MobiDev vs Turing: full comparison for 2026
Quick verdict
MobiDev (4.4/5) edges ahead of Turing (4.1/5) overall. MobiDev is the better choice for retail and fitness products, one AI engineer to start. Turing is the stronger option for companies wanting LLM-savvy contractors from a large pool. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Turing: head-to-head summary
| Criterion | MobiDev | Turing |
|---|---|---|
| Founded | 2009 | 2018 |
| HQ | Atlanta, USA (R&D in Ukraine and Poland) | Palo Alto, California, USA |
| Team size | 201–500 | 500+ staff; global contractor network |
| Rating | 4.4 / 5 | 4.1 / 5 |
| Primary differentiator | Long AI product record in retail, hospitality and fitness | Talent cloud tied to frontier-lab LLM training work |
| Pricing model | Monthly per engineer; dedicated team; rates on request | Hourly or monthly contracts; rates on request |
| Min. engagement | 1 full-time engineer | Not disclosed |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, OpenAI |
| Industries served | Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare | SaaS, Fintech, Healthcare, Retail |
MobiDev vs Turing: overview
MobiDev
MobiDev was founded in 2009 in Kharkiv, Ukraine, opened its first U.S. office in Atlanta in 2011, and now runs R&D centers in Ukraine and Łódź, Poland. Its AI team-augmentation offer starts at a single full-time engineer and quotes up to two weeks to allocate someone (per company website; independently unverifiable). The company says 89% of its engineers are middle or senior level and reports more than 65 AI and ML products built, mainly for retail, hospitality, fitness and health clients. Headcount figures range from 201–500 on aggregators to 400+ on a regional IT directory.
Turing
Turing was founded in 2018 by Jonathan Siddharth and Vijay Krishnan and lists its headquarters in Palo Alto, California. It began as a remote-developer matching platform and now has two businesses: a talent cloud that vets, matches and manages remote engineers, and AI services for frontier labs and enterprises. The company describes a network of millions of developers in more than 140 countries (per company website; independently unverifiable) and a Series E valuation of about $2.2 billion. Placed engineers are contractors sourced through the platform.
Services and capabilities: MobiDev vs Turing
| Capability | MobiDev | Turing |
|---|---|---|
| LLM / GenAI engineers | ✗ | ✓ |
| MLOps & deployment | ✗ | ✗ |
| Computer vision | ✓ | ✗ |
| Data engineering | ✗ | ✗ |
| AI agent development | ✓ | ✓ |
| Fractional / part-time experts | ✗ | ✓ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
Tech stack comparison: MobiDev vs Turing
| Framework / platform | MobiDev | Turing |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | N/A | ✓ |
| OpenAI | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: MobiDev vs Turing
| Criterion | MobiDev | Turing |
|---|---|---|
| Minimum engagement | 1 full-time engineer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Part-time fractional experts, Managed delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: MobiDev vs Turing
| Dimension | MobiDev | Turing |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail and e-commerce, Hospitality, Fitness and wellness | SaaS, Fintech, Healthcare |
| Best use cases | Adding a pose-estimation engineer to a fitness app, Placing an AI engineer to build product recommendations for a retailer | Adding an LLM evaluation engineer to an AI product team, Hiring remote ML contractors across several time zones |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
MobiDev vs Turing: pros and cons
| MobiDev | |
|---|---|
| + | You can start with a single engineer instead of a whole squad |
| + | Senior-weighted bench, with a stated six-year average experience among lead AI engineers |
| + | Strong record in computer vision for fitness and sports products |
| + | U.S. and UK incorporation makes contracting straightforward |
| - | Much of the delivery team is in Ukraine, so some buyers will want to discuss continuity planning |
| - | Industry focus is narrower than the large generalists |
| - | No published rates |
| Turing | |
|---|---|
| + | Engineers who have worked on LLM training and evaluation projects |
| + | Huge candidate pool across time zones |
| + | Automated vetting shortens the first shortlist |
| - | Contractor model gives less continuity than employed agency engineers |
| - | Company focus has shifted toward AI lab services, which may change the staffing product |
| - | Network-size claims are self-reported |
Who should choose MobiDev?
A typical fit: adding a pose-estimation engineer to a fitness app.
Long AI product record in retail, hospitality and fitness. Minimum engagement starts at 1 full-time engineer. Works best with clients in Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare.
Who should choose Turing?
A typical fit: adding an LLM evaluation engineer to an AI product team.
Talent cloud tied to frontier-lab LLM training work. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, Healthcare, Retail.
Decision matrix: MobiDev vs Turing
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | MobiDev |
| Your budget is at the lower end | Compare: MobiDev (1 full-time engineer) vs Turing (Not disclosed) |
| 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 Turing
| Use case | MobiDev fit | Turing fit | Winner |
|---|---|---|---|
| Adding a pose-estimation engineer to a fitness app | Strong | Strong | Both equally |
| Placing an AI engineer to build product recommendations for a retailer | Strong | Limited | MobiDev |
| Adding an LLM evaluation engineer to an AI product team | Strong | Strong | Both equally |
| Hiring remote ML contractors across several time zones | Limited | Strong | Turing |
Verdict: MobiDev vs Turing
MobiDev (4.4/5) is the stronger overall choice for most AI Staffing projects. Long AI product record in retail, hospitality and fitness.
Turing (4.1/5) is worth a look if you need hiring remote ML contractors across several time zones. If your situation matches that, Turing is a competitive option.
Related comparisons
MobiDev vs Turing FAQ
Is MobiDev better than Turing?
MobiDev (4.4/5) scores higher overall, but "better" depends on your use case. MobiDev's strongest advantage: you can start with a single engineer instead of a whole squad. Turing's strongest advantage: engineers who have worked on LLM training and evaluation projects.
How do MobiDev and Turing differ in pricing?
MobiDev uses monthly per engineer; dedicated team; rates on request pricing with a minimum engagement of 1 full-time engineer. Turing uses hourly or monthly contracts; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: MobiDev or Turing?
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 agency before shortlisting.
What are the main differences between MobiDev and Turing?
MobiDev's primary differentiator is: long AI product record in retail, hospitality and fitness. Turing's primary differentiator is: talent cloud tied to frontier-lab LLM training work. They also differ in team size (201–500 vs 500+ staff; global contractor network), minimum engagement (1 full-time engineer vs Not disclosed), and primary industries served (Retail and e-commerce, Hospitality vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.