Proxify vs Andela: full comparison for 2026
Quick verdict
Proxify (4.4/5) edges ahead of Andela (4.1/5) overall. Proxify is the better choice for european companies that want a vetted ML or data engineer on European working hours. Andela is the stronger option for companies building a long-term remote engineering group outside the U.S. that includes some ML roles. The right choice depends on your project size, budget, and required tech stack.
Proxify vs Andela: head-to-head summary
| Criterion | Proxify | Andela |
|---|---|---|
| Founded | 2018 | 2014 |
| HQ | Stockholm, Sweden | New York, USA |
| Team size | 5,000+ network members | 300–500 staff; large engineer marketplace |
| Rating | 4.4 / 5 | 4.1 / 5 |
| Primary differentiator | Senior-engineer interviews with live coding after an automated skills test | Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy |
| Pricing model | Hourly rate per developer billed monthly; full-time or part-time; rates on request | Monthly rate per engineer; marketplace and managed options; 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 | Technology, Financial services, Media, Healthcare, Retail |
Proxify vs Andela: 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.
Andela
Andela started in 2014 in Lagos and is now headquartered in New York, running a private marketplace of engineers from Africa, Latin America and other regions. In January 2026 it acquired Woven, a company that builds technical assessments, to strengthen how it checks real engineering ability. It also runs an AI Academy and in 2025 committed to training 3,000 technologists in AI coding with GitHub. Profile counts in the six figures are unverified. Andela suits companies that want long-term remote engineers at lower cost than U.S. hiring, with screening that is becoming more rigorous but is still largely general software assessment.
Services and capabilities: Proxify vs Andela
| Capability | Proxify | Andela |
|---|---|---|
| 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 Andela
| Framework / platform | Proxify | Andela |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Proxify vs Andela
| Criterion | Proxify | Andela |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Fractional expert, Freelance contract | Dedicated engineer, Dedicated team, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Proxify vs Andela
| Dimension | Proxify | Andela |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | Technology, Financial services, Media |
| Best use cases | Adding a data engineer to a European fintech's analytics team, Hiring a Python ML developer for a recommender system | Hiring a remote data engineer for a long product roadmap, Adding an ML engineer to an existing Andela-staffed team |
| Typical project type | Dedicated engineer | Dedicated engineer |
Proxify vs Andela: 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 |
| Andela | |
|---|---|
| + | Woven's assessments test practical engineering rather than quiz answers |
| + | Strong in Africa and Latin America, with lower rates than U.S. hiring |
| + | Trains its own engineers in AI tooling |
| - | The Woven integration is new, so its effect on ML vetting is unproven |
| - | Most of the pool is general software talent, not ML specialists |
| - | Network-size figures come from secondary 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 Andela?
A typical fit: hiring a remote data engineer for a long product roadmap.
Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Financial services, Media, Healthcare, Retail.
Decision matrix: Proxify vs Andela
| 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 | Both; Proxify rates higher overall |
| 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 Andela (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 Andela
| Use case | Proxify fit | Andela 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 a remote data engineer for a long product roadmap | Strong | Strong | Both equally |
| Adding an ML engineer to an existing Andela-staffed team | Strong | Strong | Both equally |
Verdict: Proxify vs Andela
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.
Andela (4.1/5) is worth a look if you need adding an ML engineer to an existing Andela-staffed team. If your situation matches that, Andela is a competitive option.
Related comparisons
Proxify vs Andela FAQ
Is Proxify better than Andela?
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. Andela's strongest advantage: Woven's assessments test practical engineering rather than quiz answers.
How do Proxify and Andela differ in pricing?
Proxify uses hourly rate per developer billed monthly; full-time or part-time; rates on request pricing. Andela uses monthly rate per engineer; marketplace and managed options; 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 Andela?
Andela 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 Andela?
Proxify's primary differentiator is: senior-engineer interviews with live coding after an automated skills test. Andela's primary differentiator is: assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy. They also differ in team size (5,000+ network members vs 300–500 staff; large engineer marketplace), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Technology, Financial services).
Verify all details directly with each company before making a decision.