Neurons Lab vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Neurons Lab (4.6/5) edges ahead of Addepto (4.4/5) overall. Neurons Lab is the better choice for financial services firms wanting a boutique, engineering-led partner for production-grade AI rather than a strategy-only advisory engagement.. Addepto is the stronger option for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. The right choice depends on your project size, budget, and required tech stack.
Neurons Lab vs Addepto: head-to-head summary
| Criterion | Neurons Lab | Addepto |
|---|---|---|
| Founded | 2019 | 2018 |
| HQ | Distributed, Europe | Warsaw, Poland |
| Team size | 51–200 | 51–200 |
| Rating | 4.6 / 5 | 4.4 / 5 |
| Best for | Financial services firms wanting a boutique, engineering-led partner for production-grade AI rather than a strategy-only advisory engagement. | Cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build. |
| Pricing model | Not published; project and retainer engagements | Project-based |
| Min. engagement | Not published | $10,000 |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) |
| Industries served | Financial services, Enterprise (cross-industry) | Finance, Healthcare, Retail |
Neurons Lab vs Addepto: overview
Neurons Lab
Neurons Lab is a boutique AI consultancy founded in 2019 that positions itself as an engineering partner rather than a strategy-only advisor, taking clients from use-case definition through production deployment and ongoing delivery. The company reports more than 50 AI engineers, architects, and analysts distributed across Europe rather than operating from a single headquarters. It states it has completed over 100 AI implementations since founding, including work with Fortune 500 organizations (per company website; independently unverifiable). Its practice concentrates on financial services alongside broader enterprise AI adoption work.
Addepto
Addepto is a Poland-based AI consulting firm founded in 2018 by Artur Haponik and Edwin Lisowski that focuses specifically on machine learning consulting, MLOps consulting, and data/analytics advisory work rather than broader software development. The company has around 52 employees and holds a 4.7 Clutch rating, with Clutch-reported project costs typically in the $10,000–$49,000 range, making it one of the more budget-accessible options among firms in this category. Addepto has been recognized among Forbes' top AI consulting companies and appeared on the Deloitte Technology Fast 500 EMEA list, citing 1,193 percent revenue growth over the qualifying period. In December 2025, Addepto was acquired by KMS Technology, a US-based digital engineering, data, and AI company backed by growth private equity firm Sunstone Partners; Addepto now operates as an integrated division rather than as a fully independent company.
Services and capabilities: Neurons Lab vs Addepto
| Capability | Neurons Lab | Addepto |
|---|---|---|
| Custom model training | ✓ | ✓ |
| Fine-tuning & adaptation | ✓ | ✗ |
| MLOps pipeline | ✓ | ✓ |
| Model deployment & serving | ✓ | ✗ |
| Data engineering for ML | ✗ | ✓ |
| ML infrastructure management | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| NLP & LLM development | ✗ | ✗ |
| Forecasting & time-series modeling | ✗ | ✗ |
| ML strategy consulting | ✓ | ✓ |
Tech stack comparison: Neurons Lab vs Addepto
| Framework / platform | Neurons Lab | Addepto |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| MLflow | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: Neurons Lab vs Addepto
| Criterion | Neurons Lab | Addepto |
|---|---|---|
| Minimum engagement | Not published | $10,000 |
| Engagement models | Project-based, Dedicated team, Retainer | Fixed project, Advisory/consulting retainer |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Neurons Lab vs Addepto
| Dimension | Neurons Lab | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Enterprise (cross-industry) | Finance, Healthcare, Retail |
| Best use cases | Building production-grade fraud or risk-scoring models for a financial services firm, Taking an internal AI proof-of-concept from prototype to a continuously monitored production service | Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot |
| Typical project type | Project-based | Fixed project |
Neurons Lab vs Addepto: pros and cons
| Neurons Lab | |
|---|---|
| + | Engineering-first positioning, differentiating from pure strategy consultancies. |
| + | Stated Fortune 500 client experience and 100+ completed implementations since 2019. |
| + | Distributed European team offers timezone flexibility for EU and UK clients. |
| + | Focused financial-services vertical depth rather than spreading thin across many industries. |
| - | No single headquarters makes on-site/in-person engagement models harder to arrange. |
