Neurons Lab vs Provectus: full comparison for 2026
Last updated: July 2026
Quick verdict
Neurons Lab (4.8/5) edges ahead of Provectus (4.5/5) overall. Neurons Lab is the better choice for enterprises in financial services or other regulated sectors that need a small, senior team to take an ML/AI system from proof of concept to production.. Provectus is the stronger option for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator.. The right choice depends on your project size, budget, and required tech stack.
Neurons Lab vs Provectus: head-to-head summary
| Criterion | Neurons Lab | Provectus |
|---|---|---|
| Founded | 2019 | 2010 |
| HQ | London, United Kingdom | Palo Alto, California, USA |
| Team size | 51–200 | 501–1,000 |
| Rating | 4.8 / 5 | 4.5 / 5 |
| Best for | Enterprises in financial services or other regulated sectors that need a small, senior team to take an ML/AI system from proof of concept to production. | Mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator. |
| Pricing model | Fixed-scope engagements and dedicated team retainers | Fixed project and dedicated team engagements |
| Min. engagement | $30K | $50K |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, TensorFlow, PyTorch |
| Industries served | Financial Services, Healthcare, Insurance, Technology/SaaS | Retail, Healthcare, Financial Services, Technology/SaaS |
Neurons Lab vs Provectus: overview
Neurons Lab
Neurons Lab is a London-based AI engineering consultancy co-founded in 2019 by Igor Sydorenko and Alex Honchar. The firm is one of roughly 18 companies globally to hold AWS's Advanced Machine Learning Consulting Competence, and concentrates on production-grade AI systems for financial services and other regulated industries. It stays deliberately small and specialist rather than pursuing broad IT-services scale.
Provectus
Provectus is an AI and cloud engineering consultancy founded in 2010 by Stepan Pushkarev, headquartered in Palo Alto with 500–1,000 employees across roughly nine locations. The company positions itself as a mid-market AI-first systems integrator, combining big-data engineering, cloud engineering, and applied ML/AI practices, and holds partner status with major cloud providers (per company website; independently unverifiable exact partnership tier).
Services and capabilities: Neurons Lab vs Provectus
| Capability | Neurons Lab | Provectus |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✓ | ✗ |
| MLOps & production deployment | ✓ | ✓ |
| Data engineering | ✗ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: Neurons Lab vs Provectus
| Framework / platform | Neurons Lab | Provectus |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | N/A |
| LangChain | ✓ | N/A |
Pricing comparison: Neurons Lab vs Provectus
| Criterion | Neurons Lab | Provectus |
|---|---|---|
| Minimum engagement | $30K | $50K |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Neurons Lab vs Provectus
| Dimension | Neurons Lab | Provectus |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Financial Services, Healthcare, Insurance | Retail, Healthcare, Financial Services |
| Best use cases | Building a production fraud-detection or credit-risk model for a bank or fintech, Standing up an AI governance framework alongside a specific ML deployment | Consolidating a fragmented cloud + data + ML stack under one delivery partner, Standing up a big-data platform that feeds downstream ML models |
| Typical project type | Fixed project | Fixed project |
Neurons Lab vs Provectus: pros and cons
| Neurons Lab | |
|---|---|
| + | Rare AWS Advanced ML Consulting Competence signals deep, externally-audited technical depth |
| + | Small senior team means direct access to founders and lead engineers on most engagements |
| + | Strong specialization in regulated-industry AI deployment, including model governance |
| + | Publishes technical case studies with measurable outcomes rather than generic marketing claims |
| - | 51–200 headcount limits capacity for very large, multi-workstream enterprise programs |
| - | Narrower geographic delivery footprint than the large multinational IT firms on this list |
| - | Premium specialist pricing relative to offshore-heavy competitors |
| Provectus | |
|---|---|
| + | 15 years of continuous operation gives a longer delivery track record than most boutiques on this list |
| + | Combines data engineering and MLOps with model development, reducing hand-off friction between teams |
| + | 500–1,000 employee scale supports multiple concurrent enterprise workstreams |
| + | Established cloud-provider relationships support production deployment at scale |
| - | Broader systems-integrator scope means ML-specialist depth is spread across cloud and data-engineering practices rather than singularly focused |
| - | Mid-market pricing and minimums put it out of reach for very small pilot projects |
| - | Public reporting on exact current headcount varies by source (500–1,000 vs. ~700), so buyers should confirm team size directly |
Who should choose Neurons Lab?
Neurons Lab is the right choice for enterprises in financial services or other regulated sectors that need a small, senior team to take an ML/AI system from proof of concept to production..
One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence.. Minimum engagement starts at $30K. Works best with clients in Financial Services, Healthcare, Insurance, Technology/SaaS.
Who should choose Provectus?
Provectus is the right choice for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator..
Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice.. Minimum engagement starts at $50K. Works best with clients in Retail, Healthcare, Financial Services, Technology/SaaS.
Decision matrix: Neurons Lab vs Provectus
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Neurons Lab |
| You need a large dedicated team for an ongoing programme | Neurons Lab |
| Your budget is at the lower end | Neurons Lab |
| You need specialist depth in a specific vertical | Neurons Lab |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Neurons Lab |
Use case fit: Neurons Lab vs Provectus
| Use case | Neurons Lab fit | Provectus fit | Winner |
|---|---|---|---|
| Building a production fraud-detection or credit-risk model for a bank or fintech | Strong | Limited | Neurons Lab |
| Standing up an AI governance framework alongside a specific ML deployment | Strong | Strong | Both equally |
| Consolidating a fragmented cloud + data + ML stack under one delivery partner | Limited | Strong | Provectus |
| Standing up a big-data platform that feeds downstream ML models | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Neurons Lab vs Provectus
Neurons Lab (4.8/5) is the stronger overall choice for most Machine Learning Development projects. One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence.. It is best for enterprises in financial services or other regulated sectors that need a small, senior team to take an ML/AI system from proof of concept to production..
Provectus (4.5/5) is the better choice when mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator.. If your situation matches those criteria, Provectus is a competitive option.
Related comparisons
Neurons Lab vs Provectus FAQ
Is Neurons Lab better than Provectus?
Neurons Lab (4.8/5) scores higher overall, but "better" depends on your use case. Neurons Lab is better for enterprises in financial services or other regulated sectors that need a small, senior team to take an ML/AI system from proof of concept to production.. Provectus is better for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator..
How do Neurons Lab and Provectus differ in pricing?
Neurons Lab uses fixed-scope engagements and dedicated team retainers pricing with a minimum engagement of $30K. Provectus uses fixed project and dedicated team engagements pricing with a minimum engagement of $50K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Neurons Lab or Provectus?
Provectus is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Neurons Lab and Provectus?
Neurons Lab's primary differentiator is: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.. Provectus's primary differentiator is: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.. They also differ in team size (51–200 vs 501–1,000), minimum engagement ($30K vs $50K), and primary industries served (Financial Services, Healthcare vs Retail, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.