ML
CEO & Co-founder
Mambaye LO
PhD in automated systems and multi-criteria decision-making (LGI2P, Nîmes) — the algorithmic foundation of AURA. Enterprise Architecture Manager. Currently also at Engie France.
Manifesto
Your systems hold the information.
AURA helps you decide.
ERP, MES, CRM, CMMS, market finance, IoT sensors: every second, your applications record the raw material of decision. Too often it stays locked inside schemas no operator should ever have to navigate — and in dashboards that recount what has already happened.
AURA lays a reference ontology over that raw material, abstracts the complexity of an evolving IS — where legacy and target architectures coexist — and reasons in real time through seven specialised agents. Every proposed trade-off is traced back to its source data. From there, the authorised human decides — with confidence, and under an explicit mandate.
What we do
Build your
Control Tower
agent by agent, scope by scope.
Six universal business cockpits — Finance, Operations, Sales, Marketing, HR, Executive — calibrated to your industry through sectoral presets (industry, energy, retail, banking, construction, insurance). Companion, the architecture agent, activates standalone or alongside. You start with a pilot or a full enterprise deployment; AURA orchestrates the cross-functional trade-offs.
Co-founders
The team building
AURA Group.
DS
Solution Architect · Control Tower
Diadié Sow
Leads the technical architecture of the Control Tower and native connectors. Diadié is also Data Scientist at QAD France.
ET
CTO AURA
Elisée TEGUE
Leads AURA product development and user experience. Owns the technical roadmap on the interface side. Elisée is also Tech Lead at Engie France.
OF
Chief Strategy & Growth Officer
Ousmane Faye
Owns deployment strategy, partnerships and growth. Agile Coach specialist.
Identity
Nature
AI native · causal reasoning
Approach
Reference ontology
Model
Seven agents · modular cockpits
Hosting
Sovereign SaaS · multi-region
Compliance
EU AI Act · DORA · NIS2 · ISO 27001
Ambition
International · cross-sector
Conviction
The value of operational AI is measured by the strength of its trade-offs: those that still hold six months later — before a board, a regulator or an auditor.
— Mambaye LO, CEO & Co-founder