MobiDev vs Innowise: full comparison for 2026
Quick verdict
MobiDev (4.4/5) edges ahead of Innowise (4.1/5) overall. MobiDev is the better choice for retail and fitness products, one AI engineer to start. Innowise is the stronger option for enterprises needing many seats filled within days. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Innowise: head-to-head summary
| Criterion | MobiDev | Innowise |
|---|---|---|
| Founded | 2009 | 2007 |
| HQ | Atlanta, USA (R&D in Ukraine and Poland) | Warsaw, Poland |
| Team size | 201–500 | 3,500 |
| Rating | 4.4 / 5 | 4.1 / 5 |
| Primary differentiator | Long AI product record in retail, hospitality and fitness | Claimed three-to-five-day placement from an employed bench |
| Pricing model | Monthly per engineer; dedicated team; rates on request | Time and materials; dedicated team; rates on request |
| Min. engagement | 1 full-time engineer | Not disclosed |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, TensorFlow, Apache Spark |
| Industries served | Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare | Fintech, Healthcare, Logistics, Retail and e-commerce |
MobiDev vs Innowise: 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.
Innowise
Innowise was officially established in 2007 and is headquartered in Warsaw, with offices in the U.S., Germany, the UK, Italy and the UAE. It reports about 3,500 IT professionals, all full-time employees according to CB Insights. The company describes itself as a software development and staff-augmentation company and says it can place people on a project within three to five days (per company website; independently unverifiable). AI and data science are part of a broad technology menu.
Services and capabilities: MobiDev vs Innowise
| Capability | MobiDev | Innowise |
|---|---|---|
| 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 Innowise
| Framework / platform | MobiDev | Innowise |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | ✓ |
Pricing comparison: MobiDev vs Innowise
| Criterion | MobiDev | Innowise |
|---|---|---|
| Minimum engagement | 1 full-time engineer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team, Managed delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: MobiDev vs Innowise
| Dimension | MobiDev | Innowise |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail and e-commerce, Hospitality, Fitness and wellness | Fintech, Healthcare, Logistics |
| Best use cases | Adding a pose-estimation engineer to a fitness app, Placing an AI engineer to build product recommendations for a retailer | Adding data engineers to an enterprise migration within a week, Staffing a mixed backend and ML team |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
MobiDev vs Innowise: 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 |
| Innowise | |
|---|---|
| + | Every placed engineer is on the Innowise payroll; it does not subcontract freelancers |
| + | Large bench for fast placement of common roles |
| + | Several EU offices for contracting and data-residency needs |
| - | AI specialists are a small slice of a large generalist bench |
| - | Speed claims are self-reported |
| - | Rates not published |
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 Innowise?
A typical fit: adding data engineers to an enterprise migration within a week.
Claimed three-to-five-day placement from an employed bench. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Logistics, Retail and e-commerce.
Decision matrix: MobiDev vs Innowise
| 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 Innowise (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 Innowise
| Use case | MobiDev fit | Innowise 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 data engineers to an enterprise migration within a week | Strong | Strong | Both equally |
| Staffing a mixed backend and ML team | Limited | Strong | Innowise |
Verdict: MobiDev vs Innowise
MobiDev (4.4/5) is the stronger overall choice for most AI Staffing projects. Long AI product record in retail, hospitality and fitness.
Innowise (4.1/5) is worth a look if you need staffing a mixed backend and ML team. If your situation matches that, Innowise is a competitive option.
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MobiDev vs Innowise FAQ
Is MobiDev better than Innowise?
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. Innowise's strongest advantage: every placed engineer is on the Innowise payroll; it does not subcontract freelancers.
How do MobiDev and Innowise differ in pricing?
MobiDev uses monthly per engineer; dedicated team; rates on request pricing with a minimum engagement of 1 full-time engineer. Innowise uses time and materials; dedicated team; 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 Innowise?
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 MobiDev and Innowise?
MobiDev's primary differentiator is: long AI product record in retail, hospitality and fitness. Innowise's primary differentiator is: claimed three-to-five-day placement from an employed bench. They also differ in team size (201–500 vs 3,500), minimum engagement (1 full-time engineer vs Not disclosed), and primary industries served (Retail and e-commerce, Hospitality vs Fintech, Healthcare).
Verify all details directly with each agency before making a decision.