Neurons Lab vs Addepto: full comparison for 2026
Quick verdict
Neurons Lab (4.3/5) edges ahead of Addepto (4.0/5) overall. Neurons Lab is the better choice for banks and insurers that need agent or LLM engineers who have worked under financial regulation. Addepto is the stronger option for industrial and automotive companies that need data engineers who know factory data. 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 | 2017 |
| HQ | London, United Kingdom | Warsaw, Poland |
| Team size | 50–200 staff; 500+ network | 50–249 |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | A 500-engineer network managed by a small AI-only core team in London | Data and ML engineers with industrial and automotive client history |
| Pricing model | Monthly team or per-engineer billing; projects quoted separately; rates on request | Monthly per engineer or project fee; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, LangChain | Python, Databricks, Spark |
| Industries served | Financial services, Insurance, Healthcare, Cleantech, Retail | Manufacturing, Automotive, Aviation, Retail, Logistics |
Neurons Lab vs Addepto: overview
Neurons Lab
Neurons Lab was founded in London in 2019 and works on AI research, development and consulting. Its own site describes a distributed talent network of more than 500 engineers, which is far larger than the 50 or so people directories list as staff. That network model lets it add ML, LLM and agent engineers to client teams without hiring each one first. It names banks and insurers among its clients and holds an AWS generative AI competency. The firm also works in healthtech and cleantech.
Addepto
Addepto was founded in Warsaw in 2017 and works on AI, ML and data engineering, mostly for industrial and automotive clients. KMS Technology acquired it in December 2025, so it now sits inside a larger U.S.-based IT group. Addepto supplies data and ML engineers for team extension as well as running projects. The acquisition may widen its bench over time, but buyers should expect changes to contracts and account management as the integration proceeds.
Services and capabilities: Neurons Lab vs Addepto
| Capability | Neurons Lab | Addepto |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✓ |
| AI agent developers | ✓ | ✗ |
| MLOps engineers | ✗ | ✗ |
| Computer vision engineers | ✗ | ✗ |
| NLP engineers | ✗ | ✗ |
| Data engineers | ✗ | ✓ |
| Engineer-led technical screen | ✗ | ✗ |
| Fractional / part-time experts | ✓ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
| Direct hire option | ✗ | ✗ |
Tech stack comparison: Neurons Lab vs Addepto
| Framework / platform | Neurons Lab | Addepto |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| Databricks | 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 | Dedicated engineer, Fractional expert, Project delivery | Dedicated engineer, Dedicated team, Project delivery |
| 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 | Financial services, Insurance, Healthcare | Manufacturing, Automotive, Aviation |
| Best use cases | Adding an agent engineer to an insurer's claims automation project, Bringing in a RAG specialist for a bank's internal knowledge assistant | Adding a data engineer to an automotive analytics platform, Building a predictive maintenance model with a two-person team |
| Typical project type | Dedicated engineer | Dedicated engineer |
Neurons Lab vs Addepto: pros and cons
| Neurons Lab | |
|---|---|
| + | Strong references in banking and insurance |
| + | AWS generative AI competency is useful for Bedrock projects |
| + | Network model makes part-time specialists easier to arrange |
| - | Most engineers are network members, not employees, so continuity varies |
| - | Headcount estimates range from 11 to 200 |
| - | Staff augmentation is not described as a separate product |
| Addepto | |
|---|---|
| + | Strong data engineering on Databricks and Azure |
| + | Industrial and automotive references |
| + | Backing from a larger group may add capacity |
| - | Acquired by KMS Technology in December 2025, so terms and contacts may change |
| - | Fewer computer-vision and NLP specialists than AI-research firms |
| - | Staffing evidence is thinner than its project work |
Who should choose Neurons Lab?
A typical fit: adding an agent engineer to an insurer's claims automation project.
A 500-engineer network managed by a small AI-only core team in London. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Healthcare, Cleantech, Retail.
Who should choose Addepto?
A typical fit: adding a data engineer to an automotive analytics platform.
Data and ML engineers with industrial and automotive client history. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Automotive, Aviation, Retail, Logistics.
Decision matrix: Neurons Lab vs Addepto
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Neither documents an engineer-led screen; run your own technical interview |
| You need one specialist for a few days a week | Neurons Lab |
| You need several engineers working as one team | Both; Neurons Lab rates higher overall |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: Neurons Lab (Not published) vs Addepto (Not published) |
| Your team works U.S. hours | Neither lists Latin American engineers; confirm overlap hours in the contract |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
Use case fit: Neurons Lab vs Addepto
| Use case | Neurons Lab fit | Addepto fit | Winner |
|---|---|---|---|
| Adding an agent engineer to an insurer's claims automation project | Strong | Strong | Both equally |
| Bringing in a RAG specialist for a bank's internal knowledge assistant | Strong | Limited | Neurons Lab |
| Adding a data engineer to an automotive analytics platform | Strong | Strong | Both equally |
| Building a predictive maintenance model with a two-person team | Limited | Strong | Addepto |
Verdict: Neurons Lab vs Addepto
Neurons Lab (4.3/5) is the stronger overall choice for most AI Engineer Staffing projects. A 500-engineer network managed by a small AI-only core team in London.
Addepto (4.0/5) is worth a look if you need building a predictive maintenance model with a two-person team. If your situation matches that, Addepto is a competitive option.
Related comparisons
Neurons Lab vs Addepto FAQ
Is Neurons Lab better than Addepto?
Neurons Lab (4.3/5) scores higher overall, but "better" depends on your use case. Neurons Lab's strongest advantage: strong references in banking and insurance. Addepto's strongest advantage: strong data engineering on Databricks and Azure.
How do Neurons Lab and Addepto differ in pricing?
Neurons Lab uses monthly team or per-engineer billing; projects quoted separately; rates on request pricing. Addepto uses monthly per engineer or project fee; rates on request pricing. 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: a 500-engineer network managed by a small AI-only core team in London. Addepto's primary differentiator is: data and ML engineers with industrial and automotive client history. They also differ in team size (50–200 staff; 500+ network vs 50–249), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Insurance vs Manufacturing, Automotive).
Verify all details directly with each company before making a decision.