MobiDev vs Codiant: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.1/5) edges ahead of Codiant (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. Codiant is the stronger option for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Codiant: head-to-head summary
| Criterion | MobiDev | Codiant |
|---|---|---|
| Founded | 2009 | 2011 |
| HQ | Atlanta, GA, USA / Sheffield, UK | Illinois, USA / India |
| Team size | 400–600 | 200–300 |
| 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 | Startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost |
| Pricing model | Fixed project, dedicated team, T&M | Fixed project, dedicated team, T&M |
| Min. engagement | $30K | $15K |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, TensorFlow, PyTorch |
| Industries served | Healthcare, Fintech, Retail, Logistics, E-commerce | Healthcare, Fintech, E-commerce, SaaS, Logistics |
MobiDev vs Codiant: 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.
Codiant
Codiant is a software development company headquartered in Illinois, USA with a development centre in India and offices in the UK, Australia, and UAE, employing 240+ full-time professionals. The company is a subsidiary of Yash Technologies and delivers custom AI and ML solutions alongside web and mobile development for startups and enterprises across five continents. Codiant holds ISO 9001 and ISO/IEC 27001:2013 certifications and has completed 700+ projects for 200+ active clients. The ML practice covers data engineering, model development, and integration into web and mobile platforms.
Services and capabilities: MobiDev vs Codiant
| Capability | MobiDev | Codiant |
|---|---|---|
| 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 Codiant
| Framework / platform | MobiDev | Codiant |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | N/A |
| Hugging Face | ✓ | N/A |
| LangChain | ✓ | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: MobiDev vs Codiant
| Criterion | MobiDev | Codiant |
|---|---|---|
| Minimum engagement | $30K | $15K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Fixed project, Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: MobiDev vs Codiant
| Dimension | MobiDev | Codiant |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Fintech, Retail | Healthcare, Fintech, E-commerce |
| 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 | ML features integrated into mobile and web application product builds, Predictive analytics for e-commerce product recommendation and personalisation |
| Typical project type | Fixed project | Fixed project |
MobiDev vs Codiant: 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 |
| Codiant | |
|---|---|
| + | ISO 9001 and 27001 certifications for quality and security process assurance |
| + | Yash Technologies parent provides financial stability and enterprise credibility |
| + | 240+ professionals with multi-continent delivery capability across 5 geographies |
| + | $15K minimum engagement is accessible for startup and small company budgets |
| + | 700+ completed projects provides delivery track record across multiple industries |
| - | AI/ML is one of multiple service lines at a broadly-positioned development company |
| - | Yash Technologies acquisition means company culture may differ from independent AI-first firms |
| - | Smaller team limits capacity for very large or complex enterprise ML programmes |
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 Codiant?
Codiant is the right choice for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost.
Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients. Minimum engagement starts at $15K. Works best with clients in Healthcare, Fintech, E-commerce, SaaS, Logistics.
Decision matrix: MobiDev vs Codiant
| 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 | Codiant |
| 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 | Both may offer discovery engagements |
Use case fit: MobiDev vs Codiant
| Use case | MobiDev fit | Codiant 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 |
| ML features integrated into mobile and web application product builds | Strong | Strong | Both equally |
| Predictive analytics for e-commerce product recommendation and personalisation | Limited | Strong | Codiant |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: MobiDev vs Codiant
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.
Codiant (3.6/5) is the better choice when startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost. If your situation matches those criteria, Codiant is a competitive option.
Related comparisons
MobiDev vs Codiant FAQ
Is MobiDev better than Codiant?
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. Codiant is better for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost.
How do MobiDev and Codiant differ in pricing?
MobiDev uses fixed project, dedicated team, t&m pricing with a minimum engagement of $30K. Codiant uses fixed project, dedicated team, t&m pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: MobiDev or Codiant?
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 Codiant?
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. Codiant's primary differentiator is: yash technologies subsidiary with iso 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients. They also differ in team size (400–600 vs 200–300), minimum engagement ($30K vs $15K), and primary industries served (Healthcare, Fintech vs Healthcare, Fintech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.