Neurons Lab vs deepsense.ai: full comparison for 2026
Quick verdict
Neurons Lab (4.2/5) edges ahead of deepsense.ai (3.9/5) overall. Neurons Lab is the better choice for banks and insurers building AI on AWS. deepsense.ai is the stronger option for technical teams wanting AI strategy from model builders. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
Neurons Lab vs deepsense.ai: head-to-head summary
| Criterion | Neurons Lab | deepsense.ai |
|---|---|---|
| Founded | 2019 | 2014 |
| HQ | London, UK | Warsaw, Poland |
| Team size | 50–100 | 120+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | Financial-services AI strategy from an AWS Machine Learning Competency partner that builds the prototypes | Strategy workshops run by engineers who build vision and language models |
| Pricing model | Project fees; rates not published | $100–$149/hr (Clutch band); project-based |
| Min. engagement | $100,000+ (Clutch) | $25,000+ (Clutch) |
| Primary tech stack | AWS, Amazon Bedrock, Amazon SageMaker | Python, PyTorch, AWS |
| Industries served | Banking, Insurance, Wealth management, Fintech, Healthcare | Retail, Manufacturing, Financial services, Healthcare, Media |
Neurons Lab vs deepsense.ai: overview
Neurons Lab
Neurons Lab was founded in London in 2019 and has roughly 50 to 100 staff, topped up by a wider network of contract engineers. It is an AWS Advanced Partner with the Machine Learning Competency and works mainly for banks, insurers, and wealth managers. Strategy here means AI discovery and roadmap work that hands straight into prototypes on AWS. Clutch lists a $100,000+ minimum project, high for a firm this size and a sign that it aims at established financial companies.
deepsense.ai
deepsense.ai was founded in 2014 in Warsaw and has an office in Palo Alto, with about 120 AI specialists, several of them Kaggle competition winners (per company website; independently unverifiable). It sells AI strategy consulting and workshops, though most of its work is engineering: computer vision, language models, and predictive systems. Clutch lists rates of $100–$149 an hour and a $25,000+ minimum project. That puts it at the top end for a Central European firm.
Services and capabilities: Neurons Lab vs deepsense.ai
| Capability | Neurons Lab | deepsense.ai |
|---|---|---|
| Readiness assessment | ✗ | ✗ |
| Use-case prioritization | ✓ | ✓ |
| TCO / ROI modeling | ✗ | ✗ |
| AI governance & EU AI Act | ✓ | ✗ |
| Build vs. buy advice | ✓ | ✗ |
| Audit of live AI programs | ✗ | ✗ |
| Change management | ✗ | ✗ |
| Can build what it recommends | ✓ | ✓ |
Frameworks and platforms: Neurons Lab vs deepsense.ai
| Framework / platform | Neurons Lab | deepsense.ai |
|---|---|---|
| EU AI Act | N/A | N/A |
| GDPR | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | ✓ |
| Databricks | N/A | N/A |
| Snowflake | N/A | N/A |
Pricing comparison: Neurons Lab vs deepsense.ai
| Criterion | Neurons Lab | deepsense.ai |
|---|---|---|
| Minimum engagement | $100,000+ (Clutch) | $25,000+ (Clutch) |
| Engagement models | Strategy & roadmap engagement, Delivery team | Strategy & roadmap engagement, Delivery team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Neurons Lab vs deepsense.ai
| Dimension | Neurons Lab | deepsense.ai |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Banking, Insurance, Wealth management | Retail, Manufacturing, Financial services |
| Best use cases | AI roadmaps for a bank or insurer that already runs on AWS., Generative AI assistants for wealth advisers and relationship managers. | Workshops to pick a first computer vision or language model project., Technical feasibility reviews for an AI product idea. |
| Typical project type | Strategy & roadmap engagement | Strategy & roadmap engagement |
Neurons Lab vs deepsense.ai: pros and cons
| Neurons Lab | |
|---|---|
| + | Focus on banks, insurers, and wealth managers means less time explaining regulated-industry basics |
| + | AWS Machine Learning Competency is checked by AWS, so the engineering claim has outside validation |
| + | Discovery work moves into a working prototype quickly |
| + | Senior people do most of the work on a team this small |
| - | A small core team, so large multi-country programs would stretch it |
| - | Closely tied to AWS, which matters if your data lives on Azure or Google Cloud |
| - | A Clutch minimum of $100,000+ is steep for a first strategy engagement |
| deepsense.ai | |
|---|---|
| + | Workshops are run by people who build models, so feasibility advice is concrete |
| + | Strong research background in computer vision and language models |
| + | Offers AI training for client teams |
| + | Published Clutch rates make budgeting easier |
| - | Strategy is a small part of an engineering-led business |
| - | Higher Clutch rate band than most Polish peers |
| - | No change-management practice |
Who should choose Neurons Lab?
