Tensorway vs Howdy.com: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Howdy.com (4.1/5) overall. Tensorway is the better choice for product teams adding AI engineers fast, two-week trial. Howdy.com is the stronger option for teams that want transparent nearshore pricing. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Howdy.com: head-to-head summary
| Criterion | Tensorway | Howdy.com |
|---|---|---|
| Founded | 2019 | 2018 |
| HQ | Alicante, Spain | Austin, Texas, USA |
| Team size | 50–249 | 100–249 |
| Rating | 4.8 / 5 | 4.1 / 5 |
| Primary differentiator | Engineer-led screening with a free replacement if a hire doesn't fit | Published 15% fee on top of the engineer's pay |
| 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 | Engineer salary plus a flat 15% service fee (published) |
| Min. engagement | Not disclosed | 1 engineer |
| Primary tech stack | PyTorch, TensorFlow, LangChain | Python, AWS, Databricks |
| Industries served | Healthcare, Legal services, SaaS, Fintech, E-commerce and retail, Manufacturing, Logistics | SaaS, Fintech, Healthcare, E-commerce |
Tensorway vs Howdy.com: 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).
Howdy.com
Howdy.com was founded in Austin, Texas, in 2018 by Jacqueline Samira, with Frank Licea later joining as co-founder and CTO. Unlike a pure marketplace, it recruits, employs and supports its engineers, and it runs in-country hubs it calls Howdy Houses in Latin American cities. In August 2023 it acquired the Brazilian talent marketplace GeekHunter, citing rising demand for AI and ML skills. A 2026 industry ranking lists its fee as a flat 15% of the billed rate.
Services and capabilities: Tensorway vs Howdy.com
| Capability | Tensorway | Howdy.com |
|---|---|---|
| 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 Howdy.com
| Framework / platform | Tensorway | Howdy.com |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Databricks | N/A | ✓ |
| MLflow | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs Howdy.com
| Criterion | Tensorway | Howdy.com |
|---|---|---|
| Minimum engagement | Not disclosed | 1 engineer |
| Engagement models | Full-time dedicated engineers, Part-time fractional experts, Trial period | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Tensorway vs Howdy.com
| Dimension | Tensorway | Howdy.com |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Legal services, SaaS | SaaS, Fintech, Healthcare |
| 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 a full-time LatAm data engineer with clear cost visibility, Building a two-to-four person nearshore team for a U.S. startup |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Tensorway vs Howdy.com: 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 |
| Howdy.com | |
|---|---|
| + | Fee structure is published, so you can see what the engineer actually earns |
| + | Engineers are employed and supported locally, which helps retention |
| + | GeekHunter acquisition widened its Brazilian candidate pool |
| + | U.S. time zones |
| - | AI depth depends on who is available; it is a general engineering staffing company |
| - | Disclosure: acquired GeekHunter in 2023, so part of its candidate supply comes through a marketplace subsidiary |
| - | Technical screening is lighter than at AI-only companies |
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 Howdy.com?
A typical fit: hiring a full-time LatAm data engineer with clear cost visibility.
Published 15% fee on top of the engineer's pay. Minimum engagement starts at 1 engineer. Works best with clients in SaaS, Fintech, Healthcare, E-commerce.
Decision matrix: Tensorway vs Howdy.com
| 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 Howdy.com (1 engineer) |
| 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 Howdy.com
| Use case | Tensorway fit | Howdy.com 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 |
| Hiring a full-time LatAm data engineer with clear cost visibility | Limited | Strong | Howdy.com |
| Building a two-to-four person nearshore team for a U.S. startup | Limited | Strong | Howdy.com |
Verdict: Tensorway vs Howdy.com
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.
Howdy.com (4.1/5) is worth a look if you need building a two-to-four person nearshore team for a U.S. startup. If your situation matches that, Howdy.com is a competitive option.
Related comparisons
Tensorway vs Howdy.com FAQ
Is Tensorway better than Howdy.com?
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. Howdy.com's strongest advantage: fee structure is published, so you can see what the engineer actually earns.
How do Tensorway and Howdy.com 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. Howdy.com uses engineer salary plus a flat 15% service fee (published) pricing with a minimum engagement of 1 engineer. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Tensorway or Howdy.com?
Howdy.com 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 Howdy.com?
Tensorway's primary differentiator is: engineer-led screening with a free replacement if a hire doesn't fit. Howdy.com's primary differentiator is: published 15% fee on top of the engineer's pay. They also differ in team size (50–249 vs 100–249), minimum engagement (Not disclosed vs 1 engineer), and primary industries served (Healthcare, Legal services vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.