| - | Named client list and case study depth are not independently verifiable beyond company claims. |
| - | Team size (50+) caps capacity for very large concurrent enterprise programs. |
| - | Pricing and minimum engagement are not published, requiring a sales conversation to scope cost. |
| Addepto | |
|---|---|
| + | 4.7 Clutch rating with lower typical project cost ($10K–$49K) than most peers in this comparison. |
| + | Named a top 10 AI consulting company by Forbes. |
| + | Deloitte Technology Fast 500 EMEA recognition (#143) signals strong recent revenue growth. |
| + | Focused specifically on ML/MLOps consulting rather than diluting attention across general software development. |
| - | Small team (~52 employees) caps capacity for large or multiple concurrent enterprise engagements. |
| - | Lower typical project size may signal a fit for smaller-scope work rather than large production ML platforms. |
| - | Public case studies with named enterprise clients are limited in available sources. |
| - | Now part of KMS Technology following the December 2025 acquisition, introducing near-term integration and roadmap uncertainty for prospective clients. |
Who should choose Neurons Lab?
Neurons Lab is the right choice for financial services firms wanting a boutique, engineering-led partner for production-grade AI rather than a strategy-only advisory engagement..
End-to-end delivery model from use-case scoping to continuous production support, with declared depth in financial services.. Minimum engagement starts at Not published. Works best with clients in Financial services, Enterprise (cross-industry).
Who should choose Addepto?
Addepto is the right choice for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..
Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. Minimum engagement starts at $10,000. Works best with clients in Finance, Healthcare, Retail.
Decision matrix: Neurons Lab vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Addepto |
| You need a large dedicated team for an ongoing programme | Neurons Lab |
| Your budget is at the lower end | Compare: Neurons Lab (Not published) vs Addepto ($10,000) |
| You need specialist depth in a specific vertical | Addepto |
| 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 Addepto
| Use case | Neurons Lab fit | Addepto fit | Winner |
|---|---|---|---|
| Building production-grade fraud or risk-scoring models for a financial services firm | Strong | Limited | Neurons Lab |
| Taking an internal AI proof-of-concept from prototype to a continuously monitored production service | Strong | Limited | Neurons Lab |
| Auditing an existing ML pipeline and recommending MLOps improvements | Limited | Strong | Addepto |
| Running a well-scoped, budget-constrained machine learning pilot | Limited | Strong | Addepto |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Strong | Strong | Both equally |
Verdict: Neurons Lab vs Addepto
Neurons Lab (4.6/5) is the stronger overall choice for most ML Model Development projects. End-to-end delivery model from use-case scoping to continuous production support, with declared depth in financial services.. It is best for financial services firms wanting a boutique, engineering-led partner for production-grade AI rather than a strategy-only advisory engagement..
Addepto (4.4/5) is the better choice when cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
Neurons Lab vs Addepto FAQ
Is Neurons Lab better than Addepto?
Neurons Lab (4.6/5) scores higher overall, but "better" depends on your use case. Neurons Lab is better for financial services firms wanting a boutique, engineering-led partner for production-grade AI rather than a strategy-only advisory engagement.. Addepto is better for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..
How do Neurons Lab and Addepto differ in pricing?
Neurons Lab uses not published; project and retainer engagements pricing with a minimum engagement of Not published. Addepto uses project-based pricing with a minimum engagement of $10,000. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Neurons Lab or Addepto?
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 Neurons Lab and Addepto?
Neurons Lab's primary differentiator is: end-to-end delivery model from use-case scoping to continuous production support, with declared depth in financial services.. Addepto's primary differentiator is: dedicated mlops-consulting service line and clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. They also differ in team size (51–200 vs 51–200), minimum engagement (Not published vs $10,000), and primary industries served (Financial services, Enterprise (cross-industry) vs Finance, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.