Proxify vs Strider: full comparison for 2026
Quick verdict
Proxify (4.4/5) edges ahead of Strider (3.8/5) overall. Proxify is the better choice for european companies that want a vetted ML or data engineer on European working hours. Strider is the stronger option for U.S. startups that want to hire a Latin American ML developer directly. The right choice depends on your project size, budget, and required tech stack.
Proxify vs Strider: head-to-head summary
| Criterion | Proxify | Strider |
|---|---|---|
| Founded | 2018 | 2021 |
| HQ | Stockholm, Sweden | Claymont, Delaware, USA |
| Team size | 5,000+ network members | Not published |
| Rating | 4.4 / 5 | 3.8 / 5 |
| Primary differentiator | Senior-engineer interviews with live coding after an automated skills test | Hiring plus retention support for Latin American developers |
| Pricing model | Hourly rate per developer billed monthly; full-time or part-time; rates on request | Monthly fee per developer or hiring fee; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, TensorFlow, PyTorch |
| Industries served | SaaS, Fintech, E-commerce, Media, Healthcare | SaaS, Fintech, E-commerce, Healthcare, Technology |
Proxify vs Strider: overview
Proxify
Proxify was founded in Stockholm in 2018 (one of its own pages says 2019) and matches companies with vetted developers across web, data, AI and DevOps. Candidates take Codility-based skills tests, then sit in-depth technical interviews with Proxify's senior engineers that include live coding and practical problems. The company quotes an acceptance rate of 1–3%, though the figure varies from page to page. Its network covers more than 5,000 professionals in over 90 countries, and it appeared on the Financial Times 1,000 list in 2025. Matching uses in-house AI tools alongside its hiring team.
Strider
Strider was founded in 2021 by Neal Kemp and Nicole Barra Conde and is registered in Delaware, connecting U.S. companies with remote developers in Latin America. It covers sourcing, vetting, onboarding and retention. The company says every candidate is screened for English, background, culture fit and technical skill through role-specific technical and soft-skill assessments. It lists ML engineers among its hiring categories, but its pool is mostly general software talent, so ML-specific depth should be tested in your own interviews.
Services and capabilities: Proxify vs Strider
| Capability | Proxify | Strider |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✗ |
| AI agent developers | ✗ | ✗ |
| MLOps engineers | ✗ | ✗ |
| Computer vision engineers | ✗ | ✗ |
| NLP engineers | ✗ | ✗ |
| Data engineers | ✓ | ✓ |
| Engineer-led technical screen | ✓ | ✗ |
| Fractional / part-time experts | ✓ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✓ |
| Direct hire option | ✗ | ✓ |
Tech stack comparison: Proxify vs Strider
| Framework / platform | Proxify | Strider |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Proxify vs Strider
| Criterion | Proxify | Strider |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Fractional expert, Freelance contract | Dedicated engineer, Direct hire |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Proxify vs Strider
| Dimension | Proxify | Strider |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | SaaS, Fintech, E-commerce |
| Best use cases | Adding a data engineer to a European fintech's analytics team, Hiring a Python ML developer for a recommender system | Hiring one Latin American Python ML developer, Adding a data engineer to a U.S. startup |
| Typical project type | Dedicated engineer | Dedicated engineer |
Proxify vs Strider: pros and cons
| Proxify | |
|---|---|
| + | Live-coding interviews with in-house senior engineers are part of the published process |
| + | Most of the network is in European time zones, which suits teams in the EU and UK |
| + | Grew fast enough to make the Financial Times 1,000 list in 2025 |
| - | AI is one of many skill areas, and there is no AI-specific test on the record |
| - | Acceptance-rate and network-size figures differ across the company's own pages |
| - | Developers are contractors on the platform, not Proxify employees |
| Strider | |
|---|---|
| + | Latin American engineers on U.S. hours |
| + | Supports retention after the hire |
| + | Assesses English and soft skills as well as code |
| - | Founded in 2021, so a short track record |
| - | ML is a small part of a general developer pool |
| - | Success-rate and pool-size claims are unverified |
Who should choose Proxify?
A typical fit: adding a data engineer to a European fintech's analytics team.
Senior-engineer interviews with live coding after an automated skills test. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, Media, Healthcare.
Who should choose Strider?
A typical fit: hiring one Latin American Python ML developer.
Hiring plus retention support for Latin American developers. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, Healthcare, Technology.
Decision matrix: Proxify vs Strider
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Proxify |
| You need one specialist for a few days a week | Proxify |
| You need several engineers working as one team | Proxify |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: Proxify (Not published) vs Strider (Not published) |
| Your team works U.S. hours | Strider |
| You may want to hire the engineer permanently later | Strider |
Use case fit: Proxify vs Strider
| Use case | Proxify fit | Strider fit | Winner |
|---|---|---|---|
| Adding a data engineer to a European fintech's analytics team | Strong | Strong | Both equally |
| Hiring a Python ML developer for a recommender system | Strong | Strong | Both equally |
| Hiring one Latin American Python ML developer | Strong | Strong | Both equally |
| Adding a data engineer to a U.S. startup | Strong | Strong | Both equally |
Verdict: Proxify vs Strider
Proxify (4.4/5) is the stronger overall choice for most AI Engineer Staffing projects. Senior-engineer interviews with live coding after an automated skills test.
Strider (3.8/5) is worth a look if you need adding a data engineer to a U.S. startup. If your situation matches that, Strider is a competitive option.
Related comparisons
Proxify vs Strider FAQ
Is Proxify better than Strider?
Proxify (4.4/5) scores higher overall, but "better" depends on your use case. Proxify's strongest advantage: live-coding interviews with in-house senior engineers are part of the published process. Strider's strongest advantage: latin American engineers on U.S. hours.
How do Proxify and Strider differ in pricing?
Proxify uses hourly rate per developer billed monthly; full-time or part-time; rates on request pricing. Strider uses monthly fee per developer or hiring fee; 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: Proxify or Strider?
Proxify 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 Proxify and Strider?
Proxify's primary differentiator is: senior-engineer interviews with live coding after an automated skills test. Strider's primary differentiator is: hiring plus retention support for Latin American developers. They also differ in team size (5,000+ network members vs Not published), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs SaaS, Fintech).
Verify all details directly with each company before making a decision.