Best AI Staffing Agencies

deepsense.ai vs Howdy.com: full comparison for 2026

Quick verdict

deepsense.ai (4.6/5) edges ahead of Howdy.com (4.1/5) overall. deepsense.ai is the better choice for research-heavy ML problems, senior data scientists. 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.

deepsense.ai vs Howdy.com: head-to-head summary

Criterion deepsense.ai Howdy.com
Founded 2014 2018
HQ Warsaw, Poland Austin, Texas, USA
Team size 100–200 100–249
Rating 4.6 / 5 4.1 / 5
Primary differentiator Research-grade data scientists available as embedded team members Published 15% fee on top of the engineer's pay
Pricing model Time and materials; dedicated team; rates on request Engineer salary plus a flat 15% service fee (published)
Min. engagement Not disclosed 1 engineer
Primary tech stack PyTorch, TensorFlow, Hugging Face Python, AWS, Databricks
Industries served Retail and e-commerce, Manufacturing, Healthcare, Fintech SaaS, Fintech, Healthcare, E-commerce

deepsense.ai vs Howdy.com: overview

deepsense.ai

deepsense.ai was founded in 2014 in Warsaw, Poland, and keeps a second office in Palo Alto. It is an AI-first company whose work spans generative AI, LLMs, retrieval-augmented generation, MLOps, computer vision and edge AI. Its team-augmentation offer draws on a staff of more than 100 data scientists, data engineers and software engineers, a group that includes Kaggle competition winners and PhD holders (per company website; independently unverifiable). Clutch reviewers describe engineers who integrate with in-house teams and add capacity on strategic projects.

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: deepsense.ai vs Howdy.com

Capability deepsense.ai 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: deepsense.ai vs Howdy.com

Framework / platform deepsense.ai Howdy.com
PyTorch ✓ N/A
TensorFlow ✓ ✓
LangChain ✓ N/A
Hugging Face ✓ 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

Pricing comparison: deepsense.ai vs Howdy.com

Criterion deepsense.ai Howdy.com
Minimum engagement Not disclosed 1 engineer
Engagement models Dedicated team, Full-time dedicated engineers, Managed delivery Full-time dedicated engineers, Dedicated team
Rate transparency Not public Minimum disclosed
Price tier Mid-market Accessible

Target audience comparison: deepsense.ai vs Howdy.com

Dimension deepsense.ai Howdy.com
Best company size Startup to mid-market Startup to mid-market
Best industries Retail and e-commerce, Manufacturing, Healthcare SaaS, Fintech, Healthcare
Best use cases Embedding a senior data scientist in a product team with a hard modeling problem, Adding computer-vision engineers for an edge-device deployment 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 Dedicated team Full-time dedicated engineers

deepsense.ai vs Howdy.com: pros and cons

deepsense.ai
+ Every engineer comes from a company that has done nothing but applied AI since 2014
+ Unusually deep bench for computer vision and edge deployment
+ Can supply data engineers alongside data scientists, so the people building features also get clean data
+ Polish base gives EU data-protection familiarity and a few hours of overlap with the U.S. East Coast
- Bench of roughly 100 people limits how many concurrent placements it can take
- Senior research talent is priced accordingly; rates are not published
- Better suited to multi-month engagements than one-off fractional help
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 deepsense.ai?

A typical fit: embedding a senior data scientist in a product team with a hard modeling problem.

Research-grade data scientists available as embedded team members. Minimum engagement is not publicly disclosed. Works best with clients in Retail and e-commerce, Manufacturing, Healthcare, Fintech.

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: deepsense.ai 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 deepsense.ai
Your budget is at the lower end Compare: deepsense.ai (Not disclosed) vs Howdy.com (1 engineer)
You need specialist depth in a specific vertical deepsense.ai
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: deepsense.ai vs Howdy.com

Use case deepsense.ai fit Howdy.com fit Winner
Embedding a senior data scientist in a product team with a hard modeling problem Strong Limited deepsense.ai
Adding computer-vision engineers for an edge-device deployment Strong Strong Both equally
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: deepsense.ai vs Howdy.com

deepsense.ai (4.6/5) is the stronger overall choice for most AI Staffing projects. Research-grade data scientists available as embedded team members.

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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deepsense.ai vs Howdy.com FAQ

Is deepsense.ai better than Howdy.com?

deepsense.ai (4.6/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: every engineer comes from a company that has done nothing but applied AI since 2014. Howdy.com's strongest advantage: fee structure is published, so you can see what the engineer actually earns.

How do deepsense.ai and Howdy.com differ in pricing?

deepsense.ai uses time and materials; dedicated team; rates on request 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: deepsense.ai or Howdy.com?

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 deepsense.ai and Howdy.com?

deepsense.ai's primary differentiator is: research-grade data scientists available as embedded team members. Howdy.com's primary differentiator is: published 15% fee on top of the engineer's pay. They also differ in team size (100–200 vs 100–249), minimum engagement (Not disclosed vs 1 engineer), and primary industries served (Retail and e-commerce, Manufacturing vs SaaS, Fintech).

Verify all details directly with each agency before making a decision.