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Flowt

Lyon, France

2-9Contact for ratesFounded 2024
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About

Flowt is a Lyon data and AI agency taking projects from framing to production across business intelligence, data engineering, data science and generative AI.

Our Take

The case library is unusually well populated for a firm this young, and it names its clients: sales-forecast accuracy up 25% on centralized e-commerce data at L'Oréal, budget reporting automated at BNP Paribas, quality dashboards consolidated at Decathlon, monitoring across 500-plus items of plant equipment at EDF.

Most of that is business intelligence and data engineering. The one study built on language models is Pure, a real-estate scale-up where AI agents generate and score investment scenarios, reported at 70% less time per scenario and ten times more opportunities analyzed.

The causal study for the Ministère du Logement on short-term rentals across 35,000 communes is the strongest evidence of statistical depth rather than reporting work.

Best for teams that need a data foundation and reporting they can trust first, with generative AI added on top of it rather than in place of it.

Key strengths

  • Nearly every published case names its client and closes with a figure—hours removed, accuracy gained, refresh time cut—so the claims are checkable rather than descriptive
  • The public-sector study shows method rather than tooling: causal analysis over 10 million data points and more than 50 socio-economic variables
  • Coverage runs from BI and data engineering through data science to generative AI, so a first project can start where your data actually is

Good to know

  • A 2024 founding and a small team sit against a client list of L'Oréal, EDF, BNP Paribas and Decathlon—ask which engagements this company delivered and which followed its consultants from elsewhere
  • The site publishes dozens of near-identical city landing pages naming Flowt the reference data and AI agency in each town; read those as search marketing, not local presence
  • One case study is genuinely LLM-based; if your project is generative AI rather than reporting, ask for that reference and what is running in production today
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 10 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

Documented engagements: L'Oréal, Ministère du Logement, Pure, EDF, BNP Paribas, and Decathlon. All 6 carry a source URL on file.

L'OréalCentralized and reconciled e-commerce data flows for cross-channel performance reporting, with online sales forecast accuracy reported up 25%Source
Ministère du LogementCausal analysis of short-term rental platforms' effect on residential prices across more than 35,000 communes, 10 million data points and 50-plus socio-economic variablesSource
PureData and AI foundation for a real-estate investment scale-up: LLM-backed agents generate and evaluate investment scenarios, reported at 70% less time per scenarioSource

Also worked with

BNP ParibasSource
DecathlonSource

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