MobiDev vs Aptus Data Labs: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.3/5) edges ahead of Aptus Data Labs (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.. Aptus Data Labs is the stronger option for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth.. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Aptus Data Labs: head-to-head summary
| Criterion | MobiDev | Aptus Data Labs |
|---|---|---|
| Founded | 2009 | 2014 |
| HQ | Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine) | Bengaluru, India |
| Team size | 201–500 | 51–200 |
| 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. | Companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth. |
| Pricing model | Time & Material, Fixed project | Not published; project-based |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Computer vision frameworks, Cloud ML platforms | AWS AI services, Python, Data engineering/analytics tooling |
| Industries served | Healthcare, Retail, Manufacturing, Media | Enterprise (cross-industry), Financial services |
MobiDev vs Aptus Data Labs: 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.
Aptus Data Labs
Aptus Data Labs is a data engineering and advanced analytics company founded in 2014 in Bangalore by Ravindra Swamy and Samir Kumar Sahoo. The company offers analytical solutions and consulting services aimed at helping businesses make data-driven decisions, with a practice that spans cloud solutions and AWS AI services alongside core data engineering. Reported employee counts vary across sources from roughly 45 to a few hundred, positioning it as a smaller boutique analytics firm rather than a large-scale delivery organization.
Services and capabilities: MobiDev vs Aptus Data Labs
| Capability | MobiDev | Aptus Data Labs |
|---|---|---|
| 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 Aptus Data Labs
| Framework / platform | MobiDev | Aptus Data Labs |
|---|---|---|
| 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 Aptus Data Labs
| Criterion | MobiDev | Aptus Data Labs |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Time & Material, Fixed project, Dedicated team | Fixed project, Consulting engagement |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: MobiDev vs Aptus Data Labs
| Dimension | MobiDev | Aptus Data Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail, Manufacturing | Enterprise (cross-industry), 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 AWS-native data engineering pipelines to support downstream ML models, Running a focused analytics consulting engagement for a mid-market Indian or global company |
| Typical project type | Time & Material | Fixed project |
MobiDev vs Aptus Data Labs: 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. |
| Aptus Data Labs | |
|---|---|
| + | Decade-plus operating history as a focused data engineering and analytics boutique. |
| + | Specific AWS AI services expertise adds credibility for AWS-standardized buyers. |
| + | Founder-led with stable leadership since 2014. |
| + | Boutique size may offer more attentive, senior-level engagement than larger firms. |
| - | Employee count estimates vary widely across sources, creating uncertainty about actual delivery capacity. |
| - | Public, named case studies with quantified ML outcomes are limited in available sources. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Smaller scale limits suitability for very large, multi-region enterprise programs. |
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 Aptus Data Labs?
Aptus Data Labs is the right choice for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth..
Combines core data engineering consulting with specific AWS AI service implementation expertise in a boutique-sized team.. Minimum engagement starts at Not published. Works best with clients in Enterprise (cross-industry), Financial services.
Decision matrix: MobiDev vs Aptus Data Labs
| 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 Aptus Data Labs (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 Aptus Data Labs
| Use case | MobiDev fit | Aptus Data Labs 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 AWS-native data engineering pipelines to support downstream ML models | Strong | Strong | Both equally |
| Running a focused analytics consulting engagement for a mid-market Indian or global company | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: MobiDev vs Aptus Data Labs
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..
Aptus Data Labs (4.0/5) is the better choice when companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth.. If your situation matches those criteria, Aptus Data Labs is a competitive option.
Related comparisons
MobiDev vs Aptus Data Labs FAQ
Is MobiDev better than Aptus Data Labs?
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.. Aptus Data Labs is better for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth..
How do MobiDev and Aptus Data Labs differ in pricing?
MobiDev uses time & material, fixed project pricing with a minimum engagement of Not published. Aptus Data Labs uses not published; project-based 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 Aptus Data Labs?
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 Aptus Data Labs?
MobiDev's primary differentiator is: historical clutch #1 ranking for machine learning development (2021) combined with a specifically sme-oriented service model.. Aptus Data Labs's primary differentiator is: combines core data engineering consulting with specific aws ai service implementation expertise in a boutique-sized team.. They also differ in team size (201–500 vs 51–200), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail vs Enterprise (cross-industry), Financial services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.