BI4ALL
Lisbon, Portugal
About
BI4ALL is a Lisbon data and AI consultancy working on analytics platforms, machine learning and generative-AI automation for banking, insurance, pharmaceutical and energy clients.
Our Take
Twenty years of data analytics with an AI line grown on top of it, and the strongest published result is an application-assessment system: generative models read each submission and its supporting documents, check eligibility against defined criteria and draft the approval or rejection rationale, reported at 85 percent faster review and 92 percent less processing time per application.
A second study puts computer vision on live sports data to turn match footage into statistics. The rest of the library is the analytics practice—Microsoft Fabric architectures, a Power BI write-back solution letting business users update source data from inside a report, cloud analytical platforms for municipal and banking clients.
No client is named on any of it. Everything is published by sector, which is a choice rather than an accident in a firm that names its three founding partners and its 2004 founding date openly.
The weaker fit is a buyer who wants a bespoke model rather than a governed analytics estate with AI applied at specific points inside it.
Key strengths
- The application-assessment system publishes both figures—85 percent faster review and 92 percent less processing time per application—with the decision steps described
- Two decades in data analytics from Lisbon and Porto, with the three founding partners named and the 2004 founding date published
- Part of the Plexus Tech group since 2025, which puts a 4,000-person international organization behind a Portuguese delivery team
Good to know
- No client is named on any case study—ask for a reference in your own sector before shortlisting
- Most of the library is Microsoft Fabric and Power BI delivery with AI at specific points; confirm whether your problem needs the analytics estate or a model
- No headcount, rate or named practitioners are published—ask who leads the AI work as distinct from the analytics practice
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · 9 Sept 2026
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