MobiDev
Software consultancy founded in 2009 with a dedicated data science and machine learning practice.
Founded 2009 | Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine) | 201–500 employees | Last updated: July 2026
custom-model-trainingcomputer-visiondata-engineering-mlml-consulting
What is MobiDev?
MobiDev is a software development and consulting company founded in 2009, with business units in Norcross, Georgia (US) and Sheffield (UK), and R&D delivery centers in Lodz, Poland and Chernivtsi, Ukraine staffed by more than 400 engineers. Its consulting services span data science, machine learning, augmented reality, IoT, and DevOps, aimed at small and medium-sized companies rather than large enterprises. The company reports a 100 percent project success rate on Upwork and was named the #1 machine learning development company by Clutch in 2021.
MobiDev was founded in 2009 and is headquartered in Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine). The firm employs 201–500 people and works primarily with clients in Healthcare, Retail, Manufacturing, Media sectors. Its primary differentiator is: Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model..
MobiDev tech stack and services
PythonComputer vision frameworksCloud ML platformsKubernetesDocker
| Service area | Details |
|---|---|
| Building a custom ML model for a small or medium-sized business without an internal data science team | Available for Healthcare, Retail, Manufacturing, Media clients |
| Combining computer vision or ML work with broader mobile/IoT product development | Available for Healthcare, Retail, Manufacturing, Media clients |
| Running a well-defined, fixed-scope ML pilot project | Available for Healthcare, Retail, Manufacturing, Media clients |
| Augmenting an SME's existing engineering team with dedicated ML specialists | Available for Healthcare, Retail, Manufacturing, Media clients |
MobiDev use cases
Short answer: MobiDev is best suited for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner..
| Use case | Industries | Approach |
|---|---|---|
| Building a custom ML model for a small or medium-sized business without an internal data science team | Healthcare, Retail | Python, Computer vision frameworks |
| Combining computer vision or ML work with broader mobile/IoT product development | Healthcare, Retail | Python, Computer vision frameworks |
| Running a well-defined, fixed-scope ML pilot project | Healthcare, Retail | Python, Computer vision frameworks |
| Augmenting an SME's existing engineering team with dedicated ML specialists | Healthcare, Retail | Python, Computer vision frameworks |
MobiDev pricing
Short answer: MobiDev uses a time & material, fixed project pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Time & Material | Variable; depends on team size | Large programmes or team augmentation |
| Fixed project | From Not published | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
MobiDev does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
MobiDev pros and cons
| Advantages | Things to consider |
|---|---|
| +Historical Clutch #1 ranking in machine learning development (2021). | -Team-size figures vary by source (roughly 200–500), indicating some reporting inconsistency. |
| +16 Clutch reviews with consistently positive delivery feedback. | -SME focus may mean less experience with very large, complex enterprise-scale ML platforms. |
| +Explicit focus on small/medium-sized clients, a niche underserved by larger enterprise-first firms. | -Machine learning is one of several practice areas (alongside AR, IoT) rather than the sole focus. |
| +Multi-country delivery footprint (Poland, Ukraine) with 400+ engineers provides meaningful bench depth. | -Minimum engagement size is not published, requiring a scoping conversation. |
MobiDev vs alternatives
How MobiDev compares to the other top ML Model Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market fintech, supply chain, and SaaS companies that... | Combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in. | 4.8 | Full comparison |
| Neurons Lab | Financial services firms wanting a boutique, engineering-led partner... | End-to-end delivery model from use-case scoping to continuous production support, with declared depth in financial services. | 4.6 | Full comparison |
| DataRoot Labs | Startups and mid-market companies wanting a senior, AI-only... | Has never diversified beyond AI/ML services, and backs its delivery bench with an in-house ML training program (DataRoot University). | 4.6 | Full comparison |
| Miquido | Companies that need ML/computer-vision capability bundled with broader... | Combines a large, review-verified product engineering practice with a dedicated AI/ML/CV specialization, useful for teams needing both app and model work from one vendor. | 4.6 | Full comparison |
| Provectus | Mid-market companies that need cloud data infrastructure and... | Grew out of cloud and big-data engineering roots, giving it particular strength in the data infrastructure layer underneath ML models, not just the models themselves. | 4.5 | Full comparison |
