Proxify vs Svitla Systems: full comparison for 2026
Quick verdict
Proxify (4.4/5) edges ahead of Svitla Systems (3.9/5) overall. Proxify is the better choice for european companies that want a vetted ML or data engineer on European working hours. Svitla Systems is the stronger option for mid-size companies that want one supplier for ML engineers in both Latin America and Europe. The right choice depends on your project size, budget, and required tech stack.
Proxify vs Svitla Systems: head-to-head summary
| Criterion | Proxify | Svitla Systems |
|---|---|---|
| Founded | 2018 | 2003 |
| HQ | Stockholm, Sweden | Corte Madera, California, USA |
| Team size | 5,000+ network members | 1,000–1,500 |
| Rating | 4.4 / 5 | 3.9 / 5 |
| Primary differentiator | Senior-engineer interviews with live coding after an automated skills test | Engineers in both Latin American and European time zones from one supplier |
| Pricing model | Hourly rate per developer billed monthly; full-time or part-time; rates on request | Monthly per engineer or team; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, LangChain |
| Industries served | SaaS, Fintech, E-commerce, Media, Healthcare | Healthcare, Financial services, Retail, Media, Technology |
Proxify vs Svitla Systems: 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.
Svitla Systems
Svitla Systems was founded in 2003 by Nataliya Anon and is based in Corte Madera, California, with Miami as a second U.S. base. It reports more than 1,300 employees, roughly 500 in Latin America and 500 in Ukraine, Poland and Romania. Its staff augmentation work gets good reviews for how well engineers fit into client teams, and its 2026 job ads seek agent and RAG engineers. Some Clutch reviewers say its vetting of senior engineers could be better, which matters for ML roles where seniority is the whole point.
Services and capabilities: Proxify vs Svitla Systems
| Capability | Proxify | Svitla Systems |
|---|---|---|
| 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 Svitla Systems
| Framework / platform | Proxify | Svitla Systems |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| LangChain | 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 Svitla Systems
| Criterion | Proxify | Svitla Systems |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Fractional expert, Freelance contract | Dedicated engineer, Dedicated team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Proxify vs Svitla Systems
| Dimension | Proxify | Svitla Systems |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | SaaS, Fintech, E-commerce | Healthcare, Financial services, Retail |
| Best use cases | Adding a data engineer to a European fintech's analytics team, Hiring a Python ML developer for a recommender system | Adding a RAG engineer to a healthcare knowledge assistant, Staffing data engineers across two time zones |
| Typical project type | Dedicated engineer | Dedicated engineer |
Proxify vs Svitla Systems: 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 |
| Svitla Systems | |
|---|---|
| + | Engineers in both U.S.-aligned and European time zones |
| + | Client reviews praise how engineers fit into existing teams |
| + | Hiring for agent and RAG skills in 2026 |
| - | Some reviewers question how it vets senior engineers |
| - | AI is a growing practice inside a general software firm |
| - | No published rates |
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 Svitla Systems?
A typical fit: adding a RAG engineer to a healthcare knowledge assistant.
Engineers in both Latin American and European time zones from one supplier. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Retail, Media, Technology.
Decision matrix: Proxify vs Svitla Systems
| 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 Svitla Systems (Not published) |
| Your team works U.S. hours | Svitla Systems |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
Use case fit: Proxify vs Svitla Systems
| Use case | Proxify fit | Svitla Systems 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 | Limited | Proxify |
| Adding a RAG engineer to a healthcare knowledge assistant | Strong | Strong | Both equally |
| Staffing data engineers across two time zones | Limited | Strong | Svitla Systems |
Verdict: Proxify vs Svitla Systems
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.
Svitla Systems (3.9/5) is worth a look if you need staffing data engineers across two time zones. If your situation matches that, Svitla Systems is a competitive option.
Related comparisons
Proxify vs Svitla Systems FAQ
Is Proxify better than Svitla Systems?
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. Svitla Systems's strongest advantage: engineers in both U.S.-aligned and European time zones.
How do Proxify and Svitla Systems differ in pricing?
Proxify uses hourly rate per developer billed monthly; full-time or part-time; rates on request pricing. Svitla Systems uses monthly per engineer or team; 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 Svitla Systems?
Svitla Systems 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 Svitla Systems?
Proxify's primary differentiator is: senior-engineer interviews with live coding after an automated skills test. Svitla Systems's primary differentiator is: engineers in both Latin American and European time zones from one supplier. They also differ in team size (5,000+ network members vs 1,000–1,500), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Healthcare, Financial services).
Verify all details directly with each company before making a decision.