Tensorway
Editor's pick #1AI-only engineers who join your sprints and hand the knowledge back when they leave
What is Tensorway?
Tensorway was set up in Alicante, Spain in 2019 to do one thing: AI engineering. Its delivery practice draws on more than two decades of software engineering. Its staff-augmentation service supplies ML engineers, AI agent developers, data engineers and other specialists who work inside the client's own Slack, Jira and repositories. Most engagements start as a squad of two to five people and change shape as the work moves from research to production, with a part-time fractional expert as an option when a full seat is too much. The company's case studies include a multi-billion-euro Swedish private equity fund, where an AI-agent system reportedly cut deal-sourcing time by 80% and screens more than 5,000 opportunities in hours (per company website; independently unverifiable).
Tensorway works primarily with clients in Financial services, SaaS, Logistics, Healthcare, Retail & e-commerce, Manufacturing sectors. Its primary differentiator is: Senior AI engineers run the screening, and knowledge transfer to in-house staff is part of every engagement.
Tensorway tech stack and services
| Service area |
|---|
| ML Engineers |
| AI Agent Developers |
| Data Engineering |
| 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 |
|---|---|---|
| Dedicated engineers | Variable; depends on team size | Large programmes or team augmentation |
| Fractional experts | Variable; depends on team size | Large programmes or team augmentation |
| Trial sprint | Variable; depends on team size | Large programmes or team augmentation |
Tensorway pros and cons
| Advantages | Things to consider |
|---|---|
| +Candidates pass a code review, a practical task in their specialty and a communication check, all run by senior AI engineers | -No published rates, so budgeting needs a call |
| +A two-week trial sprint lets you judge real output before the monthly commitment starts | -The bench is far smaller than Quantiphi's, so a request for ten engineers at once would stretch it |
| +Fractional experts cover narrow needs, such as a few days a week of fine-tuning or GPU cost work | -Time-zone overlap is agreed per engagement; there is no fixed nearshore promise |
| +Code, documentation and trained models stay in your repositories, and handover to in-house staff is planned from the start | -Staffs AI and ML roles only, so general web or mobile developers have to come from elsewhere |
| +Shortlist in days and first engineer in one to two weeks (per company website; independently unverifiable) |
Tensorway vs alternatives
How Tensorway compares to the other top AI-Native Staff Augmentation companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Quantiphi | Enterprises that need several AI specialists at once... | A multi-thousand-person AI and data bench with a named staffing program run with AWS | 4.6 | Full comparison |
| deepsense.ai | Long MLOps or computer-vision engagements that need senior... | A decade of ML-only delivery, with multi-year augmentation clients on record | 4.4 | Full comparison |
| Fusemachines | Mid-market and enterprise buyers who want AI engineers... | Its own AI education program feeds the engineering bench | 4.3 | Full comparison |
| InData Labs | Buyers who want an R&D-minded data science team... | Research-led data science with a dedicated-team option | 4.2 | Full comparison |
| Sigmoid | CPG and retail data teams that need ML... | Requirement-by-requirement split between project work and monthly staff augmentation | 4.2 | Full comparison |
| Data Science UA | Companies building a Ukrainian AI team they will... | Recruiting from Ukraine's largest AI community, with managed teams as an option | 4.1 | Full comparison |
| Algoscale | Budget-conscious teams that need data engineers and ML... | Data consulting experience bundled into staff augmentation, plus a free trial | 4.1 | Full comparison |
| Kanerika | Enterprises modernizing data platforms that want onshore, nearshore... | Three delivery models under one contract, from Austin, Argentina and India | 4.0 | Full comparison |
| Vstorm | Teams whose agent prototype works in a demo... | Senior agent engineers who join an existing team to fix reliability and integration | 4.0 | Full comparison |
| Fuzzy Labs | UK data science teams, including public sector, that... | Open-source MLOps specialists with security-cleared engineers for government work | 4.0 | Full comparison |
| Tribe AI | Companies that want senior AI engineers and product... | A curated network of senior AI practitioners deployed inside the client's organization | 4.0 | Full comparison |
| Addepto | Industrial and automotive companies adding AI and data... | AI-heavy team with manufacturing domain experience, now backed by a larger group | 3.9 | Full comparison |
| Neurons Lab | Banks and insurers that need agentic AI engineers... | Financial-services AI with AWS GenAI competency and forward-deployed engineers | 3.9 | Full comparison |
| Merantix Momentum | German industrial companies that want an outside ML... | Operates as a company's ML function, backed by the Merantix AI ecosystem | 3.9 | Full comparison |
| Sciforce | Healthcare and scientific data projects that need NLP... | Medical and scientific data experience in a small AI-first firm | 3.9 | Full comparison |
| Pento | U.S. startups and mid-market firms that want nearshore... | AI-only engineering from Uruguay with full U.S. working-hour overlap | 3.9 | Full comparison |
| DataToBiz | Analytics teams that need BI and data science... | Fast placement of data and BI specialists with AI skills | 3.8 | Full comparison |
| Sigmoidal | U.S. companies that want a small ML team... | Data-centric ML specialists with a staff augmentation model for long engagements | 3.8 | Full comparison |
| Omdena | Startups and mission-driven organizations that want to see... | Challenge-based vetting where engineers solve your real problem before you hire | 3.8 | Full comparison |
| micro1 | Startups that want vetted remote AI developers quickly,... | AI-run vetting at volume plus employer-of-record payroll | 3.8 | Full comparison |
| Dataroots | Benelux enterprises that need ML and data engineers... | Benelux data platform specialists backed by Talan's wider consulting group | 3.8 | Full comparison |
| BroutonLab | Startups that need a PhD-level data scientist part-time... | Fractional deep learning experts at a published hourly rate | 3.7 | Full comparison |
| Experfy | Enterprises that want a private, pre-vetted pool of... | Private talent clouds with expert vetting and employer-of-record cover | 3.7 | Full comparison |
| Dataforest | Companies that need data engineers who can also... | Data engineering depth with AI agent work on top | 3.7 | Full comparison |
| BotsCrew | Companies adding chatbot or voice-agent engineers to a... | Nearly a decade of conversational AI work, now with U.S. ownership | 3.7 | Full comparison |
| Brainpool AI | Buyers who need a rare academic AI specialist... | Academic-heavy expert network across 23 countries | 3.6 | Full comparison |
| Mercor | AI labs and companies that need evaluation or... | AI interviewing that can screen very large candidate pools quickly | 3.6 | Full comparison |
| Data Pilot | Small budgets that need a data and ML... | Low-cost data and ML team that can also manage the developers it sources | 3.6 | Full comparison |
Tensorway FAQ
What is Tensorway?
AI-only engineers who join your sprints and hand the knowledge back when they leave
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 Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, OpenAI, AWS, Vector databases, Kubernetes. Primary industries served include Financial services, SaaS, Logistics, Healthcare, Retail & e-commerce, Manufacturing.
Is Tensorway right for enterprise?
Product teams that want senior AI engineers inside their own workflow and want the know-how to stay. 50–249 team size. Key consideration: No published rates, so budgeting needs a call.
What are the best Tensorway alternatives?
The best alternatives to Tensorway depend on your use case. Top options are:
- Quantiphi: a multi-thousand-person ai and data bench with a named staffing program run with aws
- deepsense.ai: a decade of ml-only delivery, with multi-year augmentation clients on record
- Fusemachines: its own ai education program feeds the engineering bench
Compare Tensorway with other AI-Native Staff Augmentation companies
Verify all details directly with Tensorway before making a decision.