is best for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm..
Yalantis (4.0/5) is the better choice when compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms.. If your situation matches those criteria, Yalantis is a competitive option.
Related comparisons
MobiDev vs Yalantis FAQ
Is MobiDev better than Yalantis?
MobiDev (4.3/5) scores higher overall, but "better" depends on your use case. MobiDev is better for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm.. Yalantis is better for compliance-sensitive industries (IoT, healthcare, embedded systems) that need ML delivery across all three major cloud platforms..
How do MobiDev and Yalantis differ in pricing?
MobiDev uses time & materials, dedicated team pricing with a minimum engagement of Not published. Yalantis uses fixed project, dedicated team pricing with a minimum engagement of $10,000. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: MobiDev or Yalantis?
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 Yalantis?
MobiDev's primary differentiator is: clutch's #1-ranked machine learning development company (2021), with a dedicated ai practice since 2018.. Yalantis's primary differentiator is: compliance-first positioning combined with multi-cloud ml delivery (aws, azure, gcp) under one roof.. They also differ in team size (201–500 vs 500+), minimum engagement (Not published vs $10,000), and primary industries served (Healthcare, Retail & E-commerce vs Healthcare, IoT & Embedded Systems).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.