Neurons Lab vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Neurons Lab (4.9/5) edges ahead of Addepto (4.3/5) overall. Neurons Lab is the better choice for enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool.. Addepto is the stronger option for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. 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 | London, United Kingdom | Warsaw, Poland |
| Team size | 51–200 | 50–100 |
| Rating | 4.9 / 5 | 4.3 / 5 |
| Best for | Enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool. | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. |
| Pricing model | Time & materials, fixed-scope advisory sprints | Project-based, consulting retainer |
| Min. engagement | Not published | Not published |
| Primary tech stack | PyTorch, Hugging Face, LangChain | Python, TensorFlow, AWS |
| Industries served | FinTech, Healthcare, Manufacturing, Media & Entertainment, Insurance | FinTech, Manufacturing, Retail & E-commerce |
Neurons Lab vs Addepto: overview
Neurons Lab
Neurons Lab is an AI consultancy co-founded in 2019 by Igor Sydorenko and Alex Honchar, headquartered in London. The firm runs end-to-end engagements — from identifying high-impact AI applications through integration and scaling — and reports more than one hundred AI implementations since founding, including work for Fortune 500 firms (per company website; independently unverifiable). Its small, senior-heavy team structure keeps engagements tightly scoped rather than staffed with junior benches.
Addepto
Addepto was founded in Warsaw in 2018 by Data Science enthusiasts Edwin Lisowski and Artur Haponik, delivering AI consulting and data-driven solutions recognized by Forbes, Deloitte, and the Financial Times. In December 2025, Addepto was acquired by KMS Technology, and prospective clients should confirm how delivery teams, pricing, and leadership continuity have changed post-acquisition. Reported employee counts vary from roughly 11–50 to 72, reflecting the transition period around the acquisition.
Services and capabilities: Neurons Lab vs Addepto
| Capability | Neurons Lab | Addepto |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
Tech stack comparison: Neurons Lab vs Addepto
| Framework / platform | Neurons Lab | Addepto |
|---|---|---|
| TensorFlow | N/A | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Neurons Lab vs Addepto
| Criterion | Neurons Lab | Addepto |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed-scope advisory, Dedicated team, Retainer | Project-based, Consulting retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Neurons Lab vs Addepto
| Dimension | Neurons Lab | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Manufacturing | FinTech, Manufacturing, Retail & E-commerce |
| Best use cases | Enterprise wants an outside technical opinion before committing budget to an AI initiative., Mid-market company needs a senior AI team to take a use case from prototype to production. | Company wants an AI consultancy with independent press recognition for vendor due diligence., Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. |
| Typical project type | Fixed-scope advisory | Project-based |
Neurons Lab vs Addepto: pros and cons
| Neurons Lab | |
|---|---|
| + | Founders are practicing ML engineers (CTO is a published deep learning author), so scoping conversations are technically grounded. |
| + | Small team size means senior staff stay on the engagement instead of rotating off after the pitch. |
| + | Track record spans over 100 AI implementations across regulated and non-regulated sectors since 2019. |
| + | Advisory-first model reduces the risk of over-building before validating an AI use case. |
| - | 51–200 headcount caps how many concurrent enterprise engagements the firm can run. |
| - | No public case study library with quantified before/after metrics — most proof points are narrative. |
| - | Not a fit for teams that need large-scale staff augmentation rather than a scoped advisory engagement. |
| Addepto | |
|---|---|
| + | Press recognition from Forbes, Deloitte, and the Financial Times provides independent third-party validation beyond client testimonials. |
| + | Founder-led AI consulting model since 2018, prior to being acquired. |
| + | Now backed by KMS Technology's broader resources post-acquisition, which may add delivery capacity. |
| - | Acquired by KMS Technology in December 2025 — leadership continuity, pricing, and delivery-team stability during integration are unconfirmed. |
| - | Reported headcount varies significantly across sources (11–50 vs. 72), making current team size hard to pin down. |
| - | Recent acquisition means the company's standalone track record may not reflect how engagements are run going forward. |
Who should choose Neurons Lab?
Neurons Lab is the right choice for enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool..
Founder-led AI strategy-to-production consultancy with no junior-heavy delivery layer.. Minimum engagement starts at Not published. Works best with clients in FinTech, Healthcare, Manufacturing, Media & Entertainment, Insurance.
Who should choose Addepto?
Addepto is the right choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. Minimum engagement starts at Not published. Works best with clients in FinTech, Manufacturing, Retail & E-commerce.
Decision matrix: Neurons Lab vs Addepto
| 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 (Not published) vs Addepto (Not published) |
| You need specialist depth in a specific vertical | Neurons Lab |
| You need production MLOps support after model launch | Neurons Lab |
| 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 |
|---|---|---|---|
| Enterprise wants an outside technical opinion before committing budget to an AI initiative. | Strong | Limited | Neurons Lab |
| Mid-market company needs a senior AI team to take a use case from prototype to production. | Strong | Limited | Neurons Lab |
| Company wants an AI consultancy with independent press recognition for vendor due diligence. | Strong | Strong | Both equally |
| Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. | Limited | Strong | Addepto |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Neurons Lab vs Addepto
Neurons Lab (4.9/5) is the stronger overall choice for most Machine Learning Development projects. Founder-led AI strategy-to-production consultancy with no junior-heavy delivery layer.. It is best for enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool..
Addepto (4.3/5) is the better choice when companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. 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 (4.9/5) scores higher overall, but "better" depends on your use case. Neurons Lab is better for enterprises that need a senior AI advisory team to scope and ship a production ML system, not a staffing pool.. Addepto is better for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
How do Neurons Lab and Addepto differ in pricing?
Neurons Lab uses time & materials, fixed-scope advisory sprints pricing with a minimum engagement of Not published. Addepto uses project-based, consulting retainer 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 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: founder-led ai strategy-to-production consultancy with no junior-heavy delivery layer.. Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. They also differ in team size (51–200 vs 50–100), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Healthcare vs FinTech, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.