MobiDev vs Innowise: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.3/5) edges ahead of Innowise (3.7/5) overall. MobiDev is the better choice for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm.. Innowise is the stronger option for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group.. 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, Georgia, United States | Warsaw, Poland |
| Team size | 201–500 | 3,500+ |
| Rating | 4.3 / 5 | 3.7 / 5 |
| Best for | US and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm. | Companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group. |
| Pricing model | Time & materials, dedicated team | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | TensorFlow, PyTorch, OpenCV | Python, AWS, Apache Spark |
| Industries served | Healthcare, Retail & E-commerce, FinTech, Manufacturing | FinTech, Retail & E-commerce, Healthcare, Manufacturing |
MobiDev vs Innowise: overview
MobiDev
MobiDev was founded in 2009 and is headquartered in Atlanta, Georgia, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine staffing roughly 400 engineers. The company extended into dedicated AI consulting and engineering in 2018 and was recognized by Clutch as the #1 Machine Learning development company in 2021. Employee-count sources vary — Clutch cites around 150, while company materials cite 400+ — so prospective clients should confirm current team size for their specific engagement.
Innowise
Innowise was founded in 2007 and is headquartered in Warsaw, Poland, with more than 3,500 vetted engineers on staff. The company's Data and AI hub reportedly unites 300+ specialists who have delivered 200+ AI-enabled projects, maintaining dedicated practices in machine learning, big data analytics, robotic process automation, and metaverse development. While the AI hub's 300-person headcount is sizable in absolute terms, it represents less than 10% of Innowise's total 3,500+ engineering staff, reflecting the company's broader identity as a general software engineering group.
Services and capabilities: MobiDev vs Innowise
| Capability | MobiDev | Innowise |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✗ | ✗ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: MobiDev vs Innowise
| Framework / platform | MobiDev | Innowise |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: MobiDev vs Innowise
| Criterion | MobiDev | Innowise |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Time & materials, Fixed project | Dedicated team, Time & materials, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: MobiDev vs Innowise
| Dimension | MobiDev | Innowise |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail & E-commerce, FinTech | FinTech, Retail & E-commerce, Healthcare |
| Best use cases | Healthcare or retail company wants a Clutch-recognized top ML vendor for a computer vision or NLP project., Company needs geographic delivery redundancy across two R&D centers (Poland, Ukraine). | Company wants a dedicated AI/data hub with 200+ prior AI project deliveries, backed by a large staffing pool., Enterprise needs machine learning plus robotic process automation from a single large vendor. |
| Typical project type | Dedicated team | Dedicated team |
MobiDev vs Innowise: pros and cons
| MobiDev | |
|---|---|
| + | Clutch's #1 Machine Learning development company ranking in 2021 is a third-party, verifiable recognition rather than self-reported. |
| + | Dedicated AI consulting/engineering practice since 2018, not a general software shop retrofitting AI onto its offering. |
| + | Dual R&D centers in Poland and Ukraine provide geographic delivery redundancy. |
| + | 15+ years of company history (since 2009) predates the current AI hiring boom, indicating organic rather than opportunistic AI growth. |
| - | Employee-count sources conflict meaningfully (150 on Clutch vs. 400+ on company materials) — confirm current AI-team headcount directly before contracting. |
| - | US headquarters is primarily a commercial front office; delivery is centered in Poland/Ukraine, which is standard for the model but worth knowing upfront. |
| Innowise | |
|---|---|
| + | 300+ person Data and AI hub is a specifically named, dedicated practice rather than an unstructured claim of AI capability. |
| + | 200+ AI-enabled projects delivered gives the AI hub a meaningful, quantified track record. |
| + | 3,500+ total engineers provide substantial staffing depth to scale an engagement quickly if needed. |
| + | 17 years of company history (since 2007) as an award-winning custom software developer with strong Clutch client reviews. |
| - | The 300-person AI hub represents a small fraction (well under 10%) of Innowise's total 3,500+ engineering staff — confirm the engagement is staffed from the AI hub specifically. |
| - | Broader company identity is general custom software development, with AI/ML as one of several practice areas (alongside RPA and metaverse development). |
Who should choose MobiDev?
MobiDev is the right choice for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm..
Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail & E-commerce, FinTech, Manufacturing.
Who should choose Innowise?
Innowise is the right choice for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group..
A specifically named 300+ person Data and AI hub within a much larger 3,500+ engineer group, giving both focus and scale.. Minimum engagement starts at Not published. Works best with clients in FinTech, Retail & E-commerce, Healthcare, Manufacturing.
Decision matrix: MobiDev vs Innowise
| 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 Innowise (Not published) |
| You need specialist depth in a specific vertical | MobiDev |
| You need production MLOps support after model launch | MobiDev |
| 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 |
|---|---|---|---|
| Healthcare or retail company wants a Clutch-recognized top ML vendor for a computer vision or NLP project. | Strong | Limited | MobiDev |
| Company needs geographic delivery redundancy across two R&D centers (Poland, Ukraine). | Strong | Strong | Both equally |
| Company wants a dedicated AI/data hub with 200+ prior AI project deliveries, backed by a large staffing pool. | Strong | Strong | Both equally |
| Enterprise needs machine learning plus robotic process automation from a single large vendor. | Limited | Strong | Innowise |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: MobiDev vs Innowise
MobiDev (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018.. It is best for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm..
Innowise (3.7/5) is the better choice when companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group.. If your situation matches those criteria, Innowise is a competitive option.
Related comparisons
MobiDev vs Innowise FAQ
Is MobiDev better than Innowise?
MobiDev (4.3/5) scores higher overall, but "better" depends on your use case. MobiDev is better for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm.. Innowise is better for companies wanting a dedicated 300-person AI/data hub backed by the staffing depth of a 3,500+ engineer group..
How do MobiDev and Innowise differ in pricing?
MobiDev uses time & materials, dedicated team pricing with a minimum engagement of Not published. Innowise uses time & materials, dedicated team 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 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 company before shortlisting.
What are the main differences between MobiDev and Innowise?
MobiDev's primary differentiator is: clutch's #1-ranked machine learning development company (2021), with a dedicated ai practice since 2018.. Innowise's primary differentiator is: a specifically named 300+ person data and ai hub within a much larger 3,500+ engineer group, giving both focus and scale.. They also differ in team size (201–500 vs 3,500+), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail & E-commerce vs FinTech, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.