Tensorway vs Howdy.com: full comparison for 2026
Quick verdict
Tensorway (4.4/5) edges ahead of Howdy.com (3.9/5) overall. Tensorway is the better choice for product teams adding senior AI specialists without vendor lock-in. Howdy.com is the stronger option for U.S. startups hiring full-time Latin American AI engineers. 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 | Not disclosed |
| Rating | 4.4 / 5 | 3.9 / 5 |
| Primary differentiator | Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories | Full-time, single-client placements with employment handled by Howdy |
| 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 all-in fee per engineer quoted per engagement; rates on request |
| Min. engagement | Not disclosed | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, OpenAI, LangChain |
| Industries served | Financial services, Software & SaaS, Healthcare & life sciences, Logistics, Manufacturing | Software & SaaS, Financial services, Healthcare & life sciences |
Tensorway vs Howdy.com: overview
Tensorway
Tensorway, founded in 2019 and based in Alicante, Spain, supplies AI engineers who join a client's own team and work inside its Slack, Jira and version control under its coding standards. The firm has more than 20 years of software engineering practice behind its delivery methods. Its central promise concerns ownership: code, documentation and trained models stay in the client's repositories, and knowledge transfer to in-house staff is part of every engagement (per company website; independently unverifiable). Available roles include LLM engineers, RAG specialists, MLOps architects, computer-vision and NLP engineers, with teams usually starting as a squad of two to five. In one published case, a U.S. trading platform serving more than 100,000 investors reports 40% faster market-data processing and 35% lower operating costs (per company website; independently unverifiable).
Howdy.com
Howdy.com was founded in Austin, Texas, in 2018 to connect Latin American engineers with U.S. companies, and it acquired the Brazilian talent marketplace GeekHunter to expand its pool. Engineers work full time for one client while Howdy handles employment, benefits and equipment. The company now markets itself around AI-capable engineers, and pricing is quoted per engagement rather than published.
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 | ✓ | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs Howdy.com
| Criterion | Tensorway | Howdy.com |
|---|---|---|
| Minimum engagement | Not disclosed | Not published |
| Engagement models | Full-time dedicated engineers, Part-time fractional experts, Trial period | Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs Howdy.com
| Dimension | Tensorway | Howdy.com |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Software & SaaS, Healthcare & life sciences | Software & SaaS, Financial services, Healthcare & life sciences |
| Best use cases | Adding RAG and evaluation expertise to a SaaS team shipping its first LLM feature, Bringing GPU inference costs under control for a production model | Hiring one full-time LLM application developer for a startup, Building a small Latin American team on U.S. hours |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Tensorway vs Howdy.com: pros and cons
| Tensorway | |
|---|---|
| + | Candidates pass a code review, a practical task in their specialty and a communication check run by senior AI engineers |
| + | Clients keep all code, documentation and trained models in their own repositories |
| + | First engineer typically starts in one to two weeks and a full squad in three to four (per company website; independently unverifiable) |
| + | Engineers bring GPU and inference cost control, fine-tuning and vector-database experience |
| + | Commitment is monthly and can be adjusted between sprints, with no-cost replacement for a poor fit |
| - | No public rate card, so budgeting starts with a sales call |
| - | Its bench is far smaller than EPAM's or Turing's, which limits how many engineers can start at once |
| - | Only AI and ML roles are offered, so general full-stack or QA staffing has to come from elsewhere |
| Howdy.com | |
|---|---|
| + | Engineers work for one client full time |
| + | Howdy covers benefits, equipment and local employment |
| + | GeekHunter acquisition widened access to Brazilian talent |
| - | Company headcount is not disclosed |
| - | No published rates despite transparent-pricing marketing |
| - | AI focus is a recent repositioning |
Who should choose Tensorway?
A typical fit: adding RAG and evaluation expertise to a SaaS team shipping its first LLM feature.
Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Software & SaaS, Healthcare & life sciences, Logistics, Manufacturing.
Who should choose Howdy.com?
A typical fit: hiring one full-time LLM application developer for a startup.
Full-time, single-client placements with employment handled by Howdy. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Financial services, Healthcare & life sciences.
Decision matrix: Tensorway vs Howdy.com
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Howdy.com |
| You want the supplier to own delivery as well as staffing | Neither offers managed delivery; you will lead the work |
| You need one expert part-time | Tensorway |
| You want to test an engineer before signing for months | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs Howdy.com (Not published) |
| You need overlap with U.S. working hours | Howdy.com |
| You need specialist depth in a specific vertical | Tensorway |
Use case fit: Tensorway vs Howdy.com
| Use case | Tensorway fit | Howdy.com fit | Winner |
|---|---|---|---|
| Adding RAG and evaluation expertise to a SaaS team shipping its first LLM feature | Strong | Limited | Tensorway |
| Bringing GPU inference costs under control for a production model | Strong | Limited | Tensorway |
| Hiring one full-time LLM application developer for a startup | Limited | Strong | Howdy.com |
| Building a small Latin American team on U.S. hours | Limited | Strong | Howdy.com |
Verdict: Tensorway vs Howdy.com
Tensorway (4.4/5) is the stronger overall choice for most AI Staff Augmentation projects. Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories.
Howdy.com (3.9/5) is worth a look if you need building a small Latin American team on U.S. hours. 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 (4.4/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: candidates pass a code review, a practical task in their specialty and a communication check run by senior AI engineers. Howdy.com's strongest advantage: engineers work for one client full time.
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 monthly all-in fee per engineer quoted per engagement; 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 Howdy.com?
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 company before shortlisting.
What are the main differences between Tensorway and Howdy.com?
Tensorway's primary differentiator is: senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories. Howdy.com's primary differentiator is: Full-time, single-client placements with employment handled by Howdy. They also differ in team size (50–249 vs Not disclosed), minimum engagement (Not disclosed vs Not published), and primary industries served (Financial services, Software & SaaS vs Software & SaaS, Financial services).
Verify all details directly with each company before making a decision.