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Amsterdam Data Collective

Amsterdam, Netherlands

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About

Amsterdam Data Collective is a data and AI consultancy working across financial services, healthcare and the public sector, pairing analytics engineering with decision-science work.

Who They Work With

Regulated institutions and retailers with a pricing, risk or monitoring problem that can be measured.

Clients:EnterpriseB2BB2C

Based on 2 documented clients · verified Aug 2026

Our Take

Thirteen published cases, and the strongest are the ones where a wrong answer costs money: a transaction-monitoring framework built to cut false positives, markdown optimization for a major apparel retailer reporting 5-10% revenue growth in three months, and pricing transformation at Hunkemöller.

The European Central Bank engagement—datasets for model monitoring and credit-risk redevelopment—is the credential that is hard to acquire and easy to verify.

A good share of the library is data strategy, dashboards and BI rather than AI, so read the case list before assuming the whole practice is modeling.

Best for regulated and retail organizations with a pricing, risk or monitoring problem that has a measurable right answer.

Key strengths

  • Published revenue outcomes on pricing work, with the measurement window stated rather than implied
  • Central-bank risk-data experience, which travels directly to any supervised institution
  • Sector range covers financial services, healthcare, public sector and retail with cases in each

Good to know

  • Roughly half the published cases are BI and data-platform work—confirm your project is the AI kind
  • Several cases anonymize the client by sector; ask for a named reference in yours
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · Aug 4, 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

European Central BankDatasets for model monitoring and the redevelopment of credit-risk modelsSource
HunkemöllerPricing transformation delivering better markdown outcomes with AISource

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