Provectus vs MobiDev: full comparison for 2026
Last updated: July 2026
Quick verdict
Provectus (4.5/5) edges ahead of MobiDev (4.2/5) overall. Provectus is the better choice for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator.. MobiDev is the stronger option for retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record.. The right choice depends on your project size, budget, and required tech stack.
Provectus vs MobiDev: head-to-head summary
| Criterion | Provectus | MobiDev |
|---|---|---|
| Founded | 2010 | 2009 |
| HQ | Palo Alto, California, USA | Atlanta, Georgia, USA |
| Team size | 501–1,000 | 201–500 |
| Rating | 4.5 / 5 | 4.2 / 5 |
| Best for | Mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator. | Retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record. |
| Pricing model | Fixed project and dedicated team engagements | Fixed project and dedicated team |
| Min. engagement | $50K | $20K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, OpenCV |
| Industries served | Retail, Healthcare, Financial Services, Technology/SaaS | Retail, Hospitality, Health & Fitness, Sports |
Provectus vs MobiDev: overview
Provectus
Provectus is an AI and cloud engineering consultancy founded in 2010 by Stepan Pushkarev, headquartered in Palo Alto with 500–1,000 employees across roughly nine locations. The company positions itself as a mid-market AI-first systems integrator, combining big-data engineering, cloud engineering, and applied ML/AI practices, and holds partner status with major cloud providers (per company website; independently unverifiable exact partnership tier).
MobiDev
MobiDev is a custom software development company founded in 2009, headquartered in Atlanta, Georgia, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine, and roughly 290–400 engineers. CEO Oleg Lola initiated a dedicated AI/ML practice in 2018, and the company has since delivered more than 65 AI/ML products, concentrated in retail, hospitality, fitness, sports, and health/wellness.
Services and capabilities: Provectus vs MobiDev
| Capability | Provectus | MobiDev |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✓ |
| NLP & LLM / Generative AI | ✗ | ✗ |
| MLOps & production deployment | ✓ | ✗ |
| Data engineering | ✓ | ✓ |
| AI strategy consulting | ✓ | ✗ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: Provectus vs MobiDev
| Framework / platform | Provectus | MobiDev |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: Provectus vs MobiDev
| Criterion | Provectus | MobiDev |
|---|---|---|
| Minimum engagement | $50K | $20K |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Provectus vs MobiDev
| Dimension | Provectus | MobiDev |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Retail, Healthcare, Financial Services | Retail, Hospitality, Health & Fitness |
| Best use cases | Consolidating a fragmented cloud + data + ML stack under one delivery partner, Standing up a big-data platform that feeds downstream ML models | Retail or hospitality companies wanting computer-vision or recommendation features built into an existing product, Health and fitness apps needing an ML-driven personalization or tracking feature |
| Typical project type | Fixed project | Fixed project |
Provectus vs MobiDev: pros and cons
| Provectus | |
|---|---|
| + | 15 years of continuous operation gives a longer delivery track record than most boutiques on this list |
| + | Combines data engineering and MLOps with model development, reducing hand-off friction between teams |
| + | 500–1,000 employee scale supports multiple concurrent enterprise workstreams |
| + | Established cloud-provider relationships support production deployment at scale |
| - | Broader systems-integrator scope means ML-specialist depth is spread across cloud and data-engineering practices rather than singularly focused |
| - | Mid-market pricing and minimums put it out of reach for very small pilot projects |
| - | Public reporting on exact current headcount varies by source (500–1,000 vs. ~700), so buyers should confirm team size directly |
| MobiDev | |
|---|---|
| + | 65+ delivered AI/ML products gives a concrete, countable delivery track record rather than general marketing claims |
| + | Deliberate AI/ML practice build-out since 2018, rather than a very recent pivot |
| + | Named vertical concentration (retail, hospitality, fitness, health) supports domain-specific product experience |
| + | Mid-size team (290–400) balances specialist focus with real delivery capacity |
| - | Narrower industry focus than horizontal AI consultancies serving finance, healthcare, and manufacturing broadly |
| - | Smaller scale than the large enterprise IT firms on this list, limiting very large multi-team programs |
| - | AI/ML sits alongside a broader general custom-software-development practice |
Who should choose Provectus?
Provectus is the right choice for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator..
Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice.. Minimum engagement starts at $50K. Works best with clients in Retail, Healthcare, Financial Services, Technology/SaaS.
Who should choose MobiDev?
MobiDev is the right choice for retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record..
65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals.. Minimum engagement starts at $20K. Works best with clients in Retail, Hospitality, Health & Fitness, Sports.
Decision matrix: Provectus vs MobiDev
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Provectus |
| You need a large dedicated team for an ongoing programme | Provectus |
| Your budget is at the lower end | MobiDev |
| You need specialist depth in a specific vertical | Provectus |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Provectus |
Use case fit: Provectus vs MobiDev
| Use case | Provectus fit | MobiDev fit | Winner |
|---|---|---|---|
| Consolidating a fragmented cloud + data + ML stack under one delivery partner | Strong | Limited | Provectus |
| Standing up a big-data platform that feeds downstream ML models | Strong | Limited | Provectus |
| Retail or hospitality companies wanting computer-vision or recommendation features built into an existing product | Limited | Strong | MobiDev |
| Health and fitness apps needing an ML-driven personalization or tracking feature | Limited | Strong | MobiDev |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Provectus vs MobiDev
Provectus (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice.. It is best for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator..
MobiDev (4.2/5) is the better choice when retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record.. If your situation matches those criteria, MobiDev is a competitive option.
Related comparisons
Provectus vs MobiDev FAQ
Is Provectus better than MobiDev?
Provectus (4.5/5) scores higher overall, but "better" depends on your use case. Provectus is better for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator.. MobiDev is better for retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record..
How do Provectus and MobiDev differ in pricing?
Provectus uses fixed project and dedicated team engagements pricing with a minimum engagement of $50K. MobiDev uses fixed project and dedicated team pricing with a minimum engagement of $20K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Provectus or MobiDev?
Provectus 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 Provectus and MobiDev?
Provectus's primary differentiator is: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.. MobiDev's primary differentiator is: 65+ delivered ai/ml products concentrated in retail, hospitality, fitness, and health/wellness verticals.. They also differ in team size (501–1,000 vs 201–500), minimum engagement ($50K vs $20K), and primary industries served (Retail, Healthcare vs Retail, Hospitality).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.