Tensorway vs Mobilunity: full comparison for 2026
Quick verdict
Tensorway (4.4/5) edges ahead of Mobilunity (3.7/5) overall. Tensorway is the better choice for product teams adding senior AI specialists without vendor lock-in. Mobilunity is the stronger option for budget-conscious teams hiring one dedicated developer. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Mobilunity: head-to-head summary
| Criterion | Tensorway | Mobilunity |
|---|---|---|
| Founded | 2019 | 2010 |
| HQ | Alicante, Spain | Kyiv, Ukraine |
| Team size | 50–249 | Not disclosed |
| Rating | 4.4 / 5 | 3.7 / 5 |
| Primary differentiator | Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories | Lowest published rate band among the companies reviewed |
| Pricing model | Monthly rate for full-time dedicated engineers; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card on request | Monthly dedicated developer rates; part-time consulting; $25–$49/hr (directory average) |
| Min. engagement | Not disclosed | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, TensorFlow, AWS |
| Industries served | Financial services, Software & SaaS, Healthcare & life sciences, Logistics, Manufacturing | Software & SaaS, Financial services, Retail & e-commerce |
Tensorway vs Mobilunity: overview
Tensorway
Tensorway, founded in 2019 and based in Alicante, Spain, supplies AI engineers who join a client's own team and work inside its Slack, Jira and version control under its coding standards. The firm has more than 20 years of software engineering practice behind its delivery methods. Its central promise concerns ownership: code, documentation and trained models stay in the client's repositories, and knowledge transfer to in-house staff is part of every engagement (per company website; independently unverifiable). Available roles include LLM engineers, RAG specialists, MLOps architects, computer-vision and NLP engineers, with teams usually starting as a squad of two to five. In one published case, a U.S. trading platform serving more than 100,000 investors reports 40% faster market-data processing and 35% lower operating costs (per company website; independently unverifiable).
Mobilunity
Mobilunity was founded in 2010 and is headquartered in Kyiv, Ukraine. It provides dedicated development teams and part-time consulting from a pool its Clutch profile describes as more than 200,000 Ukrainian specialists. Third-party directories list an average rate of $25 to $49 per hour, and Clutch reviewers describe typical projects of about $10,000 to $50,000. It has no separately advertised AI practice, so AI hires are recruited case by case.
Services and capabilities: Tensorway vs Mobilunity
| Capability | Tensorway | Mobilunity |
|---|---|---|
| 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: Tensorway vs Mobilunity
| Framework / platform | Tensorway | Mobilunity |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Databricks | N/A | N/A |
| MLflow | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs Mobilunity
| Criterion | Tensorway | Mobilunity |
|---|---|---|
| Minimum engagement | Not disclosed | Not published |
| Engagement models | Full-time dedicated engineers, Part-time fractional experts, Trial period | Full-time dedicated engineers, Part-time fractional experts, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs Mobilunity
| Dimension | Tensorway | Mobilunity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Software & SaaS, Healthcare & life sciences | Software & SaaS, Financial services, Retail & e-commerce |
| Best use cases | Adding RAG and evaluation expertise to a SaaS team shipping its first LLM feature, Bringing GPU inference costs under control for a production model | Hiring one ML developer on a tight budget, Adding a part-time data consultant |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Tensorway vs Mobilunity: pros and cons
| Tensorway | |
|---|---|
| + | Candidates pass a code review, a practical task in their specialty and a communication check run by senior AI engineers |
| + | Clients keep all code, documentation and trained models in their own repositories |
| + | First engineer typically starts in one to two weeks and a full squad in three to four (per company website; independently unverifiable) |
| + | Engineers bring GPU and inference cost control, fine-tuning and vector-database experience |
| + | Commitment is monthly and can be adjusted between sprints, with no-cost replacement for a poor fit |
| - | No public rate card, so budgeting starts with a sales call |
| - | Its bench is far smaller than EPAM's or Turing's, which limits how many engineers can start at once |
| - | Only AI and ML roles are offered, so general full-stack or QA staffing has to come from elsewhere |
| Mobilunity | |
|---|---|
| + | Lowest published rate band among the companies reviewed |
| + | Offers part-time consulting as well as full-time placements |
| + | Recruits to order for each role |
| - | No dedicated AI practice, so ML screening depends on the hire |
| - | Company headcount is not disclosed |
| - | Ukraine-only delivery may concern some procurement teams |
Who should choose Tensorway?
A typical fit: adding RAG and evaluation expertise to a SaaS team shipping its first LLM feature.
Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Software & SaaS, Healthcare & life sciences, Logistics, Manufacturing.
Who should choose Mobilunity?
A typical fit: hiring one ML developer on a tight budget.
Lowest published rate band among the companies reviewed. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Financial services, Retail & e-commerce.
Decision matrix: Tensorway vs Mobilunity
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Mobilunity |
| You want the supplier to own delivery as well as staffing | Neither offers managed delivery; you will lead the work |
| You need one expert part-time | Both; Tensorway rates higher overall |
| You want to test an engineer before signing for months | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs Mobilunity (Not published) |
| You need overlap with U.S. working hours | Neither is nearshore; agree overlap hours up front |
| You need specialist depth in a specific vertical | Tensorway |
Use case fit: Tensorway vs Mobilunity
| Use case | Tensorway fit | Mobilunity fit | Winner |
|---|---|---|---|
| Adding RAG and evaluation expertise to a SaaS team shipping its first LLM feature | Strong | Strong | Both equally |
| Bringing GPU inference costs under control for a production model | Strong | Limited | Tensorway |
| Hiring one ML developer on a tight budget | Limited | Strong | Mobilunity |
| Adding a part-time data consultant | Strong | Strong | Both equally |
Verdict: Tensorway vs Mobilunity
Tensorway (4.4/5) is the stronger overall choice for most AI Staff Augmentation projects. Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories.
Mobilunity (3.7/5) is worth a look if you need adding a part-time data consultant. If your situation matches that, Mobilunity is a competitive option.
Related comparisons
Tensorway vs Mobilunity FAQ
Is Tensorway better than Mobilunity?
Tensorway (4.4/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: candidates pass a code review, a practical task in their specialty and a communication check run by senior AI engineers. Mobilunity's strongest advantage: lowest published rate band among the companies reviewed.
How do Tensorway and Mobilunity differ in pricing?
Tensorway uses monthly rate for full-time dedicated engineers; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card on request pricing. Mobilunity uses monthly dedicated developer rates; part-time consulting; $25–$49/hr (directory average) pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Tensorway or Mobilunity?
Tensorway 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 Tensorway and Mobilunity?
Tensorway's primary differentiator is: senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories. Mobilunity's primary differentiator is: lowest published rate band among the companies reviewed. They also differ in team size (50–249 vs Not disclosed), minimum engagement (Not disclosed vs Not published), and primary industries served (Financial services, Software & SaaS vs Software & SaaS, Financial services).
Verify all details directly with each company before making a decision.