Top AI Integration Companies

Neurons Lab vs Addepto: full comparison for 2026

Quick verdict

Neurons Lab (4.5/5) edges ahead of Addepto (4.3/5) overall. Neurons Lab is the better choice for banks and insurers piloting agentic AI under regulation. Addepto is the stronger option for data teams needing warehouse work before an LLM project. 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, UK Warsaw, Poland
Team size 51–200 50–249
Rating 4.5 / 5 4.3 / 5
Primary differentiator Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored
Pricing model Fixed-price discovery and proof of concept, then T&M; rates on request $50–$99/hr (Clutch band); discovery workshops, then T&M
Min. engagement Not disclosed $10,000+ (Clutch)
Primary tech stack AWS Bedrock, Amazon SageMaker, LangChain Databricks, Snowflake, Azure OpenAI
Industries served Financial services, Insurance, Healthcare, Public sector Manufacturing, Retail & e-commerce, Aviation, Financial services

Neurons Lab vs Addepto: overview

Neurons Lab

Neurons Lab is an AI-first consultancy incorporated in London in October 2019, with a second office in Singapore and a distributed engineering team. It is an AWS Advanced Tier Services Partner with the Generative AI competency and joined the AWS Public Sector Partner programme in September 2024. Recent published work leans toward financial services, including an AI-driven investment product built with a global asset manager. Third-party estimates put direct headcount at roughly 50–200, supplemented by a contractor network.

Addepto

Addepto is a Warsaw-based AI and data consultancy that started trading in April 2018 (some directories list 2017). Clutch shows 50–249 employees, a $50–$99 hourly band and a $10,000 minimum project. CB Insights reports that KMS Technology acquired the company in December 2025, after an earlier tie-up with Grape Up. Its work typically begins with data engineering and moves on to generative AI, MLOps and AI discovery workshops.

Services and capabilities: Neurons Lab vs Addepto

Capability Neurons Lab Addepto
CRM / ERP integration ✗ ✗
LLM API gateway & cost control ✓ ✓
Document processing ✗ ✗
Agentic workflows ✓ ✗
Fixed-price pilot ✓ ✗
Managed services after launch ✗ ✗
PII masking & access control ✓ ✗

Tech stack comparison: Neurons Lab vs Addepto

Framework / platform Neurons Lab Addepto
Salesforce N/A N/A
SAP N/A N/A
Microsoft Dynamics 365 N/A N/A
HubSpot N/A N/A
Snowflake N/A ✓
Databricks N/A ✓
Azure OpenAI N/A ✓
AWS Bedrock ✓ N/A
LangChain ✓ ✓
ServiceNow N/A N/A

Pricing comparison: Neurons Lab vs Addepto

Criterion Neurons Lab Addepto
Minimum engagement Not disclosed $10,000+ (Clutch)
Engagement models Fixed-scope audit or pilot, Time & materials Fixed project, Time & materials
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, Insurance, Healthcare Manufacturing, Retail & e-commerce, Aviation
Best use cases Research or advisory agents for an asset manager that pull from internal and market data., Customer-service agents for an insurer with audit logging on every action. Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring.
Typical project type Fixed-scope audit or pilot Fixed project

Neurons Lab vs Addepto: pros and cons

Neurons Lab
+ Regulated-finance experience shows up in how it scopes data access and model risk
+ Fixed-price discovery and proof-of-concept stages limit early spend
+ AWS Advanced Tier and GenAI competency are confirmed through AWS programmes
+ Small senior teams with direct access to founders
- Not yet AWS Premier Tier, and its own job ads have described that as a future goal
- Weaker fit for Azure- or SAP-heavy estates
- A small core team relies on a contractor network for larger programmes
Addepto
+ Publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward
+ Databricks and Spark experience helps when the data estate is the real blocker
+ Discovery workshops scope use cases before larger spend
+ Predictive analytics and LLM work available from the same team
- Acquired by KMS Technology in December 2025 (per CB Insights), so ownership and leadership may change
- Corporate history includes several restructurings, which complicates long-term vendor planning
- Limited published work inside CRM platforms

Who should choose Neurons Lab?

A typical fit: research or advisory agents for an asset manager that pull from internal and market data.

Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Healthcare, Public sector.

Who should choose Addepto?

A typical fit: building a Databricks lakehouse that later feeds demand forecasts and an internal assistant.

Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Retail & e-commerce, Aviation, Financial services.

Decision matrix: Neurons Lab vs Addepto

Your situation Recommended choice
You want a fixed-price audit or pilot before committing Neurons Lab
AI has to work inside your existing CRM or ERP Neither lists CRM/ERP integration work
Personal data must be masked and answers limited by user permissions Neurons Lab
Your budget is at the lower end Compare: Neurons Lab (Not disclosed) vs Addepto ($10,000+ (Clutch))
You want the vendor to run the AI service after launch Neither offers managed services; plan in-house operations
You are building multi-step agents across systems Neurons Lab

Use case fit: Neurons Lab vs Addepto

Use case Neurons Lab fit Addepto fit Winner
Research or advisory agents for an asset manager that pull from internal and market data. Strong Limited Neurons Lab
Customer-service agents for an insurer with audit logging on every action. Strong Limited Neurons Lab
Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant. Limited Strong Addepto
Productionizing ML models with MLflow and monitoring. Limited Strong Addepto

Verdict: Neurons Lab vs Addepto

Neurons Lab (4.5/5) is the stronger overall choice for most AI Integration projects. Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation.

Addepto (4.3/5) is worth a look if you need productionizing ML models with MLflow and monitoring. If your situation matches that, Addepto is a competitive option.

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Neurons Lab vs Addepto FAQ

Is Neurons Lab better than Addepto?

Neurons Lab (4.5/5) scores higher overall, but "better" depends on your use case. Neurons Lab's strongest advantage: regulated-finance experience shows up in how it scopes data access and model risk. Addepto's strongest advantage: publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward.

How do Neurons Lab and Addepto differ in pricing?

Neurons Lab pricing: Fixed-price discovery and proof of concept, then T&M; rates on request. Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). 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: financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation. Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. They also differ in team size (51–200 vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Financial services, Insurance vs Manufacturing, Retail & e-commerce).

Verify all details directly with each company before making a decision.