Neurons Lab vs Persistent Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Neurons Lab (4.8/5) edges ahead of Persistent Systems (3.8/5) 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.. Persistent Systems is the stronger option for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. The right choice depends on your project size, budget, and required tech stack.
Neurons Lab vs Persistent Systems: head-to-head summary
| Criterion | Neurons Lab | Persistent Systems |
|---|---|---|
| Founded | 2019 | 1990 |
| HQ | London, United Kingdom | Pune, India |
| Team size | 51–200 | 10,000+ |
| Rating | 4.8 / 5 | 3.8 / 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. | Very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate. |
| Pricing model | Fixed-scope engagements and dedicated team retainers | Managed services and fixed project |
| Min. engagement | $30K | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Azure OpenAI, AWS |
| Industries served | Financial Services, Healthcare, Insurance, Technology/SaaS | Financial Services, Healthcare, Technology/SaaS, Government |
Neurons Lab vs Persistent Systems: 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.
Persistent Systems
Persistent Systems is an Indian multinational technology company founded in 1990 by Anand Deshpande, headquartered in Pune, with roughly 24,600 employees as of March 2025. Its AI/ML offerings, including the Persistent GenAI Hub, sit within a much larger portfolio spanning enterprise software, cloud, and digital engineering services rather than being the company's core specialization.
Services and capabilities: Neurons Lab vs Persistent Systems
| Capability | Neurons Lab | Persistent Systems |
|---|---|---|
| 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 Persistent Systems
| Framework / platform | Neurons Lab | Persistent Systems |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | N/A |
| LangChain | ✓ | N/A |
Pricing comparison: Neurons Lab vs Persistent Systems
| Criterion | Neurons Lab | Persistent Systems |
|---|---|---|
| Minimum engagement | $30K | Not published |
| Engagement models | Fixed project, Dedicated team | Managed services, Fixed project, Staff augmentation |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Enterprise / not published |
Target audience comparison: Neurons Lab vs Persistent Systems
| Dimension | Neurons Lab | Persistent Systems |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Financial Services, Healthcare, Insurance | Financial Services, Healthcare, Technology/SaaS |
| 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 | Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor, Very large, multi-year digital transformation programs where AI is one workstream among many |
| Typical project type | Fixed project | Managed services |
Neurons Lab vs Persistent Systems: 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 |
| Persistent Systems | |
|---|---|
| + | 35 years of operating history and one of the largest headcounts on this list (24,000+) |
| + | AI capability delivered alongside a company's existing broader IT services relationship, reducing vendor sprawl |
| + | 16,000+ AI-trained staff cited internally, suggesting significant AI upskilling investment (per company website) |
| + | Public-company scale supports very large, multi-year enterprise transformation programs |
| - | AI/ML is one offering within a much larger, more generalist IT services portfolio rather than the firm's core focus |
| - | Buyers seeking cutting-edge ML specialization may find deeper expertise at AI-first boutiques on this list |
| - | Very large organization can mean slower response times and more layered account management than smaller firms |
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 Persistent Systems?
Persistent Systems is the right choice for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate..
Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Technology/SaaS, Government.
Decision matrix: Neurons Lab vs Persistent Systems
| 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 | Compare: Neurons Lab ($30K) vs Persistent Systems (Not published) |
| You need specialist depth in a specific vertical | Neurons Lab |
| You need staff augmentation or team extension | Persistent Systems |
| You need consulting before committing to a build | Neurons Lab |
Use case fit: Neurons Lab vs Persistent Systems
| Use case | Neurons Lab fit | Persistent Systems 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 | Limited | Neurons Lab |
| Enterprises already using Persistent for core IT services wanting to add AI/ML from the same vendor | Limited | Strong | Persistent Systems |
| Very large, multi-year digital transformation programs where AI is one workstream among many | Limited | Strong | Persistent Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Neurons Lab vs Persistent Systems
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..
Persistent Systems (3.8/5) is the better choice when very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate.. If your situation matches those criteria, Persistent Systems is a competitive option.
Related comparisons
Neurons Lab vs Persistent Systems FAQ
Is Neurons Lab better than Persistent Systems?
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.. Persistent Systems is better for very large enterprises that want AI/ML delivered by the same vendor already running their broader IT estate..
How do Neurons Lab and Persistent Systems differ in pricing?
Neurons Lab uses fixed-scope engagements and dedicated team retainers pricing with a minimum engagement of $30K. Persistent Systems uses managed services and fixed project pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Neurons Lab or Persistent Systems?
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 agency before shortlisting.
What are the main differences between Neurons Lab and Persistent Systems?
Neurons Lab's primary differentiator is: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.. Persistent Systems's primary differentiator is: enterprise-wide scale (24,000+ employees) supporting ai/ml as part of a full it services portfolio, not a standalone specialty.. They also differ in team size (51–200 vs 10,000+), minimum engagement ($30K vs Not published), and primary industries served (Financial Services, Healthcare vs Financial Services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.