Our solutions

A real business need. Useful AI.

Forecast sales, reduce repetitive work or support your customers: start with your everyday needs to find the right solution.

Pillar 01 · Data Foundation

Data Foundation : The right data to feed AI

Without a strong data foundation, no AI project can succeed.

  • Multi-source data ingestion and structuring
  • Synthetic data generation for instant cold starts
  • Data annotation and Data Labeling (RLHF)
  • Data governance and data quality
  • Dedicated teams from Madagascar with optimized costs
Data Pipeline IA-Nao
Souverain & Sécurisé
01 · Sources Brutes
ERP, CSV, Documents, SQL, APIs
Multi-sources
02 · Structuration & RLHF
Nettoyage, Synthèse & Annotation locale
Équipes Mada
03 · Prêt pour l'IA
Vectorisation, Datasets & RAG souverain
Clean Data
99.8% Qualité & Contrôle
100% Données Restreintes
-40% Coûts Optimisés
Pillar 02 · Machine Learning

ML End-to-End : From prototype to real-world usage

From prototype to real-world usage: our Machine Learning creates measurable business value with efficient models integrated into workflows.

  • Sales forecasting and time series
  • Industrial predictive maintenance
  • ML pipeline design and monitoring
  • Cloud, hybrid or edge deployment
  • ML integration into business workflows
Demand Forecasting

Anticipate sales. Adjust your stock.

Estimate future demand from past sales to plan purchasing and production. The aim: fewer stockouts and less excess inventory.

Who it is for Retail, manufacturing, pharmaceuticals and food businesses.

Explore my sales forecasts

From history to forecast

Past sales Estimated demand
Concept illustration · Fictional data
  1. 1Your sales and stock history
  2. 2Forecasts by product and period
  3. 3Better-informed purchasing decisions

We first check your data quality and test forecasts against your historical sales.

Pillar 03 · IA Engineering

AI Engineering : Generative AI, agentic AI, intelligent automation

Generative AI, agentic AI and intelligent automation. We integrate AI into the heart of your tools.

  • Open-source LLM integration (Mistral, Llama) & RAG
  • ERP Copilot and internal assistants
  • Social selling assistant for business teams
  • Accounting automation and n8n / Make workflows
  • Long-term ambition: contribute to a Malagasy LLM
🤖
IA-Nao Enterprise Copilot Connecté à votre ERP & Documents
RAG Privé

Quel est le niveau de stock de l'article REF-402 et faut-il réapprovisionner pour le week-end ?

Stock actuel : 140 unités (dépôt Tana).
Avec la prévision météo et les ventes passées, prévision à 245 unités (risque de rupture dans 48h).
💡 Recommandation : bon de commande de 120 unités généré dans l'ERP.

⚡ Action suggérée : Valider la commande ERP →
Pillar 04 · Stratégie & Cadrage

Data & AI Strategy : Audit, roadmap, training and end-to-end support

End-to-end support: from data audit to production AI systems.

  • Data audit and diagnosis
  • Tailor-made AI roadmap
  • Training and team enablement
  • PoC → industrialization support
  • Augmented dashboards (BI + AI)
Cadre de Décision IA-Nao · 4 Étapes PoC en 4 semaines
30 min
01 · Diagnostic d'Opportunité

Qualifier le cas d'usage le plus rentable et vérifier la faisabilité des données.

10 jours
02 · Cadrage & Architecture

Feuille de route chiffrée, périmètre clair, budget PoC maîtrisé et critères de succès.

4 sem.
03 · Prototype Métier (PoC)

Démonstrateur fonctionnel testé en conditions réelles sur un vrai workflow.

Décision
04 · Décision Éclairée

Industrialiser sereinement ou arrêter proprement avant de dépenser davantage.

What would you like to improve?

Practical applications tailored to your tools and teams. We define the scope together.

Customer support

Answer customers faster

An assistant uses your information to handle common questions and direct requests.

In practice

Answer a service question and hand complex cases over to your team.

Discuss this need — Answer customers faster

Your needs do not fit a category?

Tell us about your business, what slows you down and your available data. Together, we will identify a first use case.

Discuss my project

Get useful AI signals

A short briefing on data, AI agents and AI projects that actually reach production.