InData Labs vs MobiDev: full comparison for 2026
Quick verdict
InData Labs (4.4/5) edges ahead of MobiDev (4.4/5) overall. InData Labs is the better choice for data-science-heavy teams, AWS-based ML work. MobiDev is the stronger option for retail and fitness products, one AI engineer to start. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs MobiDev: head-to-head summary
| Criterion | InData Labs | MobiDev |
|---|---|---|
| Founded | 2014 | 2009 |
| HQ | Nicosia, Cyprus | Atlanta, USA (R&D in Ukraine and Poland) |
| Team size | 50–249 | 201–500 |
| Rating | 4.4 / 5 | 4.4 / 5 |
| Primary differentiator | Data scientists and data engineers from one AI-only company | Long AI product record in retail, hospitality and fitness |
| Pricing model | Dedicated team; time and materials; project budgets from under $50K per Clutch | Monthly per engineer; dedicated team; rates on request |
| Min. engagement | Not disclosed | 1 full-time engineer |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | Healthcare, Fintech, Retail and e-commerce, Media | Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare |
InData Labs vs MobiDev: overview
InData Labs
InData Labs was founded in 2014 and is headquartered in Nicosia, Cyprus, with offices in Vilnius and Miami. Its services include AI research and development, generative AI, predictive analytics, computer vision, data engineering, and a dedicated-team or staff-augmentation option. Clutch lists it as a certified AWS partner with 50–249 employees. Clutch reviewers single out its data-science and ML engineering skills.
MobiDev
MobiDev was founded in 2009 in Kharkiv, Ukraine, opened its first U.S. office in Atlanta in 2011, and now runs R&D centers in Ukraine and Łódź, Poland. Its AI team-augmentation offer starts at a single full-time engineer and quotes up to two weeks to allocate someone (per company website; independently unverifiable). The company says 89% of its engineers are middle or senior level and reports more than 65 AI and ML products built, mainly for retail, hospitality, fitness and health clients. Headcount figures range from 201–500 on aggregators to 400+ on a regional IT directory.
Services and capabilities: InData Labs vs MobiDev
| Capability | InData Labs | MobiDev |
|---|---|---|
| LLM / GenAI engineers | ✗ | ✗ |
| MLOps & deployment | ✗ | ✗ |
| Computer vision | ✓ | ✓ |
| Data engineering | ✓ | ✗ |
| AI agent development | ✗ | ✓ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
Tech stack comparison: InData Labs vs MobiDev
| Framework / platform | InData Labs | MobiDev |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | ✓ |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS SageMaker | ✓ | N/A |
| Azure ML | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: InData Labs vs MobiDev
| Criterion | InData Labs | MobiDev |
|---|---|---|
| Minimum engagement | Not disclosed | 1 full-time engineer |
| Engagement models | Dedicated team, Full-time dedicated engineers, Managed delivery | Full-time dedicated engineers, Dedicated team, Managed delivery |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: InData Labs vs MobiDev
| Dimension | InData Labs | MobiDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Fintech, Retail and e-commerce | Retail and e-commerce, Hospitality, Fitness and wellness |
| Best use cases | Adding an NLP engineer to a text-analytics product, Placing a computer-vision specialist for an image-recognition feature | Adding a pose-estimation engineer to a fitness app, Placing an AI engineer to build product recommendations for a retailer |
| Typical project type | Dedicated team | Full-time dedicated engineers |
InData Labs vs MobiDev: pros and cons
| InData Labs | |
|---|---|
| + | AI and data are the whole business, so placed engineers come from a specialist bench |
| + | Combines NLP, computer vision and predictive analytics under one contract |
| + | AWS partnership is useful for SageMaker-based teams |
| + | EU-registered company, which simplifies contracting for European buyers |
| - | Smaller bench than nearshore generalists |
| - | Staff augmentation is a secondary offer next to project work |
| - | Limited time-zone overlap with the U.S. West Coast |
| MobiDev | |
|---|---|
| + | You can start with a single engineer instead of a whole squad |
| + | Senior-weighted bench, with a stated six-year average experience among lead AI engineers |
| + | Strong record in computer vision for fitness and sports products |
| + | U.S. and UK incorporation makes contracting straightforward |
| - | Much of the delivery team is in Ukraine, so some buyers will want to discuss continuity planning |
| - | Industry focus is narrower than the large generalists |
| - | No published rates |
Who should choose InData Labs?
A typical fit: adding an NLP engineer to a text-analytics product.
Data scientists and data engineers from one AI-only company. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, Retail and e-commerce, Media.
Who should choose MobiDev?
A typical fit: adding a pose-estimation engineer to a fitness app.
Long AI product record in retail, hospitality and fitness. Minimum engagement starts at 1 full-time engineer. Works best with clients in Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare.
Decision matrix: InData Labs vs MobiDev
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | InData Labs |
| Your budget is at the lower end | Compare: InData Labs (Not disclosed) vs MobiDev (1 full-time engineer) |
| You need specialist depth in a specific vertical | InData Labs |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: InData Labs vs MobiDev
| Use case | InData Labs fit | MobiDev fit | Winner |
|---|---|---|---|
| Adding an NLP engineer to a text-analytics product | Strong | Strong | Both equally |
| Placing a computer-vision specialist for an image-recognition feature | Strong | Strong | Both equally |
| Adding a pose-estimation engineer to a fitness app | Strong | Strong | Both equally |
| Placing an AI engineer to build product recommendations for a retailer | Strong | Strong | Both equally |
Verdict: InData Labs vs MobiDev
InData Labs (4.4/5) is the stronger overall choice for most AI Staffing projects. Data scientists and data engineers from one AI-only company.
MobiDev (4.4/5) is worth a look if you need placing an AI engineer to build product recommendations for a retailer. If your situation matches that, MobiDev is a competitive option.
Related comparisons
InData Labs vs MobiDev FAQ
Is InData Labs better than MobiDev?
InData Labs (4.4/5) scores higher overall, but "better" depends on your use case. InData Labs's strongest advantage: AI and data are the whole business, so placed engineers come from a specialist bench. MobiDev's strongest advantage: you can start with a single engineer instead of a whole squad.
How do InData Labs and MobiDev differ in pricing?
InData Labs uses dedicated team; time and materials; project budgets from under $50k per clutch pricing. MobiDev uses monthly per engineer; dedicated team; rates on request pricing with a minimum engagement of 1 full-time engineer. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: InData Labs or MobiDev?
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 agency before shortlisting.
What are the main differences between InData Labs and MobiDev?
InData Labs's primary differentiator is: data scientists and data engineers from one AI-only company. MobiDev's primary differentiator is: long AI product record in retail, hospitality and fitness. They also differ in team size (50–249 vs 201–500), minimum engagement (Not disclosed vs 1 full-time engineer), and primary industries served (Healthcare, Fintech vs Retail and e-commerce, Hospitality).
Verify all details directly with each agency before making a decision.