MobiDev vs DataArt: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.3/5) edges ahead of DataArt (3.9/5) 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.. DataArt is the stronger option for regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks.. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs DataArt: head-to-head summary
| Criterion | MobiDev | DataArt |
|---|---|---|
| Founded | 2009 | 1997 |
| HQ | Atlanta, Georgia, United States | New York, New York, United States |
| Team size | 201–500 | 6,000+ |
| Rating | 4.3 / 5 | 3.9 / 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. | Regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks. |
| Pricing model | Time & materials, dedicated team | Time & materials, managed engagement |
| Min. engagement | Not published | Not published |
| Primary tech stack | TensorFlow, PyTorch, OpenCV | Python, AWS, Azure |
| Industries served | Healthcare, Retail & E-commerce, FinTech, Manufacturing | FinTech, Media & Entertainment, Healthcare, Retail & E-commerce, Travel & Hospitality |
MobiDev vs DataArt: 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.
DataArt
DataArt was founded in 1997 in New York City by Eugene Goland and has grown to more than 6,000 engineers across 40+ locations in the US, UK, Europe, Latin America, India, and the Middle East. The firm delivers data, analytics, and AI platforms for finance, media, healthcare, retail, and travel clients, built around Artisyn, its AI-enabled operating model that embeds AI agents and governance frameworks across the software development lifecycle, including regulated industries. Clients cited on its Clutch profile include Priceline, Ocado Technology, Legal & General, and Flutter Entertainment.
Services and capabilities: MobiDev vs DataArt
| Capability | MobiDev | DataArt |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✗ | ✓ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: MobiDev vs DataArt
| Framework / platform | MobiDev | DataArt |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | ✓ |
Pricing comparison: MobiDev vs DataArt
| Criterion | MobiDev | DataArt |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Time & materials, Fixed project | Managed engagement, Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: MobiDev vs DataArt
| Dimension | MobiDev | DataArt |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail & E-commerce, FinTech | FinTech, Media & Entertainment, 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). | Regulated financial services or healthcare company needs AI delivery with a built-in governance framework., Enterprise wants a vendor with named, publicly referenceable clients like Priceline and Legal & General. |
| Typical project type | Dedicated team | Managed engagement |
MobiDev vs DataArt: 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. |
| DataArt | |
|---|---|
| + | Named enterprise clients (Priceline, Ocado Technology, Legal & General, Flutter Entertainment) are independently verifiable via public case studies. |
| + | 27+ years of operating history (since 1997) gives it one of the longer track records in this list. |
| + | Artisyn operating model specifically addresses AI governance for regulated industries like financial services and healthcare, a genuine differentiator. |
| + | 6,000+ engineers across 40+ global locations provide substantial delivery capacity and geographic flexibility. |
| - | At 6,000+ employees, engagements are structured around managed delivery rather than close founder-level involvement. |
| - | AI/ML is one of several core service lines (alongside broader data/analytics platform work), not the firm's exclusive focus. |
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 DataArt?
DataArt is the right choice for regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks..
Artisyn, a proprietary AI-enabled operating model embedding governance and AI agents across the delivery lifecycle.. Minimum engagement starts at Not published. Works best with clients in FinTech, Media & Entertainment, Healthcare, Retail & E-commerce, Travel & Hospitality.
Decision matrix: MobiDev vs DataArt
| 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 DataArt (Not published) |
| You need specialist depth in a specific vertical | DataArt |
| You need production MLOps support after model launch | MobiDev |
| You need consulting before committing to a build | DataArt |
Use case fit: MobiDev vs DataArt
| Use case | MobiDev fit | DataArt fit | Winner |
|---|---|---|---|
| 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 |
| Regulated financial services or healthcare company needs AI delivery with a built-in governance framework. | Limited | Strong | DataArt |
| Enterprise wants a vendor with named, publicly referenceable clients like Priceline and Legal & General. | Limited | Strong | DataArt |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: MobiDev vs DataArt
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..
DataArt (3.9/5) is the better choice when regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks.. If your situation matches those criteria, DataArt is a competitive option.
Related comparisons
MobiDev vs DataArt FAQ
Is MobiDev better than DataArt?
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.. DataArt is better for regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks..
How do MobiDev and DataArt differ in pricing?
MobiDev uses time & materials, dedicated team pricing with a minimum engagement of Not published. DataArt uses time & materials, managed engagement 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 DataArt?
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 DataArt?
MobiDev's primary differentiator is: clutch's #1-ranked machine learning development company (2021), with a dedicated ai practice since 2018.. DataArt's primary differentiator is: artisyn, a proprietary ai-enabled operating model embedding governance and ai agents across the delivery lifecycle.. They also differ in team size (201–500 vs 6,000+), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail & E-commerce vs FinTech, Media & Entertainment).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.