InData Labs vs MobiDev: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.5/5) edges ahead of MobiDev (4.3/5) overall. InData Labs is the better choice for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead.. MobiDev is the stronger option for uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs MobiDev: head-to-head summary
| Criterion | InData Labs | MobiDev |
|---|---|---|
| Founded | 2014 | 2009 |
| HQ | Limassol, Cyprus | Atlanta, Georgia, United States |
| Team size | 50–100 | 201–500 |
| Rating | 4.5 / 5 | 4.3 / 5 |
| Best for | FinTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead. | US and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm. |
| Pricing model | Project-based, dedicated team | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | TensorFlow, PyTorch, OpenCV |
| Industries served | FinTech, Healthcare, Retail & E-commerce, Logistics & Supply Chain | Healthcare, Retail & E-commerce, FinTech, Manufacturing |
InData Labs vs MobiDev: overview
InData Labs
InData Labs was founded in 2014 by Marat Karpeko and is headquartered in Limassol, Cyprus, with additional offices in Lithuania and the United States. The company has stayed a pure-play AI/data-science consultancy for over a decade, building production ML systems for fintech, healthcare, SaaS, retail, and logistics clients, and is listed in Clutch's Top 10 AI Software Companies leaders matrix. At roughly 80 professionals, it is one of the smaller specialist firms in this list, trading scale for narrower focus.
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.
Services and capabilities: InData Labs vs MobiDev
| Capability | InData Labs | MobiDev |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✓ |
| NLP | ✗ | ✓ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✗ | ✗ |
Tech stack comparison: InData Labs vs MobiDev
| Framework / platform | InData Labs | MobiDev |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: InData Labs vs MobiDev
| Criterion | InData Labs | MobiDev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Dedicated team | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InData Labs vs MobiDev
| Dimension | InData Labs | MobiDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Retail & E-commerce | Healthcare, Retail & E-commerce, FinTech |
| Best use cases | FinTech company needs predictive analytics built by a team that has done nothing but AI/data science since 2014., Healthcare startup needs a computer vision model with a small, senior delivery team. | 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). |
| Typical project type | Project-based | Dedicated team |
InData Labs vs MobiDev: pros and cons
| InData Labs | |
|---|---|
| + | Has operated as a dedicated AI/data science firm since 2014 with no pivot to general software outsourcing. |
| + | Ranked in Clutch's Top 10 AI Software Companies leaders matrix. |
| + | Covers the full pipeline from data engineering through generative AI and computer vision, avoiding narrow single-service lock-in. |
| + | Smaller team size (~80) generally means less account-management overhead between client and engineers. |
| - | At roughly 80 people, InData Labs cannot staff large multi-workstream enterprise programs the way a 2,000+ person firm can. |
| - | Limassol, Cyprus HQ has a thinner regional case-study base in North America compared to US-headquartered peers. |
| 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. |
Who should choose InData Labs?
InData Labs is the right choice for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead..
Ten-plus years as a pure-play AI/data-science firm with no general software-development sideline.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Retail & E-commerce, Logistics & Supply Chain.
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.
Decision matrix: InData Labs vs MobiDev
| 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 | InData Labs |
| Your budget is at the lower end | Compare: InData Labs (Not published) vs MobiDev (Not published) |
| You need specialist depth in a specific vertical | InData Labs |
| 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: InData Labs vs MobiDev
| Use case | InData Labs fit | MobiDev fit | Winner |
|---|---|---|---|
| FinTech company needs predictive analytics built by a team that has done nothing but AI/data science since 2014. | Strong | Limited | InData Labs |
| Healthcare startup needs a computer vision model with a small, senior delivery team. | Strong | Strong | Both equally |
| Healthcare or retail company wants a Clutch-recognized top ML vendor for a computer vision or NLP project. | Strong | Strong | Both equally |
| Company needs geographic delivery redundancy across two R&D centers (Poland, Ukraine). | Strong | Strong | Both equally |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: InData Labs vs MobiDev
InData Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Ten-plus years as a pure-play AI/data-science firm with no general software-development sideline.. It is best for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead..
MobiDev (4.3/5) is the better choice when uS and EU companies that want an ML vendor with a dedicated 2018-founded AI practice inside a larger, established engineering firm.. If your situation matches those criteria, MobiDev is a competitive option.
Related comparisons
InData Labs vs MobiDev FAQ
Is InData Labs better than MobiDev?
InData Labs (4.5/5) scores higher overall, but "better" depends on your use case. InData Labs is better for finTech, healthcare, and SaaS companies that want a decade-old AI specialist without enterprise-scale overhead.. 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..
How do InData Labs and MobiDev differ in pricing?
InData Labs uses project-based, dedicated team pricing with a minimum engagement of Not published. MobiDev 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: InData Labs 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 company before shortlisting.
What are the main differences between InData Labs and MobiDev?
InData Labs's primary differentiator is: ten-plus years as a pure-play ai/data-science firm with no general software-development sideline.. MobiDev's primary differentiator is: clutch's #1-ranked machine learning development company (2021), with a dedicated ai practice since 2018.. They also differ in team size (50–100 vs 201–500), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Healthcare vs Healthcare, Retail & E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.