MobiDev vs Netguru: full comparison for 2026
Quick verdict
MobiDev (4.4/5) edges ahead of Netguru (4.0/5) overall. MobiDev is the better choice for retail and fitness products, one AI engineer to start. Netguru is the stronger option for consumer brands adding AI to digital products. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Netguru: head-to-head summary
| Criterion | MobiDev | Netguru |
|---|---|---|
| Founded | 2009 | 2008 |
| HQ | Atlanta, USA (R&D in Ukraine and Poland) | Poznań, Poland |
| Team size | 201–500 | 500–999 |
| Rating | 4.4 / 5 | 4.0 / 5 |
| Primary differentiator | Long AI product record in retail, hospitality and fitness | Design and product talent alongside AI engineers |
| Pricing model | Monthly per engineer; dedicated team; rates on request | Time and materials; team augmentation; rates on request |
| Min. engagement | 1 full-time engineer | Not disclosed |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, OpenAI, LangChain |
| Industries served | Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare | Retail and e-commerce, Fintech, Proptech, Mobility |
MobiDev vs Netguru: overview
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.
Netguru
Netguru was founded in 2008 and is based in Poznań, Poland, with 500–999 employees according to several directories. It is a certified B Corporation whose clients include IKEA, Volkswagen, OLX and Vinted. Staff augmentation and delivery centers are listed among its engagement models, and AI development is part of its service line next to mobile, web and design work.
Services and capabilities: MobiDev vs Netguru
| Capability | MobiDev | Netguru |
|---|---|---|
| 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: MobiDev vs Netguru
| Framework / platform | MobiDev | Netguru |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS SageMaker | N/A | 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: MobiDev vs Netguru
| Criterion | MobiDev | Netguru |
|---|---|---|
| Minimum engagement | 1 full-time engineer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Dedicated team, Managed delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: MobiDev vs Netguru
| Dimension | MobiDev | Netguru |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail and e-commerce, Hospitality, Fitness and wellness | Retail and e-commerce, Fintech, Proptech |
| Best use cases | Adding a pose-estimation engineer to a fitness app, Placing an AI engineer to build product recommendations for a retailer | Adding an LLM feature team to a consumer app, Augmenting a retailer's digital team with GenAI and design skills |
| Typical project type | Full-time dedicated engineers | Dedicated team |
MobiDev vs Netguru: pros and cons
| 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 |
| Netguru | |
|---|---|
| + | Well-known enterprise and consumer client list |
| + | Product designers and engineers can join together |
| + | B Corp certification may matter to ESG-focused buyers |
| - | AI is a newer service line within a product agency |
| - | Agency rates sit at the higher end for Poland |
| - | Less suited to single-seat ML hires |
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.
Who should choose Netguru?
A typical fit: adding an LLM feature team to a consumer app.
Design and product talent alongside AI engineers. Minimum engagement is not publicly disclosed. Works best with clients in Retail and e-commerce, Fintech, Proptech, Mobility.
Decision matrix: MobiDev vs Netguru
| 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 | MobiDev |
| Your budget is at the lower end | Compare: MobiDev (1 full-time engineer) vs Netguru (Not disclosed) |
| 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 | Both may offer discovery engagements |
Use case fit: MobiDev vs Netguru
| Use case | MobiDev fit | Netguru fit | Winner |
|---|---|---|---|
| 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 | Limited | MobiDev |
| Adding an LLM feature team to a consumer app | Strong | Strong | Both equally |
| Augmenting a retailer's digital team with GenAI and design skills | Limited | Strong | Netguru |
Verdict: MobiDev vs Netguru
MobiDev (4.4/5) is the stronger overall choice for most AI Staffing projects. Long AI product record in retail, hospitality and fitness.
Netguru (4.0/5) is worth a look if you need augmenting a retailer's digital team with GenAI and design skills. If your situation matches that, Netguru is a competitive option.
Related comparisons
MobiDev vs Netguru FAQ
Is MobiDev better than Netguru?
MobiDev (4.4/5) scores higher overall, but "better" depends on your use case. MobiDev's strongest advantage: you can start with a single engineer instead of a whole squad. Netguru's strongest advantage: well-known enterprise and consumer client list.
How do MobiDev and Netguru differ in pricing?
MobiDev uses monthly per engineer; dedicated team; rates on request pricing with a minimum engagement of 1 full-time engineer. Netguru uses time and materials; team augmentation; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: MobiDev or Netguru?
Netguru 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 MobiDev and Netguru?
MobiDev's primary differentiator is: long AI product record in retail, hospitality and fitness. Netguru's primary differentiator is: design and product talent alongside AI engineers. They also differ in team size (201–500 vs 500–999), minimum engagement (1 full-time engineer vs Not disclosed), and primary industries served (Retail and e-commerce, Hospitality vs Retail and e-commerce, Fintech).
Verify all details directly with each agency before making a decision.