Miquido vs MobiDev: full comparison for 2026
Last updated: July 2026
Quick verdict
Miquido (4.6/5) edges ahead of MobiDev (4.3/5) overall. Miquido is the better choice for companies that need ML/computer-vision capability bundled with broader product engineering (mobile, web) under one delivery team.. MobiDev is the stronger option for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.. The right choice depends on your project size, budget, and required tech stack.
Miquido vs MobiDev: head-to-head summary
| Criterion | Miquido | MobiDev |
|---|---|---|
| Founded | 2011 | 2009 |
| HQ | Krakow, Poland | Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine) |
| Team size | 201–500 | 201–500 |
| Rating | 4.6 / 5 | 4.3 / 5 |
| Best for | Companies that need ML/computer-vision capability bundled with broader product engineering (mobile, web) under one delivery team. | Small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner. |
| Pricing model | Not published; project-based and dedicated team | Time & Material, Fixed project |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Computer vision frameworks, Cloud ML platforms |
| Industries served | Fintech, Healthcare, Consumer/retail, Media | Healthcare, Retail, Manufacturing, Media |
Miquido vs MobiDev: overview
Miquido
Miquido is a Poland-based software development company founded in 2011 that has built out AI/ML, computer vision, and NLP capabilities alongside its core mobile and web engineering practice. It was recognized by Clutch as a Global Leader in Artificial Intelligence in 2023 and reports an average Clutch score near 4.9 from roughly 50 reviews. The company operates from its Krakow headquarters with additional offices in Berlin, Zurich, and other European locations, and serves clients across fintech, healthcare, and consumer product sectors. Its ML offering spans data science, applied computer vision, and NLP work delivered by dedicated squads.
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.
Services and capabilities: Miquido vs MobiDev
| Capability | Miquido | MobiDev |
|---|---|---|
| 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: Miquido vs MobiDev
| Framework / platform | Miquido | MobiDev |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | 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: Miquido vs MobiDev
| Criterion | Miquido | MobiDev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Time & Material, Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Miquido vs MobiDev
| Dimension | Miquido | MobiDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Consumer/retail | Healthcare, Retail, Manufacturing |
| Best use cases | Adding computer vision or NLP features to an existing mobile or web product, Building a custom ML model as part of a broader digital product engineering engagement | 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 |
| Typical project type | Fixed project | Time & Material |
Miquido vs MobiDev: pros and cons
| Miquido | |
|---|---|
| + | Strong Clutch track record: near-4.9 average across roughly 50 reviews. |
| + | Clutch-recognized Global Leader in Artificial Intelligence (2023). |
| + | Ability to bundle ML/CV work with broader mobile and web product engineering under one vendor. |
| + | Multi-office European presence (Krakow, Berlin, Zurich) supports EU-based client delivery preferences. |
| - | AI/ML is one specialization among several service lines rather than the company's sole focus. |
| - | Pricing and minimum engagement size are not published, requiring a scoping call. |
| - | Team size estimates vary meaningfully across sources (roughly 200–500), suggesting some data volatility. |
| - | Public case studies more heavily emphasize mobile/app work than deep ML model-development detail. |
| 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. |
Who should choose Miquido?
Miquido is the right choice for companies that need ML/computer-vision capability bundled with broader product engineering (mobile, web) under one delivery team..
Combines a large, review-verified product engineering practice with a dedicated AI/ML/CV specialization, useful for teams needing both app and model work from one vendor.. Minimum engagement starts at Not published. Works best with clients in Fintech, Healthcare, Consumer/retail, Media.
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.
Decision matrix: Miquido vs MobiDev
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Miquido |
| You need a large dedicated team for an ongoing programme | Miquido |
| Your budget is at the lower end | Compare: Miquido (Not published) vs MobiDev (Not published) |
| You need specialist depth in a specific vertical | Miquido |
| 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: Miquido vs MobiDev
| Use case | Miquido fit | MobiDev fit | Winner |
|---|---|---|---|
| Adding computer vision or NLP features to an existing mobile or web product | Strong | Limited | Miquido |
| Building a custom ML model as part of a broader digital product engineering engagement | Strong | Strong | Both equally |
| 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 | Limited | Strong | MobiDev |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: Miquido vs MobiDev
Miquido (4.6/5) is the stronger overall choice for most ML Model Development projects. Combines a large, review-verified product engineering practice with a dedicated AI/ML/CV specialization, useful for teams needing both app and model work from one vendor.. It is best for companies that need ML/computer-vision capability bundled with broader product engineering (mobile, web) under one delivery team..
MobiDev (4.3/5) is the better choice when small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.. If your situation matches those criteria, MobiDev is a competitive option.
Related comparisons
Miquido vs MobiDev FAQ
Is Miquido better than MobiDev?
Miquido (4.6/5) scores higher overall, but "better" depends on your use case. Miquido is better for companies that need ML/computer-vision capability bundled with broader product engineering (mobile, web) under one delivery team.. MobiDev is better for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner..
How do Miquido and MobiDev differ in pricing?
Miquido uses not published; project-based and dedicated team pricing with a minimum engagement of Not published. MobiDev uses time & material, fixed project 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: Miquido or MobiDev?
Miquido 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 Miquido and MobiDev?
Miquido's primary differentiator is: combines a large, review-verified product engineering practice with a dedicated ai/ml/cv specialization, useful for teams needing both app and model work from one vendor.. MobiDev's primary differentiator is: historical clutch #1 ranking for machine learning development (2021) combined with a specifically sme-oriented service model.. They also differ in team size (201–500 vs 201–500), minimum engagement (Not published vs Not published), and primary industries served (Fintech, Healthcare vs Healthcare, Retail).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.