Howdy.com vs Intellias: full comparison for 2026
Quick verdict
Howdy.com (4.1/5) edges ahead of Intellias (4.0/5) overall. Howdy.com is the better choice for teams that want transparent nearshore pricing. Intellias is the stronger option for automotive and mobility companies, embedded AI. The right choice depends on your project size, budget, and required tech stack.
Howdy.com vs Intellias: head-to-head summary
| Criterion | Howdy.com | Intellias |
|---|---|---|
| Founded | 2018 | 2002 |
| HQ | Austin, Texas, USA | Lviv, Ukraine |
| Team size | 100–249 | 1,000+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Published 15% fee on top of the engineer's pay | Physical-AI and automotive engineering depth |
| Pricing model | Engineer salary plus a flat 15% service fee (published) | Dedicated team; AI pods; rates on request |
| Min. engagement | 1 engineer | Not disclosed |
| Primary tech stack | Python, AWS, Databricks | Python, C++, PyTorch |
| Industries served | SaaS, Fintech, Healthcare, E-commerce | Automotive, Logistics, Fintech, Telecom |
Howdy.com vs Intellias: overview
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.
Intellias
Intellias was founded in Lviv, Ukraine, in 2002 by Vitaliy Sedler and Mykhailo Puzrakov, received investment from Horizon Capital in 2018, and is now in the 1,000+ employee band. In 2026 it began embedding "AI Pods" in client engineering organizations, combining specialist engineers with AI agents that automate requirements, coding and QA. Gartner named it a Specialist in a 2026 report on physical-AI services, reflecting its automotive, ADAS and mobility work.
Services and capabilities: Howdy.com vs Intellias
| Capability | Howdy.com | Intellias |
|---|---|---|
| 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 Intellias
| Framework / platform | Howdy.com | Intellias |
|---|---|---|
| PyTorch | N/A | ✓ |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | ✓ |
| Databricks | ✓ | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Howdy.com vs Intellias
| Criterion | Howdy.com | Intellias |
|---|---|---|
| Minimum engagement | 1 engineer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team | Dedicated team, Managed delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Howdy.com vs Intellias
| Dimension | Howdy.com | Intellias |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | SaaS, Fintech, Healthcare | Automotive, Logistics, Fintech |
| Best use cases | Hiring a full-time LatAm data engineer with clear cost visibility, Building a two-to-four person nearshore team for a U.S. startup | Adding perception engineers to an ADAS program, Embedding an AI pod in a large engineering organization |
| Typical project type | Full-time dedicated engineers | Dedicated team |
Howdy.com vs Intellias: pros and cons
| 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 |
| Intellias | |
|---|---|
| + | Rare depth in automotive and edge AI |
| + | Analyst recognition from Gartner in 2026 |
| + | AI pod format pairs engineers with automation tooling |
| - | Pods are closer to managed delivery than individual staff augmentation |
| - | Enterprise focus makes single hires less likely |
| - | Current headcount is not published |
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.
Who should choose Intellias?
A typical fit: adding perception engineers to an ADAS program.
Physical-AI and automotive engineering depth. Minimum engagement is not publicly disclosed. Works best with clients in Automotive, Logistics, Fintech, Telecom.
Decision matrix: Howdy.com vs Intellias
| 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 | Howdy.com |
| Your budget is at the lower end | Compare: Howdy.com (1 engineer) vs Intellias (Not disclosed) |
| You need specialist depth in a specific vertical | Howdy.com |
| 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: Howdy.com vs Intellias
| Use case | Howdy.com fit | Intellias fit | Winner |
|---|---|---|---|
| Hiring a full-time LatAm data engineer with clear cost visibility | Strong | Limited | Howdy.com |
| Building a two-to-four person nearshore team for a U.S. startup | Strong | Limited | Howdy.com |
| Adding perception engineers to an ADAS program | Strong | Strong | Both equally |
| Embedding an AI pod in a large engineering organization | Limited | Strong | Intellias |
Verdict: Howdy.com vs Intellias
Howdy.com (4.1/5) is the stronger overall choice for most AI Staffing projects. Published 15% fee on top of the engineer's pay.
Intellias (4.0/5) is worth a look if you need embedding an AI pod in a large engineering organization. If your situation matches that, Intellias is a competitive option.
Related comparisons
Howdy.com vs Intellias FAQ
Is Howdy.com better than Intellias?
Howdy.com (4.1/5) scores higher overall, but "better" depends on your use case. Howdy.com's strongest advantage: fee structure is published, so you can see what the engineer actually earns. Intellias's strongest advantage: rare depth in automotive and edge AI.
How do Howdy.com and Intellias differ in pricing?
Howdy.com uses engineer salary plus a flat 15% service fee (published) pricing with a minimum engagement of 1 engineer. Intellias uses dedicated team; ai pods; 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 Intellias?
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 Howdy.com and Intellias?
Howdy.com's primary differentiator is: published 15% fee on top of the engineer's pay. Intellias's primary differentiator is: Physical-AI and automotive engineering depth. They also differ in team size (100–249 vs 1,000+), minimum engagement (1 engineer vs Not disclosed), and primary industries served (SaaS, Fintech vs Automotive, Logistics).
Verify all details directly with each agency before making a decision.