LatentView Analytics vs MobiDev: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.2/5) edges ahead of LatentView Analytics (3.9/5) 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.. LatentView Analytics is the stronger option for companies wanting analytics and BI delivery with ML capability layered in, rather than a pure-play ML specialist.. The right choice depends on your project size, budget, and required tech stack.
LatentView Analytics vs MobiDev: head-to-head summary
| Criterion | LatentView Analytics | MobiDev |
|---|---|---|
| Founded | 2006 | 2009 |
| HQ | Chennai, India | Atlanta, Georgia, USA |
| Team size | 1,001–5,000 | 201–500 |
| Rating | 3.9 / 5 | 4.2 / 5 |
| Best for | Companies wanting analytics and BI delivery with ML capability layered in, rather than a pure-play ML specialist. | 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 managed analytics services | Fixed project and dedicated team |
| Min. engagement | Not published | $20K |
| Primary tech stack | Python, Tableau, AWS | Python, TensorFlow, OpenCV |
| Industries served | Retail, Financial Services, Technology/SaaS, CPG | Retail, Hospitality, Health & Fitness, Sports |
LatentView Analytics vs MobiDev: overview
LatentView Analytics
LatentView Analytics is a business analytics and digital transformation consultancy founded in 2006 by Venkat Viswanathan and Pramod Jandhyala, headquartered in Chennai, India. The company completed an IPO on the NSE and BSE in December 2021, reporting record oversubscription, and now employs roughly 1,170 people. Its work spans broader business analytics and BI in addition to custom ML model development.
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: LatentView Analytics vs MobiDev
| Capability | LatentView Analytics | 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: LatentView Analytics vs MobiDev
| Framework / platform | LatentView Analytics | MobiDev |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | 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: LatentView Analytics vs MobiDev
| Criterion | LatentView Analytics | MobiDev |
|---|---|---|
| Minimum engagement | Not published | $20K |
| Engagement models | Fixed project, Managed services | Fixed project, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Enterprise / not published | Accessible |
Target audience comparison: LatentView Analytics vs MobiDev
| Dimension | LatentView Analytics | MobiDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Financial Services, Technology/SaaS | Retail, Hospitality, Health & Fitness |
| Best use cases | Companies wanting a combined BI dashboard and predictive-model deliverable, Retail or CPG analytics programs where ML is one part of a broader reporting stack | 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 |
LatentView Analytics vs MobiDev: pros and cons
| LatentView Analytics | |
|---|---|
| + | Public listing since December 2021 provides financial transparency uncommon among private competitors |
| + | 19 years of continuous operation with founders still central to the business |
| + | 1,170+ employees supports mid-to-large scale engagements |
| + | Broad BI and analytics capability useful for buyers who need reporting alongside ML |
| - | Core positioning is business analytics/BI first, with custom ML development as one offering rather than the central focus |
| - | Less specialist ML certification or AI-first branding than firms like Quantiphi or Neurons Lab |
| - | Minimum engagement size not publicly disclosed |
| 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 LatentView Analytics?
LatentView Analytics is the right choice for companies wanting analytics and BI delivery with ML capability layered in, rather than a pure-play ML specialist..
Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history.. Minimum engagement starts at Not published. Works best with clients in Retail, Financial Services, Technology/SaaS, CPG.
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: LatentView Analytics vs MobiDev
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | LatentView Analytics |
| You need a large dedicated team for an ongoing programme | MobiDev |
| Your budget is at the lower end | Compare: LatentView Analytics (Not published) vs MobiDev ($20K) |
| You need specialist depth in a specific vertical | LatentView Analytics |
| 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: LatentView Analytics vs MobiDev
| Use case | LatentView Analytics fit | MobiDev fit | Winner |
|---|---|---|---|
| Companies wanting a combined BI dashboard and predictive-model deliverable | Strong | Strong | Both equally |
| Retail or CPG analytics programs where ML is one part of a broader reporting stack | Strong | Strong | Both equally |
| Retail or hospitality companies wanting computer-vision or recommendation features built into an existing product | Strong | Strong | Both equally |
| 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: LatentView Analytics 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..
LatentView Analytics (3.9/5) is the better choice when companies wanting analytics and BI delivery with ML capability layered in, rather than a pure-play ML specialist.. If your situation matches those criteria, LatentView Analytics is a competitive option.
Related comparisons
LatentView Analytics vs MobiDev FAQ
Is LatentView Analytics better than MobiDev?
MobiDev (4.2/5) scores higher overall, but "better" depends on your use case. LatentView Analytics is better for companies wanting analytics and BI delivery with ML capability layered in, rather than a pure-play ML specialist.. 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 LatentView Analytics and MobiDev differ in pricing?
LatentView Analytics uses fixed project and managed analytics services 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: LatentView Analytics or MobiDev?
LatentView Analytics 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 LatentView Analytics and MobiDev?
LatentView Analytics's primary differentiator is: publicly listed (nse/bse since 2021) analytics firm with two decades of operating history.. 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 (1,001–5,000 vs 201–500), minimum engagement (Not published vs $20K), and primary industries served (Retail, Financial Services vs Retail, Hospitality).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.