Tensorway vs Netguru: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Netguru (4.0/5) overall. Tensorway is the better choice for product teams adding AI engineers fast, two-week trial. Netguru is the stronger option for consumer brands adding AI to digital products. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Netguru: head-to-head summary
| Criterion | Tensorway | Netguru |
|---|---|---|
| Founded | 2019 | 2008 |
| HQ | Alicante, Spain | Poznań, Poland |
| Team size | 50–249 | 500–999 |
| Rating | 4.8 / 5 | 4.0 / 5 |
| Primary differentiator | Engineer-led screening with a free replacement if a hire doesn't fit | Design and product talent alongside AI engineers |
| 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 | Time and materials; team augmentation; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | PyTorch, TensorFlow, LangChain | Python, OpenAI, LangChain |
| Industries served | Healthcare, Legal services, SaaS, Fintech, E-commerce and retail, Manufacturing, Logistics | Retail and e-commerce, Fintech, Proptech, Mobility |
Tensorway vs Netguru: 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).
Netguru
Netguru was founded in 2008 and is based in Poznań, Poland, with 500–999 employees according to several directories. It is a certified B Corporation whose clients include IKEA, Volkswagen, OLX and Vinted. Staff augmentation and delivery centers are listed among its engagement models, and AI development is part of its service line next to mobile, web and design work.
Services and capabilities: Tensorway vs Netguru
| Capability | Tensorway | Netguru |
|---|---|---|
| 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 Netguru
| Framework / platform | Tensorway | Netguru |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | ✓ |
| 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 Netguru
| Criterion | Tensorway | Netguru |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Full-time dedicated engineers, Part-time fractional experts, Trial period | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs Netguru
| Dimension | Tensorway | Netguru |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Legal services, SaaS | Retail and e-commerce, Fintech, Proptech |
| 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 | Adding an LLM feature team to a consumer app, Augmenting a retailer's digital team with GenAI and design skills |
| Typical project type | Full-time dedicated engineers | Dedicated team |
Tensorway vs Netguru: 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 |
| Netguru | |
|---|---|
| + | Well-known enterprise and consumer client list |
| + | Product designers and engineers can join together |
| + | B Corp certification may matter to ESG-focused buyers |
| - | AI is a newer service line within a product agency |
| - | Agency rates sit at the higher end for Poland |
| - | Less suited to single-seat ML hires |
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 Netguru?
A typical fit: adding an LLM feature team to a consumer app.
Design and product talent alongside AI engineers. Minimum engagement is not publicly disclosed. Works best with clients in Retail and e-commerce, Fintech, Proptech, Mobility.
Decision matrix: Tensorway vs Netguru
| 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 Netguru (Not disclosed) |
| 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 Netguru
| Use case | Tensorway fit | Netguru fit | Winner |
|---|---|---|---|
| Adding an LLM engineer and a RAG specialist to an existing SaaS product team | Strong | Strong | Both equally |
| Trialing a single ML engineer for two weeks before committing to a monthly contract | Strong | Limited | Tensorway |
| Adding an LLM feature team to a consumer app | Strong | Strong | Both equally |
| Augmenting a retailer's digital team with GenAI and design skills | Limited | Strong | Netguru |
Verdict: Tensorway vs Netguru
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.
Netguru (4.0/5) is worth a look if you need augmenting a retailer's digital team with GenAI and design skills. If your situation matches that, Netguru is a competitive option.
Related comparisons
Tensorway vs Netguru FAQ
Is Tensorway better than Netguru?
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. Netguru's strongest advantage: well-known enterprise and consumer client list.
How do Tensorway and Netguru 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. Netguru uses time and materials; team augmentation; 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: Tensorway or Netguru?
Netguru 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 Netguru?
Tensorway's primary differentiator is: engineer-led screening with a free replacement if a hire doesn't fit. Netguru's primary differentiator is: design and product talent alongside AI engineers. They also differ in team size (50–249 vs 500–999), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Legal services vs Retail and e-commerce, Fintech).
Verify all details directly with each agency before making a decision.