Proxify vs Neurons Lab: full comparison for 2026
Quick verdict
Proxify (4.4/5) edges ahead of Neurons Lab (4.3/5) overall. Proxify is the better choice for european companies that want a vetted ML or data engineer on European working hours. Neurons Lab is the stronger option for banks and insurers that need agent or LLM engineers who have worked under financial regulation. The right choice depends on your project size, budget, and required tech stack.
Proxify vs Neurons Lab: head-to-head summary
| Criterion | Proxify | Neurons Lab |
|---|---|---|
| Founded | 2018 | 2019 |
| HQ | Stockholm, Sweden | London, United Kingdom |
| Team size | 5,000+ network members | 50–200 staff; 500+ network |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Primary differentiator | Senior-engineer interviews with live coding after an automated skills test | A 500-engineer network managed by a small AI-only core team in London |
| Pricing model | Hourly rate per developer billed monthly; full-time or part-time; rates on request | Monthly team or per-engineer billing; projects quoted separately; 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 | Financial services, Insurance, Healthcare, Cleantech, Retail |
Proxify vs Neurons Lab: 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.
Neurons Lab
Neurons Lab was founded in London in 2019 and works on AI research, development and consulting. Its own site describes a distributed talent network of more than 500 engineers, which is far larger than the 50 or so people directories list as staff. That network model lets it add ML, LLM and agent engineers to client teams without hiring each one first. It names banks and insurers among its clients and holds an AWS generative AI competency. The firm also works in healthtech and cleantech.
Services and capabilities: Proxify vs Neurons Lab
| Capability | Proxify | Neurons Lab |
|---|---|---|
| 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 Neurons Lab
| Framework / platform | Proxify | Neurons Lab |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | ✓ |
| Hugging Face | 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 Neurons Lab
| Criterion | Proxify | Neurons Lab |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Fractional expert, Freelance contract | Dedicated engineer, Fractional expert, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Proxify vs Neurons Lab
| Dimension | Proxify | Neurons Lab |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | Financial services, Insurance, Healthcare |
| Best use cases | Adding a data engineer to a European fintech's analytics team, Hiring a Python ML developer for a recommender system | Adding an agent engineer to an insurer's claims automation project, Bringing in a RAG specialist for a bank's internal knowledge assistant |
| Typical project type | Dedicated engineer | Dedicated engineer |
Proxify vs Neurons Lab: 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 |
| Neurons Lab | |
|---|---|
| + | Strong references in banking and insurance |
| + | AWS generative AI competency is useful for Bedrock projects |
| + | Network model makes part-time specialists easier to arrange |
| - | Most engineers are network members, not employees, so continuity varies |
| - | Headcount estimates range from 11 to 200 |
| - | Staff augmentation is not described as a separate product |
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 Neurons Lab?
A typical fit: adding an agent engineer to an insurer's claims automation project.
A 500-engineer network managed by a small AI-only core team in London. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Healthcare, Cleantech, Retail.
Decision matrix: Proxify vs Neurons Lab
| 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 | Both; Proxify rates higher overall |
| 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 Neurons Lab (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 Neurons Lab
| Use case | Proxify fit | Neurons Lab 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 |
| Adding an agent engineer to an insurer's claims automation project | Strong | Strong | Both equally |
| Bringing in a RAG specialist for a bank's internal knowledge assistant | Limited | Strong | Neurons Lab |
Verdict: Proxify vs Neurons Lab
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.
Neurons Lab (4.3/5) is worth a look if you need bringing in a RAG specialist for a bank's internal knowledge assistant. If your situation matches that, Neurons Lab is a competitive option.
Related comparisons
Proxify vs Neurons Lab FAQ
Is Proxify better than Neurons Lab?
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. Neurons Lab's strongest advantage: strong references in banking and insurance.
How do Proxify and Neurons Lab differ in pricing?
Proxify uses hourly rate per developer billed monthly; full-time or part-time; rates on request pricing. Neurons Lab uses monthly team or per-engineer billing; projects quoted separately; 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 Neurons Lab?
Neurons Lab 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 Neurons Lab?
Proxify's primary differentiator is: senior-engineer interviews with live coding after an automated skills test. Neurons Lab's primary differentiator is: a 500-engineer network managed by a small AI-only core team in London. They also differ in team size (5,000+ network members vs 50–200 staff; 500+ network), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Financial services, Insurance).
Verify all details directly with each company before making a decision.