deepsense.ai vs MobiDev: full comparison for 2026
Quick verdict
deepsense.ai (4.6/5) edges ahead of MobiDev (4.4/5) overall. deepsense.ai is the better choice for research-heavy ML problems, senior data scientists. 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.
deepsense.ai vs MobiDev: head-to-head summary
| Criterion | deepsense.ai | MobiDev |
|---|---|---|
| Founded | 2014 | 2009 |
| HQ | Warsaw, Poland | Atlanta, USA (R&D in Ukraine and Poland) |
| Team size | 100–200 | 201–500 |
| Rating | 4.6 / 5 | 4.4 / 5 |
| Primary differentiator | Research-grade data scientists available as embedded team members | Long AI product record in retail, hospitality and fitness |
| Pricing model | Time and materials; dedicated team; rates on request | Monthly per engineer; dedicated team; rates on request |
| Min. engagement | Not disclosed | 1 full-time engineer |
| Primary tech stack | PyTorch, TensorFlow, Hugging Face | Python, PyTorch, TensorFlow |
| Industries served | Retail and e-commerce, Manufacturing, Healthcare, Fintech | Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare |
deepsense.ai vs MobiDev: overview
deepsense.ai
deepsense.ai was founded in 2014 in Warsaw, Poland, and keeps a second office in Palo Alto. It is an AI-first company whose work spans generative AI, LLMs, retrieval-augmented generation, MLOps, computer vision and edge AI. Its team-augmentation offer draws on a staff of more than 100 data scientists, data engineers and software engineers, a group that includes Kaggle competition winners and PhD holders (per company website; independently unverifiable). Clutch reviewers describe engineers who integrate with in-house teams and add capacity on strategic projects.
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: deepsense.ai vs MobiDev
| Capability | deepsense.ai | 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: deepsense.ai vs MobiDev
| Framework / platform | deepsense.ai | MobiDev |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | ✓ |
| Hugging Face | ✓ | 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 |
Pricing comparison: deepsense.ai vs MobiDev
| Criterion | deepsense.ai | 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: deepsense.ai vs MobiDev
| Dimension | deepsense.ai | MobiDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail and e-commerce, Manufacturing, Healthcare | Retail and e-commerce, Hospitality, Fitness and wellness |
| Best use cases | Embedding a senior data scientist in a product team with a hard modeling problem, Adding computer-vision engineers for an edge-device deployment | 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 |
deepsense.ai vs MobiDev: pros and cons
| deepsense.ai | |
|---|---|
| + | Every engineer comes from a company that has done nothing but applied AI since 2014 |
| + | Unusually deep bench for computer vision and edge deployment |
| + | Can supply data engineers alongside data scientists, so the people building features also get clean data |
| + | Polish base gives EU data-protection familiarity and a few hours of overlap with the U.S. East Coast |
| - | Bench of roughly 100 people limits how many concurrent placements it can take |
| - | Senior research talent is priced accordingly; rates are not published |
| - | Better suited to multi-month engagements than one-off fractional help |
| 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 deepsense.ai?
A typical fit: embedding a senior data scientist in a product team with a hard modeling problem.
Research-grade data scientists available as embedded team members. Minimum engagement is not publicly disclosed. Works best with clients in Retail and e-commerce, Manufacturing, Healthcare, Fintech.
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: deepsense.ai 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 | deepsense.ai |
| Your budget is at the lower end | Compare: deepsense.ai (Not disclosed) vs MobiDev (1 full-time engineer) |
| You need specialist depth in a specific vertical | deepsense.ai |
| 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: deepsense.ai vs MobiDev
| Use case | deepsense.ai fit | MobiDev fit | Winner |
|---|---|---|---|
| Embedding a senior data scientist in a product team with a hard modeling problem | Strong | Limited | deepsense.ai |
| Adding computer-vision engineers for an edge-device deployment | 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 | Limited | Strong | MobiDev |
Verdict: deepsense.ai vs MobiDev
deepsense.ai (4.6/5) is the stronger overall choice for most AI Staffing projects. Research-grade data scientists available as embedded team members.
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
deepsense.ai vs MobiDev FAQ
Is deepsense.ai better than MobiDev?
deepsense.ai (4.6/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: every engineer comes from a company that has done nothing but applied AI since 2014. MobiDev's strongest advantage: you can start with a single engineer instead of a whole squad.
How do deepsense.ai and MobiDev differ in pricing?
deepsense.ai uses time and materials; dedicated team; rates on request 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: deepsense.ai 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 deepsense.ai and MobiDev?
deepsense.ai's primary differentiator is: research-grade data scientists available as embedded team members. MobiDev's primary differentiator is: long AI product record in retail, hospitality and fitness. They also differ in team size (100–200 vs 201–500), minimum engagement (Not disclosed vs 1 full-time engineer), and primary industries served (Retail and e-commerce, Manufacturing vs Retail and e-commerce, Hospitality).
Verify all details directly with each agency before making a decision.