BEON.tech vs Howdy.com: full comparison for 2026
Quick verdict
BEON.tech (4.3/5) edges ahead of Howdy.com (4.1/5) overall. BEON.tech is the better choice for U.S. scale-ups hiring long-term LatAm AI engineers. 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.
BEON.tech vs Howdy.com: head-to-head summary
| Criterion | BEON.tech | Howdy.com |
|---|---|---|
| Founded | 2018 | 2018 |
| HQ | Buenos Aires, Argentina | Austin, Texas, USA |
| Team size | 100–249 | 100–249 |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Senior-only LatAm placements with AWS Bedrock experience | Published 15% fee on top of the engineer's pay |
| Pricing model | Monthly per engineer; rates on request after a discovery call | Engineer salary plus a flat 15% service fee (published) |
| Min. engagement | Not disclosed | 1 engineer |
| Primary tech stack | Python, AWS SageMaker, AWS Bedrock | Python, AWS, Databricks |
| Industries served | Fintech, SaaS, Healthcare, E-commerce | SaaS, Fintech, Healthcare, E-commerce |
BEON.tech vs Howdy.com: overview
BEON.tech
BEON.tech was founded in 2018 and is based in Buenos Aires, Argentina. It provides long-term staff augmentation with senior Latin American engineers for U.S. companies, covering AI engineering, data science, web and mobile development and QA. Its AWS Marketplace listing describes AI work with Amazon SageMaker and Bedrock. Vetting includes technical assessments, English checks and a culture-fit review, and the company claims more than 100 client partnerships (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: BEON.tech vs Howdy.com
| Capability | BEON.tech | 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: BEON.tech vs Howdy.com
| Framework / platform | BEON.tech | Howdy.com |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS SageMaker | ✓ | N/A |
| Azure ML | N/A | N/A |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: BEON.tech vs Howdy.com
| Criterion | BEON.tech | Howdy.com |
|---|---|---|
| Minimum engagement | Not disclosed | 1 engineer |
| Engagement models | Full-time dedicated engineers, Dedicated team | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: BEON.tech vs Howdy.com
| Dimension | BEON.tech | Howdy.com |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, SaaS, Healthcare | SaaS, Fintech, Healthcare |
| Best use cases | Hiring a senior ML engineer to own a SageMaker deployment, Adding a data scientist to a fintech risk team | 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 |
BEON.tech vs Howdy.com: pros and cons
| BEON.tech | |
|---|---|
| + | Focuses on senior engineers, which suits teams without time to mentor |
| + | Built for long-term placements, so turnover risk is lower than with project shops |
| + | AWS-native AI experience for teams already on Bedrock or SageMaker |
| + | U.S. time-zone overlap |
| - | Self-reported rankings and partnership counts are hard to verify |
| - | Less suited to short fractional needs |
| - | No published rate card |
| 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 BEON.tech?
A typical fit: hiring a senior ML engineer to own a SageMaker deployment.
Senior-only LatAm placements with AWS Bedrock experience. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, SaaS, Healthcare, E-commerce.
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: BEON.tech 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 | BEON.tech |
| Your budget is at the lower end | Compare: BEON.tech (Not disclosed) vs Howdy.com (1 engineer) |
| You need specialist depth in a specific vertical | BEON.tech |
| 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: BEON.tech vs Howdy.com
| Use case | BEON.tech fit | Howdy.com fit | Winner |
|---|---|---|---|
| Hiring a senior ML engineer to own a SageMaker deployment | Strong | Strong | Both equally |
| Adding a data scientist to a fintech risk team | Strong | Strong | Both equally |
| Hiring a full-time LatAm data engineer with clear cost visibility | Strong | Strong | Both equally |
| Building a two-to-four person nearshore team for a U.S. startup | Strong | Strong | Both equally |
Verdict: BEON.tech vs Howdy.com
BEON.tech (4.3/5) is the stronger overall choice for most AI Staffing projects. Senior-only LatAm placements with AWS Bedrock experience.
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.
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BEON.tech vs Howdy.com FAQ
Is BEON.tech better than Howdy.com?
BEON.tech (4.3/5) scores higher overall, but "better" depends on your use case. BEON.tech's strongest advantage: focuses on senior engineers, which suits teams without time to mentor. Howdy.com's strongest advantage: fee structure is published, so you can see what the engineer actually earns.
How do BEON.tech and Howdy.com differ in pricing?
BEON.tech uses monthly per engineer; rates on request after a discovery call 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: BEON.tech or Howdy.com?
BEON.tech 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 BEON.tech and Howdy.com?
BEON.tech's primary differentiator is: senior-only LatAm placements with AWS Bedrock experience. Howdy.com's primary differentiator is: published 15% fee on top of the engineer's pay. They also differ in team size (100–249 vs 100–249), minimum engagement (Not disclosed vs 1 engineer), and primary industries served (Fintech, SaaS vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.