Proxify vs Qubit Labs: full comparison for 2026
Quick verdict
Proxify (4.4/5) edges ahead of Qubit Labs (3.7/5) overall. Proxify is the better choice for european companies that want a vetted ML or data engineer on European working hours. Qubit Labs is the stronger option for cost-conscious teams that can write a precise brief for an Eastern European ML hire. The right choice depends on your project size, budget, and required tech stack.
Proxify vs Qubit Labs: head-to-head summary
| Criterion | Proxify | Qubit Labs |
|---|---|---|
| Founded | 2018 | 2016 |
| HQ | Stockholm, Sweden | Kyiv, Ukraine |
| Team size | 5,000+ network members | 50–100 |
| Rating | 4.4 / 5 | 3.7 / 5 |
| Primary differentiator | Senior-engineer interviews with live coding after an automated skills test | Recruiting across several lower-cost Eastern European countries |
| Pricing model | Hourly rate per developer billed monthly; full-time or part-time; rates on request | Monthly per engineer with a service 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 | Technology, Fintech, E-commerce, Gaming, Healthcare |
Proxify vs Qubit Labs: 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.
Qubit Labs
Qubit Labs launched in 2016 as a Ukrainian IT outstaffing company and is now listed with headquarters in Tallinn or Kyiv depending on the source. It builds remote dedicated teams in Ukraine, Poland, Moldova, Georgia, Romania and other countries, and in recent years it has added AI staff augmentation and deep tech recruiting. Screening is recruiter-led. The firm is a practical option for cost-conscious teams that know exactly what they want, but it has less proven ML depth than AI-only suppliers.
Services and capabilities: Proxify vs Qubit Labs
| Capability | Proxify | Qubit Labs |
|---|---|---|
| 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 Qubit Labs
| Framework / platform | Proxify | Qubit Labs |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Proxify vs Qubit Labs
| Criterion | Proxify | Qubit Labs |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Fractional expert, Freelance contract | Dedicated engineer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Proxify vs Qubit Labs
| Dimension | Proxify | Qubit Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | Technology, 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 a Python ML engineer in Poland or Romania, Building a remote data team outside Ukraine |
| Typical project type | Dedicated engineer | Dedicated engineer |
Proxify vs Qubit Labs: 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 |
| Qubit Labs | |
|---|---|
| + | Hires in several countries, not only Ukraine |
| + | Lower cost than Western European suppliers |
| + | Clients say shortlists arrive quickly |
| - | Recruiter-led screening for technical roles |
| - | AI staffing is a recent addition |
| - | Headquarters 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 Qubit Labs?
A typical fit: hiring a Python ML engineer in Poland or Romania.
Recruiting across several lower-cost Eastern European countries. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Fintech, E-commerce, Gaming, Healthcare.
Decision matrix: Proxify vs Qubit Labs
| 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 Qubit Labs (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 Qubit Labs
| Use case | Proxify fit | Qubit Labs 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 Python ML engineer in Poland or Romania | Strong | Strong | Both equally |
| Building a remote data team outside Ukraine | Limited | Strong | Qubit Labs |
Verdict: Proxify vs Qubit Labs
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.
Qubit Labs (3.7/5) is worth a look if you need building a remote data team outside Ukraine. If your situation matches that, Qubit Labs is a competitive option.
Related comparisons
Proxify vs Qubit Labs FAQ
Is Proxify better than Qubit Labs?
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. Qubit Labs's strongest advantage: hires in several countries, not only Ukraine.
How do Proxify and Qubit Labs differ in pricing?
Proxify uses hourly rate per developer billed monthly; full-time or part-time; rates on request pricing. Qubit Labs uses monthly per engineer with a service 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 Qubit Labs?
Qubit Labs 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 Qubit Labs?
Proxify's primary differentiator is: senior-engineer interviews with live coding after an automated skills test. Qubit Labs's primary differentiator is: recruiting across several lower-cost Eastern European countries. They also differ in team size (5,000+ network members vs 50–100), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Technology, Fintech).
Verify all details directly with each company before making a decision.