Vention vs Howdy.com: full comparison for 2026
Quick verdict
Vention (4.2/5) edges ahead of Howdy.com (4.1/5) overall. Vention is the better choice for startups and scale-ups wanting CVs within two days. 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.
Vention vs Howdy.com: head-to-head summary
| Criterion | Vention | Howdy.com |
|---|---|---|
| Founded | 2002 | 2018 |
| HQ | New York, USA | Austin, Texas, USA |
| Team size | 1,000–9,999 | 100–249 |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | Fast CV turnaround with a free delivery manager | Published 15% fee on top of the engineer's pay |
| Pricing model | Monthly per engineer; dedicated team; rates on request | Engineer salary plus a flat 15% service fee (published) |
| Min. engagement | 1 developer | 1 engineer |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, AWS, Databricks |
| Industries served | SaaS, Fintech, Healthcare, E-commerce, Media | SaaS, Fintech, Healthcare, E-commerce |
Vention vs Howdy.com: overview
Vention
Vention traces its history to 2002 and is headquartered in New York, with European hubs including Berlin, Vienna, Łódź and Tbilisi. Clutch places it in the 1,000–9,999 employee band and describes a pool of more than 3,000 developers. Its AI page cites more than 100 AI professionals across MLOps, NLP, computer vision and generative AI, CVs within 48 hours and a project start within 14 days of signing (per company website; independently unverifiable). Clients can start with one developer and get a delivery manager and client partner at no extra charge.
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: Vention vs Howdy.com
| Capability | Vention | 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: Vention vs Howdy.com
| Framework / platform | Vention | 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 |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Vention vs Howdy.com
| Criterion | Vention | Howdy.com |
|---|---|---|
| Minimum engagement | 1 developer | 1 engineer |
| Engagement models | Full-time dedicated engineers, Dedicated team | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Vention vs Howdy.com
| Dimension | Vention | Howdy.com |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | SaaS, Fintech, Healthcare |
| Best use cases | Adding an NLP engineer to a startup's product team quickly, Growing from one ML hire to a five-person team over a quarter | 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 |
Vention vs Howdy.com: pros and cons
| Vention | |
|---|---|
| + | Stated CV turnaround of 48 hours is among the fastest on this list |
| + | Delivery manager included at no extra cost |
| + | Large general bench for the non-AI roles around an ML team |
| + | Several EU hubs give options on time zone and data residency |
| - | AI specialists are a small share of a large generalist company |
| - | Speed claims are self-reported |
| - | No published rates |
| 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 Vention?
A typical fit: adding an NLP engineer to a startup's product team quickly.
Fast CV turnaround with a free delivery manager. Minimum engagement starts at 1 developer. Works best with clients in SaaS, Fintech, Healthcare, E-commerce, Media.
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: Vention 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 | Vention |
| Your budget is at the lower end | Vention |
| You need specialist depth in a specific vertical | Vention |
| 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: Vention vs Howdy.com
| Use case | Vention fit | Howdy.com fit | Winner |
|---|---|---|---|
| Adding an NLP engineer to a startup's product team quickly | Strong | Strong | Both equally |
| Growing from one ML hire to a five-person team over a quarter | Strong | Limited | Vention |
| 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: Vention vs Howdy.com
Vention (4.2/5) is the stronger overall choice for most AI Staffing projects. Fast CV turnaround with a free delivery manager.
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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Vention vs Howdy.com FAQ
Is Vention better than Howdy.com?
Vention (4.2/5) scores higher overall, but "better" depends on your use case. Vention's strongest advantage: stated CV turnaround of 48 hours is among the fastest on this list. Howdy.com's strongest advantage: fee structure is published, so you can see what the engineer actually earns.
How do Vention and Howdy.com differ in pricing?
Vention uses monthly per engineer; dedicated team; rates on request pricing with a minimum engagement of 1 developer. 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: Vention or Howdy.com?
Vention 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 Vention and Howdy.com?
Vention's primary differentiator is: fast CV turnaround with a free delivery manager. Howdy.com's primary differentiator is: published 15% fee on top of the engineer's pay. They also differ in team size (1,000–9,999 vs 100–249), minimum engagement (1 developer vs 1 engineer), and primary industries served (SaaS, Fintech vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.