Proxify vs micro1: full comparison for 2026
Quick verdict
Proxify (4.4/5) edges ahead of micro1 (3.7/5) overall. Proxify is the better choice for european companies that want a vetted ML or data engineer on European working hours. micro1 is the stronger option for AI teams that need many vetted contributors quickly for evaluation or data work. The right choice depends on your project size, budget, and required tech stack.
Proxify vs micro1: head-to-head summary
| Criterion | Proxify | micro1 |
|---|---|---|
| Founded | 2018 | 2022 |
| HQ | Stockholm, Sweden | California, USA |
| Team size | 5,000+ network members | Estimates range from 11–50 staff to thousands including contractors |
| Rating | 4.4 / 5 | 3.7 / 5 |
| Primary differentiator | Senior-engineer interviews with live coding after an automated skills test | Automated AI interviews that screen candidates in high volume |
| Pricing model | Hourly rate per developer billed monthly; full-time or part-time; rates on request | Hourly or monthly per contractor; one-week test option; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, OpenAI |
| Industries served | SaaS, Fintech, E-commerce, Media, Healthcare | AI labs, Technology, SaaS, Finance, Healthcare |
Proxify vs micro1: 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.
micro1
micro1 was founded in 2022 by Ali Ansari and is based in California. Its AI recruiter, Zara, runs a structured interview of 20 to 40 minutes with every applicant. The company raised a Series A at a $500 million valuation in September 2025 and now earns most of its revenue supplying vetted experts to AI labs for model training. Engineering teams can still hire through it, but an automated interview is a different thing from a senior engineer reviewing code, and its focus has moved toward lab work.
Services and capabilities: Proxify vs micro1
| Capability | Proxify | micro1 |
|---|---|---|
| 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 micro1
| Framework / platform | Proxify | micro1 |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | ✓ |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | N/A |
| Databricks | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Proxify vs micro1
| Criterion | Proxify | micro1 |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Fractional expert, Freelance contract | Freelance contract, Trial period |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Proxify vs micro1
| Dimension | Proxify | micro1 |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | AI labs, Technology, SaaS |
| Best use cases | Adding a data engineer to a European fintech's analytics team, Hiring a Python ML developer for a recommender system | Hiring twenty LLM evaluators for a model release, Adding a contract ML engineer for a short project |
| Typical project type | Dedicated engineer | Freelance contract |
Proxify vs micro1: 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 |
| micro1 | |
|---|---|
| + | Can screen a very large number of candidates fast |
| + | Experience with AI-lab evaluation work |
| + | A short trial before a longer contract |
| - | AI interviews replace engineer judgment in the screen |
| - | Most revenue now comes from AI labs, not product teams |
| - | Headquarters is listed differently across sources |
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 micro1?
A typical fit: hiring twenty LLM evaluators for a model release.
Automated AI interviews that screen candidates in high volume. Minimum engagement is not publicly disclosed. Works best with clients in AI labs, Technology, SaaS, Finance, Healthcare.
Decision matrix: Proxify vs micro1
| 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 | micro1 |
| Your budget is at the lower end | Compare: Proxify (Not published) vs micro1 (Not published) |
| Your team works U.S. hours | Neither lists Latin American engineers; confirm overlap hours in the contract |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
Use case fit: Proxify vs micro1
| Use case | Proxify fit | micro1 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 twenty LLM evaluators for a model release | Strong | Strong | Both equally |
| Adding a contract ML engineer for a short project | Strong | Strong | Both equally |
Verdict: Proxify vs micro1
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.
micro1 (3.7/5) is worth a look if you need adding a contract ML engineer for a short project. If your situation matches that, micro1 is a competitive option.
Related comparisons
Proxify vs micro1 FAQ
Is Proxify better than micro1?
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. micro1's strongest advantage: can screen a very large number of candidates fast.
How do Proxify and micro1 differ in pricing?
Proxify uses hourly rate per developer billed monthly; full-time or part-time; rates on request pricing. micro1 uses hourly or monthly per contractor; one-week test option; 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 micro1?
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 micro1?
Proxify's primary differentiator is: senior-engineer interviews with live coding after an automated skills test. micro1's primary differentiator is: automated AI interviews that screen candidates in high volume. They also differ in team size (5,000+ network members vs Estimates range from 11–50 staff to thousands including contractors), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs AI labs, Technology).
Verify all details directly with each company before making a decision.