Codiste vs MobiDev: full comparison for 2026
Last updated: July 2026
Quick verdict
Codiste (4.3/5) edges ahead of MobiDev (4.1/5) overall. Codiste is the better choice for startups and mid-market companies needing full ML lifecycle delivery from data engineering through to a deployed production system. MobiDev is the stronger option for companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D. The right choice depends on your project size, budget, and required tech stack.
Codiste vs MobiDev: head-to-head summary
| Criterion | Codiste | MobiDev |
|---|---|---|
| Founded | 2016 | 2009 |
| HQ | Mumbai, India / New York, NY, USA | Atlanta, GA, USA / Sheffield, UK |
| Team size | 200–500 | 400–600 |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Best for | Startups and mid-market companies needing full ML lifecycle delivery from data engineering through to a deployed production system | Companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team, T&M |
| Min. engagement | $25K | $30K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, PyTorch, TensorFlow |
| Industries served | SaaS, E-commerce, Healthcare, Fintech, Retail | Healthcare, Fintech, Retail, Logistics, E-commerce |
Codiste vs MobiDev: overview
Codiste
Codiste is an AI-first software engineering company with offices in India and the United States, specialising in custom machine learning development, generative AI systems, and MLOps infrastructure. The firm covers the full ML lifecycle including data engineering, model development, integration, and post-deployment monitoring. Codiste's engineering practice draws on Python, TensorFlow, PyTorch, and LangChain, with delivery through dedicated teams and fixed-price project structures. The company positions itself as a delivery-focused ML firm with an emphasis on taking models beyond prototype into production operation (per company website; independently unverifiable).
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.
Services and capabilities: Codiste vs MobiDev
| Capability | Codiste | MobiDev |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✗ | ✓ |
| NLP & text analytics | ✗ | ✓ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| ML consulting & strategy | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Codiste vs MobiDev
| Framework / platform | Codiste | MobiDev |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| MLflow | ✓ | N/A |
| Hugging Face | N/A | ✓ |
| LangChain | ✓ | ✓ |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Codiste vs MobiDev
| Criterion | Codiste | MobiDev |
|---|---|---|
| Minimum engagement | $25K | $30K |
| 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: Codiste vs MobiDev
| Dimension | Codiste | MobiDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, E-commerce, Healthcare | Healthcare, Fintech, Retail |
| Best use cases | MLOps pipeline setup and infrastructure for data science teams going to production, Generative AI chatbots and content automation tools for SaaS products | ML features integrated into mobile and web product builds for healthcare and fintech, Deep learning models for medical imaging analysis and diagnostics |
| Typical project type | Fixed project | Fixed project |
Codiste vs MobiDev: pros and cons
| Codiste | |
|---|---|
| + | AI-first positioning means ML delivery is the core business, not a side practice |
| + | Strong MLOps coverage for production deployment, monitoring, and model management |
| + | Generative AI capability alongside classical ML development in a single team |
| + | Flexible engagement: fixed project or dedicated team models available |
| + | $25K minimum accessible for mid-market project initiations |
| - | Founded relatively recently; shorter independently verifiable track record than older firms |
| - | No widely cited independent review platform rating to validate delivery quality claims |
| - | India-primary delivery requires proactive timezone coordination for US and EU clients |
| 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 |
Who should choose Codiste?
Codiste is the right choice for startups and mid-market companies needing full ML lifecycle delivery from data engineering through to a deployed production system.
AI-first engineering firm with explicit MLOps focus and generative AI capability alongside classical ML model development. Minimum engagement starts at $25K. Works best with clients in SaaS, E-commerce, Healthcare, Fintech, Retail.
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.
Decision matrix: Codiste vs MobiDev
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Codiste |
| You need a large dedicated team for an ongoing programme | Codiste |
| Your budget is at the lower end | Codiste |
| You need specialist depth in a specific vertical | Codiste |
| 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: Codiste vs MobiDev
| Use case | Codiste fit | MobiDev fit | Winner |
|---|---|---|---|
| MLOps pipeline setup and infrastructure for data science teams going to production | Strong | Limited | Codiste |
| Generative AI chatbots and content automation tools for SaaS products | Strong | Limited | Codiste |
| 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 | Limited | Strong | MobiDev |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Codiste vs MobiDev
Codiste (4.3/5) is the stronger overall choice for most Machine Learning Development projects. AI-first engineering firm with explicit MLOps focus and generative AI capability alongside classical ML model development. It is best for startups and mid-market companies needing full ML lifecycle delivery from data engineering through to a deployed production system.
MobiDev (4.1/5) is the better choice when companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D. If your situation matches those criteria, MobiDev is a competitive option.
Related comparisons
Codiste vs MobiDev FAQ
Is Codiste better than MobiDev?
Codiste (4.3/5) scores higher overall, but "better" depends on your use case. Codiste is better for startups and mid-market companies needing full ML lifecycle delivery from data engineering through to a deployed production system. 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.
How do Codiste and MobiDev differ in pricing?
Codiste uses fixed project, dedicated team pricing with a minimum engagement of $25K. MobiDev uses fixed project, dedicated team, t&m pricing with a minimum engagement of $30K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Codiste 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 Codiste and MobiDev?
Codiste's primary differentiator is: ai-first engineering firm with explicit mlops focus and generative ai capability alongside classical ml model development. 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. They also differ in team size (200–500 vs 400–600), minimum engagement ($25K vs $30K), and primary industries served (SaaS, E-commerce vs Healthcare, Fintech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.