| Neoteric | Organizations wanting a structured feasibility/strategy phase before committing... | Two-decade operating history combined with a formal upfront feasibility-assessment stage before any model-building work begins. | 4.5 | Full comparison |
| Addepto | Cost-conscious teams that specifically need MLOps consulting or... | Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option. | 4.4 | Full comparison |
| N-iX | Enterprise buyers wanting a large, heavily certified engineering... | Broadest cloud certification footprint in this comparison (350+ across five major platforms), backed by a 200+ person dedicated data practice. | 4.4 | Full comparison |
| InData Labs | Companies needing a focused predictive-analytics or computer-vision model... | Publishes concrete, quantified accuracy figures in its case studies rather than only qualitative outcome claims. | 4.3 | Full comparison |
| Sciforce | Companies needing a research-oriented boutique for NLP, digital... | R&D-first culture with named specializations in digital signal processing and NLP that are less commonly offered as distinct practice areas by peers. | 4.2 | Full comparison |
| Sigmoid | Enterprises whose primary bottleneck is data infrastructure and... | Data-engineering-first approach with 950+ multi-cloud certified engineers, positioning it as an infrastructure specialist that also delivers ML rather than the reverse. | 4.2 | Full comparison |
| Tredence | Enterprises needing vertical-specific analytics and ML applied to... | Venture-backed growth trajectory ($205M raised) with named specialization in supply chain and customer analytics rather than generic horizontal AI consulting. | 4.2 | Full comparison |
| Quantiphi | Enterprises standardized on AWS wanting a partner with... | Deepest AWS-specific partnership credentials among firms researched, including AWS GenAI Innovation Center preferred-partner status. | 4.2 | Full comparison |
| Sigma Software Group | Companies wanting a large, diversified engineering group with... | Snowflake AI Data Cloud partnership combined with unusually broad industry diversification (AdTech through aviation to gaming). | 4.1 | Full comparison |
| Intellectsoft | Companies wanting an enterprise-name client roster and a... | Unusually strong roster of large, publicly named enterprise clients (EY, Qualcomm, London Stock Exchange) for a company of its relatively modest team size. | 4.1 | Full comparison |
| ELEKS | Enterprises wanting a long-established European software engineering partner... | One of the longest operating histories (since 1991) among firms researched for this list, predating the AI consulting boom by decades. | 4.1 | Full comparison |
| Fractal Analytics | Large enterprises wanting a scaled analytics and AI... | Maintains a dedicated internal foundational AI research team alongside client delivery work, and is now a publicly listed company (NSE/BSE) rather than privately held like most peers of similar size. | 4.1 | Full comparison |
| Xebia | Enterprises wanting a large, engineering-craftsmanship-rooted consultancy that has... | Quarter-century software craftsmanship and technical training heritage now applied specifically to production AI/ML delivery rather than AI strategy alone. | 4.0 | Full comparison |
| Grid Dynamics | Fortune 1000 companies wanting the financial transparency and... | The only publicly traded company (NASDAQ: GDYN) in this comparison among the mid-to-large tier, giving buyers audited financial transparency unavailable from private peers. | 4.0 | Full comparison |
| Iterate.ai | Data-sensitive enterprises (e.g., regulated industries) that require AI... | Purpose-built for on-premise/private-infrastructure AI deployment, so client data and proprietary code never leave the client's own environment. | 4.0 | Full comparison |
| Modus Create | Distributed organizations wanting a remote-first partner that pairs... | Structured AI Data Foundation assessment methodology that explicitly evaluates data readiness before committing to model development. | 4.0 | Full comparison |
| Aptus Data Labs | Companies wanting a boutique, India-based data engineering and... | Combines core data engineering consulting with specific AWS AI service implementation expertise in a boutique-sized team. | 4.0 | Full comparison |
| SoftServe | Enterprises needing edge computer vision or asset-monitoring ML... | Only company in this list simultaneously holding AWS Premier, Google Cloud AI/ML Specialization, and NVIDIA Elite Consulting Partner status, reflecting particular strength in edge and GPU-accelerated computer vision. | 4.0 | Full comparison |
| DataRobot | Enterprises that want to standardize on a single... | The only platform-first vendor in this comparison, meaning model development work happens on and around DataRobot's own automated ML software rather than being platform-agnostic. | 3.9 | Full comparison |
| Persistent Systems | Mid-market and enterprise buyers wanting a publicly traded,... | Purpose-built DxH accelerator suite for MLOps and bias detection, plus a specific Everest Group Leader ranking in the mid-market Data & AI segment rather than only the largest enterprise tier. | 3.9 | Full comparison |
