Persistent Systems vs MobiDev: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.2/5) edges ahead of Persistent Systems (3.8/5) overall. MobiDev is the better choice for retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record.. Persistent Systems is the stronger option for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. The right choice depends on your project size, budget, and required tech stack.
Persistent Systems vs MobiDev: head-to-head summary
| Criterion | Persistent Systems | MobiDev |
|---|---|---|
| Founded | 1990 | 2009 |
| HQ | Pune, India | Atlanta, Georgia, USA |
| Team size | 10,000+ | 201–500 |
| Rating | 3.8 / 5 | 4.2 / 5 |
| Best for | Very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate. | Retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record. |
| Pricing model | Managed services and fixed project | Fixed project and dedicated team |
| Min. engagement | Not published | $20K |
| Primary tech stack | Python, Azure OpenAI, AWS | Python, TensorFlow, OpenCV |
| Industries served | Financial Services, Healthcare, Technology/SaaS, Government | Retail, Hospitality, Health & Fitness, Sports |
Persistent Systems vs MobiDev: overview
Persistent Systems
Persistent Systems is an Indian multinational technology company founded in 1990 by Anand Deshpande, headquartered in Pune, with roughly 24,600 employees as of March 2025. Its AI/ML offerings, including the Persistent GenAI Hub, sit within a much larger portfolio spanning enterprise software, cloud, and digital engineering services rather than being the company's core specialization.
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: Persistent Systems vs MobiDev
| Capability | Persistent Systems | 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: Persistent Systems vs MobiDev
| Framework / platform | Persistent Systems | MobiDev |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | 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: Persistent Systems vs MobiDev
| Criterion | Persistent Systems | MobiDev |
|---|---|---|
| Minimum engagement | Not published | $20K |
| Engagement models | Managed services, Fixed project, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Enterprise / not published | Accessible |
Target audience comparison: Persistent Systems vs MobiDev
| Dimension | Persistent Systems | MobiDev |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial Services, Healthcare, Technology/SaaS | Retail, Hospitality, Health & Fitness |
| Best use cases | Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor, Very large, multi-year digital transformation programs where AI is one workstream among many | 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 | Managed services | Fixed project |
Persistent Systems vs MobiDev: pros and cons
| Persistent Systems | |
|---|---|
| + | 35 years of operating history and one of the largest headcounts on this list (24,000+) |
| + | AI capability delivered alongside a company's existing broader IT services relationship, reducing vendor sprawl |
| + | 16,000+ AI-trained staff cited internally, suggesting significant AI upskilling investment (per company website) |
| + | Public-company scale supports very large, multi-year enterprise transformation programs |
| - | AI/ML is one offering within a much larger, more generalist IT services portfolio rather than the firm's core focus |
| - | Buyers seeking cutting-edge ML specialization may find deeper expertise at AI-first boutiques on this list |
| - | Very large organization can mean slower response times and more layered account management than smaller firms |
| 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 Persistent Systems?
Persistent Systems is the right choice for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate..
Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Technology/SaaS, Government.
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: Persistent Systems vs MobiDev
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Persistent Systems |
| You need a large dedicated team for an ongoing programme | MobiDev |
| Your budget is at the lower end | Compare: Persistent Systems (Not published) vs MobiDev ($20K) |
| You need specialist depth in a specific vertical | Persistent Systems |
| You need staff augmentation or team extension | Persistent Systems |
| You need consulting before committing to a build | Persistent Systems |
Use case fit: Persistent Systems vs MobiDev
| Use case | Persistent Systems fit | MobiDev fit | Winner |
|---|---|---|---|
| Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor | Strong | Limited | Persistent Systems |
| Very large, multi-year digital transformation programs where AI is one workstream among many | Strong | Limited | Persistent Systems |
| 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: Persistent Systems vs MobiDev
MobiDev (4.2/5) is the stronger overall choice for most Machine Learning Development projects. 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals.. It is best for retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record..
Persistent Systems (3.8/5) is the better choice when very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. If your situation matches those criteria, Persistent Systems is a competitive option.
Related comparisons
Persistent Systems vs MobiDev FAQ
Is Persistent Systems better than MobiDev?
MobiDev (4.2/5) scores higher overall, but "better" depends on your use case. Persistent Systems is better for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. 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 Persistent Systems and MobiDev differ in pricing?
Persistent Systems uses managed services and fixed project pricing with a minimum engagement of Not published. 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: Persistent Systems 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 Persistent Systems and MobiDev?
Persistent Systems's primary differentiator is: enterprise-wide scale (24,000+ employees) supporting ai/ml as part of a full it services portfolio, not a standalone specialty.. 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 (10,000+ vs 201–500), minimum engagement (Not published vs $20K), and primary industries served (Financial Services, Healthcare vs Retail, Hospitality).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.