MobiDev vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.1/5) edges ahead of ELEKS (3.6/5) overall. MobiDev is the better choice for companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D. ELEKS is the stronger option for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs ELEKS: head-to-head summary
| Criterion | MobiDev | ELEKS |
|---|---|---|
| Founded | 2009 | 1991 |
| HQ | Atlanta, GA, USA / Sheffield, UK | Lviv, Ukraine / Chicago, IL, USA |
| Team size | 400–600 | 2,000–3,000 |
| Rating | 4.1 / 5 | 3.6 / 5 |
| Best for | Companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D | Enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes |
| Pricing model | Fixed project, dedicated team, T&M | Dedicated team, T&M, fixed project |
| Min. engagement | $30K | $100K |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Scikit-learn, TensorFlow |
| Industries served | Healthcare, Fintech, Retail, Logistics, E-commerce | Healthcare, Manufacturing, Fintech, Retail, Logistics |
MobiDev vs ELEKS: overview
MobiDev
MobiDev is a software and machine learning company headquartered in Atlanta, Georgia and Sheffield, UK, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine. The firm employs 400+ engineers and offers full-range machine learning services including deep learning, data science, computer vision, NLP, and GPT model integration. MobiDev's ML practice covers all stages from data collection and model training through integration and post-deployment monitoring. The company serves clients across healthcare, fintech, retail, and logistics with a product-engineering mindset that emphasises buildable, maintainable production systems.
ELEKS
ELEKS is a software engineering and technology consulting company established in 1991 in Lviv, Ukraine, with offices in Chicago, Illinois and across Europe and globally, employing 2,100+ professionals. The company has a 35-year track record with over 1,000 successfully delivered data-driven projects and serves Fortune 500 companies alongside mid-market clients. ELEKS delivers machine learning solutions for market forecasting, demand prediction, capacity planning, and inventory management, with clients across healthcare, retail, financial services, and manufacturing.
Services and capabilities: MobiDev vs ELEKS
| Capability | MobiDev | ELEKS |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & text analytics | ✓ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| ML consulting & strategy | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: MobiDev vs ELEKS
| Framework / platform | MobiDev | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | ✓ | N/A |
| LangChain | ✓ | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: MobiDev vs ELEKS
| Criterion | MobiDev | ELEKS |
|---|---|---|
| Minimum engagement | $30K | $100K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: MobiDev vs ELEKS
| Dimension | MobiDev | ELEKS |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Fintech, Retail | Healthcare, Manufacturing, Fintech |
| Best use cases | ML features integrated into mobile and web product builds for healthcare and fintech, Deep learning models for medical imaging analysis and diagnostics | Market forecasting ML for retail sales planning and inventory optimisation, Demand prediction for manufacturing capacity planning and scheduling |
| Typical project type | Fixed project | Dedicated team |
MobiDev vs ELEKS: pros and cons
| MobiDev | |
|---|---|
| + | US and UK presence with European R&D centres for cost-efficient delivery without quality compromise |
| + | Full-range ML coverage including deep learning, NLP, computer vision, and generative AI |
| + | 400+ engineers provide staffing capacity for scaling concurrent programmes |
| + | Product engineering mindset ensures ML is built into working software, not isolated prototypes |
| + | Strong GPT and LLM integration capability for modern AI-powered product features |
| - | Broad ML coverage may lack specialist depth on highly novel deep learning research problems |
| - | Poland and Ukraine R&D centres require business continuity planning for critical long-term programmes |
| - | Case study library is less publicly extensive than some larger or boutique competitors |
| ELEKS | |
|---|---|
| + | 35-year track record with 1,000+ delivered data-driven projects at named enterprise clients |
| + | Fortune 500 client experience provides enterprise delivery maturity and governance |
| + | US Chicago office for North American enterprise client engagement and relationship management |
| + | Wide industry coverage across healthcare, retail, manufacturing, and financial services |
| + | 2,100+ engineers provide delivery capacity for large concurrent enterprise programmes |
| - | $100K minimum engagement limits access to enterprise-scale budgets only |
| - | ML is one service within a broad software engineering practice — not AI-first |
| - | Ukraine primary delivery requires business continuity assessment for regulated industries |
Who should choose MobiDev?
MobiDev is the right choice for companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D.
US/UK-managed ML engineering firm with 400+ engineers and documented deep learning, NLP, and GPT integration across product development. Minimum engagement starts at $30K. Works best with clients in Healthcare, Fintech, Retail, Logistics, E-commerce.
Who should choose ELEKS?
ELEKS is the right choice for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients. Minimum engagement starts at $100K. Works best with clients in Healthcare, Manufacturing, Fintech, Retail, Logistics.
Decision matrix: MobiDev vs ELEKS
| 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 | MobiDev |
| You need specialist depth in a specific vertical | MobiDev |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | ELEKS |
Use case fit: MobiDev vs ELEKS
| Use case | MobiDev fit | ELEKS fit | Winner |
|---|---|---|---|
| ML features integrated into mobile and web product builds for healthcare and fintech | Strong | Strong | Both equally |
| Deep learning models for medical imaging analysis and diagnostics | Strong | Limited | MobiDev |
| Market forecasting ML for retail sales planning and inventory optimisation | Limited | Strong | ELEKS |
| Demand prediction for manufacturing capacity planning and scheduling | Limited | Strong | ELEKS |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: MobiDev vs ELEKS
MobiDev (4.1/5) is the stronger overall choice for most Machine Learning Development projects. US/UK-managed ML engineering firm with 400+ engineers and documented deep learning, NLP, and GPT integration across product development. It is best for companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D.
ELEKS (3.6/5) is the better choice when enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. If your situation matches those criteria, ELEKS is a competitive option.
Related comparisons
MobiDev vs ELEKS FAQ
Is MobiDev better than ELEKS?
MobiDev (4.1/5) scores higher overall, but "better" depends on your use case. MobiDev is better for companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D. ELEKS is better for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
How do MobiDev and ELEKS differ in pricing?
MobiDev uses fixed project, dedicated team, t&m pricing with a minimum engagement of $30K. ELEKS uses dedicated team, t&m, fixed project pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: MobiDev or ELEKS?
ELEKS 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 ELEKS?
MobiDev's primary differentiator is: us/uk-managed ml engineering firm with 400+ engineers and documented deep learning, nlp, and gpt integration across product development. ELEKS's primary differentiator is: 35-year software engineering heritage with 1,000+ delivered data-driven projects and us presence in chicago for north american enterprise clients. They also differ in team size (400–600 vs 2,000–3,000), minimum engagement ($30K vs $100K), and primary industries served (Healthcare, Fintech vs Healthcare, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.