MobiDev vs Quantiphi: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.3/5) edges ahead of Quantiphi (4.2/5) 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.. Quantiphi is the stronger option for enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison.. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Quantiphi: head-to-head summary
| Criterion | MobiDev | Quantiphi |
|---|---|---|
| Founded | 2009 | 2013 |
| HQ | Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine) | Marlborough, USA |
| Team size | 201–500 | 1,001–5,000 |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Best for | Small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner. | Enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison. |
| Pricing model | Time & Material, Fixed project | Not published; enterprise project engagements |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Computer vision frameworks, Cloud ML platforms | AWS SageMaker, Amazon Bedrock, AWS |
| Industries served | Healthcare, Retail, Manufacturing, Media | Public sector, Healthcare, Financial services, Media |
MobiDev vs Quantiphi: 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.
Quantiphi
Quantiphi is a digital engineering company founded in 2013 by Vivek Khemani, Asif Hasan, Ritesh Patel, and Reghu Hariharan, focused on applied artificial intelligence, machine learning, and data science for complex business problems. Headquartered in Marlborough, Massachusetts, the company operates across six global locations and reports between 1,000 and 5,000 employees. Quantiphi holds AWS Premier Global Consulting Partner status and was named the first Preferred Amazon Quick Global SI Partner by the AWS Generative AI Innovation Center, alongside being recognized as 2025 AWS Public Sector Global GenAI Consulting Partner of the Year.
Services and capabilities: MobiDev vs Quantiphi
| Capability | MobiDev | Quantiphi |
|---|---|---|
| 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 Quantiphi
| Framework / platform | MobiDev | Quantiphi |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| MLflow | N/A | N/A |
| AWS SageMaker | N/A | ✓ |
| Amazon Bedrock | N/A | ✓ |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | ✓ |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: MobiDev vs Quantiphi
| Criterion | MobiDev | Quantiphi |
|---|---|---|
| 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 Quantiphi
| Dimension | MobiDev | Quantiphi |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail, Manufacturing | Public sector, Healthcare, Financial services |
| 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 | Building and deploying ML models on AWS SageMaker at enterprise scale, Running a generative AI initiative using Amazon Bedrock with AWS-certified delivery support |
| Typical project type | Time & Material | Enterprise project engagement |
MobiDev vs Quantiphi: 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. |
| Quantiphi | |
|---|---|
| + | Strongest documented AWS partnership tier (Premier Global Consulting Partner) among companies in this comparison. |
| + | 2025 AWS Public Sector Global GenAI Consulting Partner of the Year recognition. |
| + | Reported $630.2M in revenue signals substantial scale and financial stability. |
| + | Multi-location global presence supports enterprise clients needing regional delivery. |
| - | Heavy AWS specialization may be less useful for clients standardized on Azure or GCP. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Employee count range (1,000–5,000) is wide, making exact delivery capacity hard to pin down. |
| - | Pricing model and minimum engagement are not published. |
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 Quantiphi?
Quantiphi is the right choice for enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison..
Deepest AWS-specific partnership credentials among firms researched, including AWS GenAI Innovation Center preferred-partner status.. Minimum engagement starts at Not published. Works best with clients in Public sector, Healthcare, Financial services, Media.
Decision matrix: MobiDev vs Quantiphi
| 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 Quantiphi (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 Quantiphi
| Use case | MobiDev fit | Quantiphi 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 |
| Building and deploying ML models on AWS SageMaker at enterprise scale | Strong | Strong | Both equally |
| Running a generative AI initiative using Amazon Bedrock with AWS-certified delivery support | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Strong | Quantiphi |
Verdict: MobiDev vs Quantiphi
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..
Quantiphi (4.2/5) is the better choice when enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison.. If your situation matches those criteria, Quantiphi is a competitive option.
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MobiDev vs Quantiphi FAQ
Is MobiDev better than Quantiphi?
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.. Quantiphi is better for enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison..
How do MobiDev and Quantiphi differ in pricing?
MobiDev uses time & material, fixed project pricing with a minimum engagement of Not published. Quantiphi uses not published; enterprise project engagements 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 Quantiphi?
Quantiphi 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 Quantiphi?
MobiDev's primary differentiator is: historical clutch #1 ranking for machine learning development (2021) combined with a specifically sme-oriented service model.. Quantiphi's primary differentiator is: deepest aws-specific partnership credentials among firms researched, including aws genai innovation center preferred-partner status.. 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 Public sector, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.