| EPAM Systems | Very large enterprises wanting a publicly traded, AWS... | Proprietary EPAM DIAL platform for enterprise AI orchestration, combined with the 2025 AWS Global Innovation Partner of the Year distinction, an award-level differentiator not held by most peers. | 3.9 | Full comparison |
| Globant | Large enterprises wanting industry-specific pre-packaged AI solutions ("AI... | Only company in this list organized around a formal "studio + AI Pods" delivery model, and the only one with an IDC MarketScape Worldwide Leader in AI Services designation. | 3.9 | Full comparison |
| LTIMindtree | Large enterprises, particularly in BFSI and technology/media sectors,... | Explicit ModelOps templates and model-governance/responsible-AI tooling as named, productized capabilities rather than only bespoke consulting delivery, backed by an IBM watsonx Center of Excellence. | 3.9 | Full comparison |
| Cognizant | Large enterprises, especially in healthcare, wanting a very... | Dedicated, named MLOps platform specifically built for healthcare, combined with one of the largest disclosed data/AI consultant headcounts (23,000+) in this comparison. | 3.9 | Full comparison |
| HCLTech | Very large enterprises wanting a full-stack AI vendor... | Unusually broad "chip-to-cloud" AI stack claim backed by two named proprietary platforms (Graviton for ML development, AION for AI lifecycle management), a combination not matched by most peers in this list. | 3.9 | Full comparison |
| Infosys | Very large global enterprises wanting a substantial library... | Largest disclosed library of reusable, pre-trained AI assets in this comparison (12,000+ assets, 150+ pre-trained models), positioned to accelerate delivery versus fully bespoke builds. | 3.9 | Full comparison |
| Accenture | The largest global enterprises needing AI model development... | By far the largest scale of any company in this comparison (approximately 779,000 employees, $69.67B FY2025 revenue), trading breadth and compliance maturity for less niche, hands-on model-engineering depth than boutique specialists. | 3.9 | Full comparison |
| Devbridge (a Cognizant company) | Clients who want Devbridge's original product-engineering delivery model... | The clearest ownership-change disclosure in this comparison: a formerly independent boutique now operating explicitly as a Cognizant subsidiary, combining boutique delivery heritage with large-parent-company backing. | 3.8 | Full comparison |
MobiDev FAQ
What is MobiDev?
MobiDev is a software development and consulting company founded in 2009, with business units in Norcross, Georgia (US) and Sheffield (UK), and R&D delivery centers in Lodz, Poland and Chernivtsi, Ukraine staffed by more than 400 engineers. Its consulting services span data science, machine learning, augmented reality, IoT, and DevOps, aimed at small and medium-sized companies rather than large enterprises. The company reports a 100 percent project success rate on Upwork and was named the #1 machine learning development company by Clutch in 2021.
How much does MobiDev charge?
MobiDev uses time & material, fixed project pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does MobiDev use?
MobiDev works with Python, Computer vision frameworks, Cloud ML platforms, Kubernetes, Docker. Primary industries served include Healthcare, Retail, Manufacturing, Media.
Is MobiDev right for enterprise?
Small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.. 201–500 team size. Key consideration: Team-size figures vary by source (roughly 200–500), indicating some reporting inconsistency..
What are the best MobiDev alternatives?
The best alternatives to MobiDev depend on your use case. Top options are:
- Tensorway: combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in.
- Neurons Lab: end-to-end delivery model from use-case scoping to continuous production support, with declared depth in financial services.
- DataRoot Labs: has never diversified beyond ai/ml services, and backs its delivery bench with an in-house ml training program (dataroot university).
Compare MobiDev with other ML Model Development companies
MobiDev vs Tensorway MobiDev vs Neurons Lab MobiDev vs DataRoot Labs MobiDev vs Miquido MobiDev vs Provectus MobiDev vs Neoteric MobiDev vs Addepto MobiDev vs N-iX MobiDev vs InData Labs MobiDev vs Sciforce MobiDev vs Sigmoid MobiDev vs Tredence MobiDev vs Quantiphi MobiDev vs Sigma Software Group MobiDev vs Intellectsoft MobiDev vs ELEKS MobiDev vs Fractal Analytics MobiDev vs Xebia MobiDev vs Grid Dynamics MobiDev vs Iterate.ai MobiDev vs Modus Create MobiDev vs Aptus Data Labs MobiDev vs SoftServe MobiDev vs DataRobot MobiDev vs Persistent Systems MobiDev vs EPAM Systems MobiDev vs Globant MobiDev vs LTIMindtree MobiDev vs Cognizant MobiDev vs HCLTech MobiDev vs Infosys MobiDev vs Accenture MobiDev vs Devbridge (a Cognizant company)
Last reviewed: July 2026. Verify all details directly with MobiDev before making a decision.