A typical fit: AI roadmaps for a bank or insurer that already runs on AWS.
Financial-services AI strategy from an AWS Machine Learning Competency partner that builds the prototypes. Minimum engagement starts at $100,000+ (Clutch). Works best with clients in Banking, Insurance, Wealth management, Fintech, Healthcare.
Who should choose deepsense.ai?
A typical fit: workshops to pick a first computer vision or language model project.
Strategy workshops run by engineers who build vision and language models. Minimum engagement starts at $25,000+ (Clutch). Works best with clients in Retail, Manufacturing, Financial services, Healthcare, Media.
Decision matrix: Neurons Lab vs deepsense.ai
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Neither lists cost modeling; ask for a sample roadmap |
| You already run AI that is missing its targets | Neither offers a separate audit; ask for a scoped review |
| Regulators will ask how each AI system is governed | Neurons Lab |
| AI will change roles and processes for many staff | Neither; plan change management separately |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | deepsense.ai |
| You need a large team across many countries | deepsense.ai |
Use case fit: Neurons Lab vs deepsense.ai
| Use case | Neurons Lab fit | deepsense.ai fit | Winner |
|---|---|---|---|
| AI roadmaps for a bank or insurer that already runs on AWS. | Strong | Limited | Neurons Lab |
| Generative AI assistants for wealth advisers and relationship managers. | Strong | Limited | Neurons Lab |
| Workshops to pick a first computer vision or language model project. | Limited | Strong | deepsense.ai |
| Technical feasibility reviews for an AI product idea. | Limited | Strong | deepsense.ai |
Verdict: Neurons Lab vs deepsense.ai
Neurons Lab (4.2/5) is the stronger overall choice for most AI Strategy Consulting projects. Financial-services AI strategy from an AWS Machine Learning Competency partner that builds the prototypes.
deepsense.ai (3.9/5) is worth a look if you need technical feasibility reviews for an AI product idea. If your situation matches that, deepsense.ai is a competitive option.
Related comparisons
Neurons Lab vs deepsense.ai FAQ
Is Neurons Lab better than deepsense.ai?
Neurons Lab (4.2/5) scores higher overall, but "better" depends on your use case. Neurons Lab's strongest advantage: focus on banks, insurers, and wealth managers means less time explaining regulated-industry basics. deepsense.ai's strongest advantage: workshops are run by people who build models, so feasibility advice is concrete.
How do Neurons Lab and deepsense.ai differ in pricing?
Neurons Lab's pricing: project fees; rates not published with a minimum engagement of $100,000+ (Clutch). deepsense.ai's pricing: $100–$149/hr (Clutch band); project-based with a minimum engagement of $25,000+ (Clutch). Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Neurons Lab or deepsense.ai?
deepsense.ai is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultant before shortlisting.
What are the main differences between Neurons Lab and deepsense.ai?
Neurons Lab's primary differentiator is: financial-services AI strategy from an AWS Machine Learning Competency partner that builds the prototypes. deepsense.ai's primary differentiator is: strategy workshops run by engineers who build vision and language models. They also differ in team size (50–100 vs 120+), minimum engagement ($100,000+ (Clutch) vs $25,000+ (Clutch)), and primary industries served (Banking, Insurance vs Retail, Manufacturing).
Verify all details directly with each consultant before making a decision.