Data & AI ThatDelivers Results

Reduce operational load in procurement workflows by automating the handling of tender documents: ingestion, extraction, summarization, validation, and decision support.

Validate and demonstrate business value for GenAI-enabled workflows in an enterprise environment where quality, reproducibility, and governance matter suitable for regulated environments with auditability expectations set by the Central Bank of Madagascar.

Translate incident/accident datasets into decision-ready dashboards for executive oversight and operational management for the Moroccan highway network system

We aim to improve the security of digital onboarding procedues by detecting forged / altered / recomposed documents, including fraud amplified by generative AI with the aim of improvingcompliance without slowing onboarding through systematic, traceable analysis compatible with strict on-prem environments. This use case will replace sampling-based manual checks with scalable, auditable automation.

The aim of the following use case is to immprove the quality, coherence, and reliability of customer data to secure KYC and strengthen operational performance. Data Guardian will systematically detect anomalies, inconsistencies, and duplicates across customer records, then propose corrective actions with human validation (human-in-the-loop) to establish an evolutive model for data quality and governance across fragmented banking entities.

With Atlas Gate, we are aiming to eliminate dependence on foreign dynamic link services by providing a Moroccan sovereign platform hosted locally. This will enable us to secure sensitive digital journeys (onboarding, campaigns, app redirects) with control, auditability, and compliance. It will also enable large-scale operational use via API & SDK, personalization, and analytics on link usage.

Unify and industrialize HR reporting so the customer has reliable, consistent, decision-ready people analytics, reducing manual reporting and aligning KPI definitions across brands and subsidiaries.

Enable banks and retailers to analyze, simulate, and optimize point-of-sale networks (ATMs, branches, stores, service points) using an AI-driven potential score, cannibalization analysis, and explainable recommendations tied to financial ROI.

Strengthen product decision-making by building measurement layers, analytics outputs, and stakeholder-ready reporting.

Transform raw human interactions (voice + text, and potentially other signals) into structured, decision-ready insights—capturing not only what was said, but what was meant and how it was delivered.