Howdy.com vs Xenoss: full comparison for 2026
Quick verdict
Howdy.com (3.9/5) edges ahead of Xenoss (3.8/5) overall. Howdy.com is the better choice for U.S. startups hiring full-time Latin American AI engineers. Xenoss is the stronger option for AdTech and MarTech firms needing real-time data plus AI. The right choice depends on your project size, budget, and required tech stack.
Howdy.com vs Xenoss: head-to-head summary
| Criterion | Howdy.com | Xenoss |
|---|---|---|
| Founded | 2018 | 2013 |
| HQ | Austin, Texas, USA | New York, New York, USA |
| Team size | Not disclosed | 100–200 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Primary differentiator | Full-time, single-client placements with employment handled by Howdy | Real-time, high-load data engineering from AdTech roots |
| Pricing model | Monthly all-in fee per engineer quoted per engagement; rates on request | Team extension and project pricing; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, LangChain | Python, Kafka, Spark |
| Industries served | Software & SaaS, Financial services, Healthcare & life sciences | Media, Retail & e-commerce, Software & SaaS |
Howdy.com vs Xenoss: overview
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.
Xenoss
Xenoss was founded in 2013 by AdTech veterans and lists its headquarters in New York, with CEO Dmitry Sverdlik. Directories put headcount between 100 and 200. It specializes in AI and data engineering, including AI agents, real-time data systems and LLM knowledge bases, and favors small senior teams. Team extension appears in its history, but it does not run a dedicated staff augmentation offer.
Services and capabilities: Howdy.com vs Xenoss
| Capability | Howdy.com | Xenoss |
|---|---|---|
| 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: Howdy.com vs Xenoss
| Framework / platform | Howdy.com | Xenoss |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Howdy.com vs Xenoss
| Criterion | Howdy.com | Xenoss |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Howdy.com vs Xenoss
| Dimension | Howdy.com | Xenoss |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, Financial services, Healthcare & life sciences | Media, Retail & e-commerce, Software & SaaS |
| Best use cases | Hiring one full-time LLM application developer for a startup, Building a small Latin American team on U.S. hours | Adding real-time feature engineering for a bidding model, Building an LLM knowledge base on marketing data |
| Typical project type | Full-time dedicated engineers | Dedicated team |
Howdy.com vs Xenoss: pros and cons
| 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 |
| Xenoss | |
|---|---|
| + | High-load, real-time data experience |
| + | Small senior teams with low management overhead |
| + | Builds agents and knowledge bases on its own data work |
| - | No dedicated staff augmentation page |
| - | Industry focus is narrow outside AdTech and MarTech |
| - | Headcount data varies |
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.
Who should choose Xenoss?
A typical fit: adding real-time feature engineering for a bidding model.
Real-time, high-load data engineering from AdTech roots. Minimum engagement is not publicly disclosed. Works best with clients in Media, Retail & e-commerce, Software & SaaS.
Decision matrix: Howdy.com vs Xenoss
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; Howdy.com rates higher overall |
| You want the supplier to own delivery as well as staffing | Xenoss |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| You want to test an engineer before signing for months | Neither publishes a trial; ask for a short first term |
| Your budget is at the lower end | Compare: Howdy.com (Not published) vs Xenoss (Not published) |
| You need overlap with U.S. working hours | Howdy.com |
| You need specialist depth in a specific vertical | Howdy.com |
Use case fit: Howdy.com vs Xenoss
| Use case | Howdy.com fit | Xenoss fit | Winner |
|---|---|---|---|
| Hiring one full-time LLM application developer for a startup | Strong | Limited | Howdy.com |
| Building a small Latin American team on U.S. hours | Strong | Strong | Both equally |
| Adding real-time feature engineering for a bidding model | Limited | Strong | Xenoss |
| Building an LLM knowledge base on marketing data | Strong | Strong | Both equally |
Verdict: Howdy.com vs Xenoss
Howdy.com (3.9/5) is the stronger overall choice for most AI Staff Augmentation projects. Full-time, single-client placements with employment handled by Howdy.
Xenoss (3.8/5) is worth a look if you need building an LLM knowledge base on marketing data. If your situation matches that, Xenoss is a competitive option.
Related comparisons
Howdy.com vs Xenoss FAQ
Is Howdy.com better than Xenoss?
Howdy.com (3.9/5) scores higher overall, but "better" depends on your use case. Howdy.com's strongest advantage: engineers work for one client full time. Xenoss's strongest advantage: High-load, real-time data experience.
How do Howdy.com and Xenoss differ in pricing?
Howdy.com uses monthly all-in fee per engineer quoted per engagement; rates on request pricing. Xenoss uses team extension and project pricing; 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: Howdy.com or Xenoss?
Xenoss 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 Howdy.com and Xenoss?
Howdy.com's primary differentiator is: Full-time, single-client placements with employment handled by Howdy. Xenoss's primary differentiator is: Real-time, high-load data engineering from AdTech roots. They also differ in team size (Not disclosed vs 100–200), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, Financial services vs Media, Retail & e-commerce).
Verify all details directly with each company before making a decision.