MobiDev vs Modus Create: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.3/5) edges ahead of Modus Create (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.. Modus Create is the stronger option for distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery.. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Modus Create: head-to-head summary
| Criterion | MobiDev | Modus Create |
|---|---|---|
| Founded | 2009 | 2011 |
| HQ | Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine) | Reston, USA |
| Team size | 201–500 | 501–1,000 |
| 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. | Distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery. |
| Pricing model | Time & Material, Fixed project | Not published; project and dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Computer vision frameworks, Cloud ML platforms | Python, AWS, Data governance tooling |
| Industries served | Healthcare, Retail, Manufacturing, Media | Technology/SaaS, Retail, Healthcare |
MobiDev vs Modus Create: 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.
Modus Create
Modus Create is a fully remote, distributed product engineering company founded in 2011 and headquartered in Reston, Virginia, with team members spread across more than 55 countries. The company's AI/ML and data engineering practice includes AI Strategy Roadmap assessments and AI Data Foundation assessments intended to ensure underlying data is reliable and properly governed before or alongside model development work. Modus Create has partnered with technology providers including Atlassian, GitHub, and AWS, and has been recognized on the Inc. 5000 list for nine consecutive years.
Services and capabilities: MobiDev vs Modus Create
| Capability | MobiDev | Modus Create |
|---|---|---|
| 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 Modus Create
| Framework / platform | MobiDev | Modus Create |
|---|---|---|
| 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 | N/A |
| Kubernetes | ✓ | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: MobiDev vs Modus Create
| Criterion | MobiDev | Modus Create |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Time & Material, Fixed project, Dedicated team | Fixed project, Dedicated team, Assessment/audit engagement |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: MobiDev vs Modus Create
| Dimension | MobiDev | Modus Create |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Healthcare, Retail, Manufacturing | Technology/SaaS, Retail, Healthcare |
| 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 | Running an AI Data Foundation assessment before committing to a full model-development engagement, Building an AI strategy roadmap for an organization new to machine learning adoption |
| Typical project type | Time & Material | Fixed project |
MobiDev vs Modus Create: 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. |
| Modus Create | |
|---|---|
| + | Structured AI Data Foundation assessment reduces risk of building models on ungoverned or unreliable data. |
| + | Fully remote, globally distributed team (55+ countries) offers broad timezone coverage. |
| + | Nine consecutive years on the Inc. 5000 list signals sustained growth. |
| + | Technology partnerships with Atlassian, GitHub, and AWS support integrated delivery tooling. |
| - | AI/ML is one of several product engineering service lines rather than the company's sole specialization. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Pricing model and minimum engagement are not published. |
| - | Fully remote delivery model may not suit buyers who prefer localized or on-site teams. |
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 Modus Create?
Modus Create is the right choice for distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery..
Structured AI Data Foundation assessment methodology that explicitly evaluates data readiness before committing to model development.. Minimum engagement starts at Not published. Works best with clients in Technology/SaaS, Retail, Healthcare.
Decision matrix: MobiDev vs Modus Create
| 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 Modus Create (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 Modus Create
| Use case | MobiDev fit | Modus Create 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 | Strong | Both equally |
| Running an AI Data Foundation assessment before committing to a full model-development engagement | Strong | Strong | Both equally |
| Building an AI strategy roadmap for an organization new to machine learning adoption | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: MobiDev vs Modus Create
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..
Modus Create (4.0/5) is the better choice when distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery.. If your situation matches those criteria, Modus Create is a competitive option.
Related comparisons
MobiDev vs Modus Create FAQ
Is MobiDev better than Modus Create?
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.. Modus Create is better for distributed organizations wanting a remote-first partner that pairs data-foundation assessments with AI/ML model delivery..
How do MobiDev and Modus Create differ in pricing?
MobiDev uses time & material, fixed project pricing with a minimum engagement of Not published. Modus Create uses not published; project and 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: MobiDev or Modus Create?
Modus Create 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 Modus Create?
MobiDev's primary differentiator is: historical clutch #1 ranking for machine learning development (2021) combined with a specifically sme-oriented service model.. Modus Create's primary differentiator is: structured ai data foundation assessment methodology that explicitly evaluates data readiness before committing to model development.. They also differ in team size (201–500 vs 501–1,000), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail vs Technology/SaaS, Retail).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.