Tensorway
Editor's pick #1AI and ML engineers screened by senior engineers and placed inside your sprints within one to two weeks
What is 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).
Tensorway works primarily with clients in Healthcare, Legal services, SaaS, Fintech, E-commerce and retail, Manufacturing, Logistics sectors. Its primary differentiator is: Engineer-led screening with a free replacement if a hire doesn't fit.
Tensorway tech stack and services
| Service area |
|---|
| ML Engineers |
| LLM Engineers |
| AI Agent Developers |
| MLOps |
| Fractional Experts |
| Dedicated Teams |
| Trial Period |
Tensorway pricing
Short answer: Tensorway uses a 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 approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Full-time dedicated engineers | Variable; depends on team size | Large programmes or team augmentation |
| Part-time fractional experts | Variable; depends on team size | Large programmes or team augmentation |
| Trial period | Variable; depends on team size | Large programmes or team augmentation |
Tensorway pros and cons
| Advantages | Things to consider |
|---|---|
| +Candidates are screened by working AI engineers through a code review and a practical task, so your interviews can focus on team fit | -No public rate card, so budgeting starts with a sales call |
| +A shortlist of two or three people usually arrives within a week of the discovery call | -The bench is far smaller than the large talent networks, which matters if you need ten or more engineers at once |
| +A poor fit is replaced at no cost, and the monthly commitment can be adjusted between sprints | -AI and ML roles only; general full-stack or QA staffing is out of scope |
| +All code, documentation and trained models stay in your repositories, which keeps vendor lock-in off the table | -Time-zone overlap is arranged per engagement instead of guaranteed by a fixed nearshore location |
| +Contracts, local employment paperwork and benefits admin are handled by Tensorway rather than your HR team |
Tensorway vs alternatives
How Tensorway compares to the other top AI Staffing agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| deepsense.ai | Research-heavy ML problems, senior data scientists. | Research-grade data scientists available as embedded team members | 4.6 | Full comparison |
| BairesDev | U.S. companies needing several engineers in American time... | Largest employed LatAm engineering bench on this list | 4.5 | Full comparison |
| Azumo | Startups adding GenAI engineers on U.S. hours. | Nearshore staffing with a hiring focus on GenAI and agent roles | 4.5 | Full comparison |
| InData Labs | Data-science-heavy teams, AWS-based ML work. | Data scientists and data engineers from one AI-only company | 4.4 | Full comparison |
| MobiDev | Retail and fitness products, one AI engineer to... | Long AI product record in retail, hospitality and fitness | 4.4 | Full comparison |
| Uvik Software | Python-heavy AI products, quick shortlist. | Python-only bench with published entry-level rates | 4.4 | Full comparison |
| N-iX | Enterprises scaling data and ML teams in Europe. | Formal staff-augmentation model backed by a 2,400-person bench | 4.3 | Full comparison |
| BEON.tech | U.S. scale-ups hiring long-term LatAm AI engineers. | Senior-only LatAm placements with AWS Bedrock experience | 4.3 | Full comparison |
| Xenoss | Ad-tech and high-volume data teams. | Data engineers with ad-tech throughput experience | 4.3 | Full comparison |
| Svitla Systems | Companies wanting both Mexican and Polish delivery options. | Two decades of team augmentation across LatAm and Europe | 4.3 | Full comparison |
| Mobilunity | Budget-conscious teams hiring a dedicated AI developer. | Recruits each hire to your spec at one of the lower rate bands here | 4.2 | Full comparison |
| Vention | Startups and scale-ups wanting CVs within two days. | Fast CV turnaround with a free delivery manager | 4.2 | Full comparison |
| Neoteric | Product teams adding GenAI to an existing app. | Product-minded GenAI engineers with a low published minimum | 4.2 | Full comparison |
| STX Next | Python product teams adding ML capacity. | Large Python bench with documented ML staff-augmentation work | 4.2 | Full comparison |
| 10Clouds | Banks, insurers and fintechs building AI features. | Financial-services AI focus with Claude partner status | 4.1 | Full comparison |
| Howdy.com | Teams that want transparent nearshore pricing. | Published 15% fee on top of the engineer's pay | 4.1 | Full comparison |
| Toptal | Short engagements with a senior freelance specialist. | Fast access to screened freelancers with a no-risk trial | 4.1 | Full comparison |
| Turing | Companies wanting LLM-savvy contractors from a large pool. | Talent cloud tied to frontier-lab LLM training work | 4.1 | Full comparison |
| Simform | Azure-based companies wanting a lower-cost dedicated AI team. | Azure-centered AI engineering at India delivery rates | 4.1 | Full comparison |
| Innowise | Enterprises needing many seats filled within days. | Claimed three-to-five-day placement from an employed bench | 4.1 | Full comparison |
| X-Team | Media and gaming teams adding long-term remote developers. | Developer-community model aimed at long placements | 4.0 | Full comparison |
| Netguru | Consumer brands adding AI to digital products. | Design and product talent alongside AI engineers | 4.0 | Full comparison |
| Intellias | Automotive and mobility companies, embedded AI. | Physical-AI and automotive engineering depth | 4.0 | Full comparison |
| ScienceSoft | Regulated industries hiring experienced data scientists. | Senior data scientists with a published hiring timeline | 4.0 | Full comparison |
| Andela | Distributed teams hiring vetted contractors worldwide. | Assessment tooling strengthened by the 2026 Woven acquisition | 4.0 | Full comparison |
| DataArt | Financial and travel firms needing long-lived dedicated teams. | Dedicated development centers with nearly 30 years of history | 4.0 | Full comparison |
| KORE1 | U.S. companies that want to hire AI engineers... | Direct-hire and contract-to-hire paths for AI roles | 3.9 | Full comparison |
| Revelo | Companies hiring LatAm developers without a local entity. | Payroll and compliance handled for LatAm hires | 3.9 | Full comparison |
| EPAM Systems | Global enterprises with large, compliance-heavy AI programs. | Scale, compliance maturity and vendor certifications | 3.9 | Full comparison |
| Globant | Enterprises open to outcome-priced AI delivery. | Token-subscription pricing in place of seat-based staffing | 3.9 | Full comparison |
| Itransition | Microsoft-stack enterprises adding AI to Dynamics or Power... | AI work tied to the Microsoft business-application stack | 3.9 | Full comparison |
| LeewayHertz | Companies already using The Hackett Group or ZBrain. | GenAI developers tied to the ZBrain platform | 3.8 | Full comparison |
Tensorway FAQ
What is Tensorway?
AI and ML engineers screened by senior engineers and placed inside your sprints within one to two weeks
How much does Tensorway charge?
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. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Tensorway use?
Tensorway works with PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI, MLflow, Kubernetes, Pinecone. Primary industries served include Healthcare, Legal services, SaaS, Fintech, E-commerce and retail, Manufacturing, Logistics.
Is Tensorway right for enterprise?
Product teams adding AI engineers fast, two-week trial. 50–249 team size. Key consideration: No public rate card, so budgeting starts with a sales call.
What are the best Tensorway alternatives?
The best alternatives to Tensorway depend on your use case. Top options are:
- deepsense.ai: research-grade data scientists available as embedded team members
- BairesDev: largest employed latam engineering bench on this list
- Azumo: nearshore staffing with a hiring focus on genai and agent roles
Compare Tensorway with other AI Staffing agencies
Verify all details directly with Tensorway before making a decision.