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#2 of 8 AI agencies in Rotterdam

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010 Coding Collective

Rotterdam, Netherlands

2-9Contact for rates

About

010 Coding Collective is a Rotterdam senior AI software agency building automation, production machine learning and AI audits for banks, insurers and public bodies.

Who They Work With

Founders and small teams who need a working AI feature in production fast, with the compliance reasoning written down.

Based on 2 client engagements with a source URL · researched 4 Sept 2026

Our Take

The recruitment case study is the one to read: FastAPI, LangChain, GPT-4 and PostgreSQL behind a CV-screening system that scores against stated job requirements only, refuses to train on historical hiring data, logs every decision, and passed an external audit—the compliance reasoning is written out at a level most AI shops leave to a sales deck.

The Utilitarian shoe-return tool is live in INTERSPORT and Runnersworld stores as a white-label platform on the client's AWS, and the study says plainly that no custom model was trained, which is the right call stated out loud.

Against that, the strongest study is anonymized at the client's request with every figure removed—"significant time savings" is as precise as the results get—and the team is 2-9 people.

The weaker fit is buyers who need a model built rather than assembled, or a supplier deep enough to staff two builds at once.

Key strengths

  • Data residency is specified rather than assumed: hosting is stated as AWS in the EU region against a GDPR requirement written into the brief
  • Case studies name what was deliberately left out—no custom model, no over-built architecture—which makes the delivery tradeoffs legible upfront
  • Published service lines include code review and security audit of AI-generated codebases, with a free 1.5-hour scoping session and a written summary before any engagement

Good to know

  • No rate is published and the team is 2-9 people—clarify capacity and pricing against the European range on our rate index before scoping a multi-month build
  • Ask for a speakable reference behind the recruitment system: the audit result and the time savings are both stated without a name or a number attached
  • No team page, founding year or named engineers are published—ask who specifically would build and who maintains the system after handover
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 4 Sept 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

Documented engagements: Utilitarian, BIKEBAZE, INTERSPORT, and Runnersworld. All 4 carry a source URL on file.

UtilitarianAI image recognition for in-store product returns, built as a white-label platform on the client's AWS and live in INTERSPORT and Runnersworld storesSource
BIKEBAZECommunity activation MVP using cookies and browser fingerprinting, rolled out nationally (software delivery, not AI)Source
INTERSPORTDeployment site for the Utilitarian returns platformSource
RunnersworldDeployment site for the Utilitarian returns platformSource

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