# QUANT AI Lab

> QUANT AI Lab is a reviewed AI agency in Madrid, Spain, listed in the AIAgencies.eu register and last assessed 2026-08-05.

Canonical page: https://www.aiagencies.eu/agency/quant-ai-lab
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Madrid, Spain
- Website: https://www.quant.global
- Hourly rate: not published
- Team size: 50-249
- Founded: 2019
- Services: AI Consulting, AI Development, AI Automation
- Industries: FinTech, Manufacturing, E-commerce
- LinkedIn: https://www.linkedin.com/company/quant-ai-lab

## About
QUANT AI Lab is a Madrid AI company building risk, forecasting and decision systems for regulated and operational environments, with offices in Paris, Bordeaux and London.

## Documented clients
Documented engagements: BNP Paribas, Banco Santander, BBVA, and Repsol. No source URL is on file for these yet.

## Curator assessment
Reviewed 2026-08-05 by Gabor Kiss against published evidence.

Twenty-eight published use cases, and what makes them worth reading is that each one names its stack.

Fraud detection on Databricks, Neo4j and Snowflake. A destination recommender for airline revenue built with SageMaker, Hugging Face, TensorFlow and Airflow. Retrieval-augmented chat on LangChain and FAISS. A Bayesian library industrialized with pgmpy, Docker and FastAPI. Climate transition risk, ESG flood-risk assessment against CSRD, PPE detection, predictive maintenance, unsupervised fraud detection. That is an engineering catalog rather than a marketing one, and it is the most technically itemized portfolio on this register.

The practice is anchored in quantitative finance—the group chief executive is a known figure in model risk—and Virgo, its own architecture, is aimed at regulated and mission-critical deployment.

The weakness is attribution. BNP Paribas, Santander, BBVA and Repsol appear as logos, every use case is anonymized, and none carries a result. The technical credibility is high and the delivery record is unverifiable from outside. Ask which logo maps to which build.

### Key strengths
- Twenty-eight use cases each naming its technology stack, which lets an engineering buyer assess the team before the first call
- Genuine quantitative depth—Bayesian networks, hierarchical models, optimization—rather than an LLM-only practice
- A registered Spanish company with a named executive team and offices in Madrid, Paris, Bordeaux and London

### Good to know
- Every use case is anonymized and the four bank logos attach to none of them—ask which client corresponds to which build
- No outcome figures anywhere; the catalog proves capability and says nothing about impact

## Compared head-to-head
- QUANT AI Lab vs Intelygenz: https://www.aiagencies.eu/compare/intelygenz-vs-quant-ai-lab
- QUANT AI Lab vs Plain Concepts: https://www.aiagencies.eu/compare/plain-concepts-vs-quant-ai-lab

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates