Tensorway vs Mobilunity: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Mobilunity (4.2/5) overall. Tensorway is the better choice for product teams adding AI engineers fast, two-week trial. Mobilunity is the stronger option for budget-conscious teams hiring a dedicated AI 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 | ~150 on client teams |
| Rating | 4.8 / 5 | 4.2 / 5 |
| Primary differentiator | Engineer-led screening with a free replacement if a hire doesn't fit | Recruits each hire to your spec at one of the lower rate bands here |
| 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 per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band) |
| Min. engagement | Not disclosed | 1 dedicated developer |
| Primary tech stack | PyTorch, TensorFlow, LangChain | Python, TensorFlow, PyTorch |
| Industries served | Healthcare, Legal services, SaaS, Fintech, E-commerce and retail, Manufacturing, Logistics | SaaS, Fintech, E-commerce, Healthcare |
Tensorway vs Mobilunity: overview
Tensorway
Tensorway is an AI engineering company founded in 2019 and based in Alicante, Spain, with more than 20 years of software engineering experience in its leadership and delivery processes. Its staff-augmentation service places ML engineers, LLM engineers, AI agent developers, MLOps engineers, computer-vision and NLP specialists, data engineers and RAG specialists directly into a client's own team, where they work in the client's Slack, Jira and repositories. Candidates are screened by senior AI engineers through a code review, a practical task in their specialization and a communication check, so the client receives a shortlist of two or three people that is already technically vetted. Tensorway handles contracts and admin; the first engineer typically starts within one to two weeks and a full squad within three to four weeks (per company website; independently unverifiable). One published case study describes a U.S. law practice, Liner Legal, cutting medical-record processing from about a week to 5–15 minutes (per company website; independently unverifiable).
Mobilunity
Mobilunity was founded in 2010 in Kyiv, Ukraine, and builds dedicated development teams by recruiting engineers specifically for each client. A company-affiliated post describes about 150 people on full-time client teams, plus a pool of part-time consultants for short skill gaps. It recruits AI roles on request; one recent DOU posting sought an LLM and generative-AI data scientist on behalf of a U.S. client. Third-party directories list average rates of $25–$49 per hour.
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 | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | 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 | 1 dedicated developer |
| 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 | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Tensorway vs Mobilunity
| Dimension | Tensorway | Mobilunity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Legal services, SaaS | SaaS, Fintech, E-commerce |
| Best use cases | Adding an LLM engineer and a RAG specialist to an existing SaaS product team, Trialing a single ML engineer for two weeks before committing to a monthly contract | Hiring one dedicated ML engineer on a tight budget, Bringing in a part-time LLM consultant for a short evaluation |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Tensorway vs Mobilunity: pros and cons
| Tensorway | |
|---|---|
| + | Candidates are screened by working AI engineers through a code review and a practical task, so your interviews can focus on team fit |
| + | A shortlist of two or three people usually arrives within a week of the discovery call |
| + | A poor fit is replaced at no cost, and the monthly commitment can be adjusted between sprints |
| + | All code, documentation and trained models stay in your repositories, which keeps vendor lock-in off the table |
| + | Contracts, local employment paperwork and benefits admin are handled by Tensorway rather than your HR team |
| - | No public rate card, so budgeting starts with a sales call |
| - | The bench is far smaller than the large talent networks, which matters if you need ten or more engineers at once |
| - | AI and ML roles only; general full-stack or QA staffing is out of scope |
| - | Time-zone overlap is arranged per engagement instead of guaranteed by a fixed nearshore location |
| Mobilunity | |
|---|---|
| + | Hires to your exact profile instead of matching from a fixed bench |
| + | One of the lower published rate bands on this list |
| + | Part-time consultants are available for short skill gaps |
| + | Long experience with the admin side of employing Ukrainian engineers for foreign clients |
| - | Recruiting from scratch takes longer than placing an existing bench engineer |
| - | Technical screening depth depends on your own interview process |
| - | No dedicated AI practice; AI roles are recruited case by case |
Who should choose Tensorway?
A typical fit: adding an LLM engineer and a RAG specialist to an existing SaaS product team.
Engineer-led screening with a free replacement if a hire doesn't fit. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Legal services, SaaS, Fintech, E-commerce and retail, Manufacturing, Logistics.
Who should choose Mobilunity?
A typical fit: hiring one dedicated ML engineer on a tight budget.
Recruits each hire to your spec at one of the lower rate bands here. Minimum engagement starts at 1 dedicated developer. Works best with clients in SaaS, Fintech, E-commerce, Healthcare.
Decision matrix: Tensorway vs Mobilunity
| 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 | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs Mobilunity (1 dedicated developer) |
| You need specialist depth in a specific vertical | Tensorway |
| 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: Tensorway vs Mobilunity
| Use case | Tensorway fit | Mobilunity fit | Winner |
|---|---|---|---|
| Adding an LLM engineer and a RAG specialist to an existing SaaS product team | Strong | Limited | Tensorway |
| Trialing a single ML engineer for two weeks before committing to a monthly contract | Strong | Limited | Tensorway |
| Hiring one dedicated ML engineer on a tight budget | Limited | Strong | Mobilunity |
| Bringing in a part-time LLM consultant for a short evaluation | Strong | Strong | Both equally |
Verdict: Tensorway vs Mobilunity
Tensorway (4.8/5) is the stronger overall choice for most AI Staffing projects. Engineer-led screening with a free replacement if a hire doesn't fit.
Mobilunity (4.2/5) is worth a look if you need bringing in a part-time LLM consultant for a short evaluation. If your situation matches that, Mobilunity is a competitive option.
Related comparisons
Tensorway vs Mobilunity FAQ
Is Tensorway better than Mobilunity?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: candidates are screened by working AI engineers through a code review and a practical task, so your interviews can focus on team fit. Mobilunity's strongest advantage: hires to your exact profile instead of matching from a fixed bench.
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 per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band) pricing with a minimum engagement of 1 dedicated developer. 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 agency before shortlisting.
What are the main differences between Tensorway and Mobilunity?
Tensorway's primary differentiator is: engineer-led screening with a free replacement if a hire doesn't fit. Mobilunity's primary differentiator is: recruits each hire to your spec at one of the lower rate bands here. They also differ in team size (50–249 vs ~150 on client teams), minimum engagement (Not disclosed vs 1 dedicated developer), and primary industries served (Healthcare, Legal services vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.