# Intelygenz vs QUANT AI Lab

> Two top-rated AI Consulting agencies in Madrid. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

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

## Facts
| | Intelygenz | QUANT AI Lab |
|---|---|---|
| Editorial score | 60/100 | 61.8/100 |
| Hourly rate | €45-85/hr (directory-listed) | not published |
| Team size | 50-249 | 50-249 |
| Location | Madrid, Spain | Madrid, Spain |
| Founded | 2002 | 2019 |
| Last reviewed | 2026-09-07 | 2026-08-05 |
| Services | AI Consulting, AI Automation, AI Development | AI Consulting, AI Development, AI Automation |
| Industries | FinTech, SaaS & B2B | FinTech, Manufacturing, E-commerce |

## Our take on Intelygenz
Reviewed 2026-09-07 by Gabor Kiss against published evidence.

Eight AI case studies, all in banking and telecoms, and all but one anonymized. The exception is MetTel, whose ticket-triage system is published with 52% of corrective maintenance operations resolved by AI, 45% faster resolution and 75% correct next-action predictions, plus a quote from their operations side.

The anonymized studies carry the same shape of number—95% call-prioritization accuracy, 89% of inquiries routed without a human—so the measurement discipline is visible even where the client is not.

Founded 2002 and part of VASS since 2022, with 12 of those years on AI specifically, at a listed €45–85/h.

Best for buyers in banking, insurance or telecoms who weigh a measured outcome above a nameable logo—and who will ask for the reference call themselves, because seven of eight studies will not supply one.

### Key strengths
- The MetTel automation is published with three hard numbers and a client quote: 52% of corrective maintenance resolved by AI, 45% faster resolution, 75% correct next-action predictions
- Every case study states a measured outcome, which is rarer in this market than the anonymity suggests
- €45–85/h for enterprise AI delivery, with more than 20 years of delivery history behind it

### Good to know
- Seven of eight case studies name no client—ask for a reference in your sector, and for who owns the model after handover
- Published work concentrates in banking and telecoms; if your domain sits elsewhere, ask what transfers
- Ownership has sat with VASS since 2022—confirm which entity signs, staffs and supports the engagement

## Our take on QUANT AI Lab
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

## Which to choose
Choose Intelygenz for:
- disclosed specialization in SaaS & B2B
- an overall editorial score of 60/100

Choose QUANT AI Lab for:
- disclosed specialization in Manufacturing / E-commerce
- an overall editorial score of 61.8/100

## Questions buyers ask

### Which has more FinTech experience, Intelygenz or QUANT AI Lab?
Both agencies show documented FinTech work. QUANT AI Lab has the broader industry stack overall, with disclosed experience in Manufacturing, E-commerce beyond their shared focus.

### Which scores higher overall, Intelygenz or QUANT AI Lab?
QUANT AI Lab scores 61.8/100, 1.8 points higher than Intelygenz at 60/100. See our methodology for how scores are calculated.

### When should I consider both Intelygenz and QUANT AI Lab?
Consider running parallel discovery briefs with Intelygenz and QUANT AI Lab if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.

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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