Domaurea
DomusAurea AI offers Claritas, a diagnostic AI agent for grocery retailers that continuously analyzes POS data to identify root causes of revenue loss, such as phantom inventory, stock-outs, and cannibalizing promotions. Built on causal AI infrastructure with GraphRAG and neuro-symbolic reasoning, it delivers explainable, business-safe diagnoses. The platform operates 24/7 across every SKU, helping retailers respond to competitive price shocks and protect margins in real time.
- Retail Technology
- AI Agents
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Grocery retailers suffer from silent revenue losses—such as phantom inventory, stock-outs, and margin-destroying promotions—that are difficult to detect in standard analytics. Competitor price cuts can erode market share within hours, and without immediate identification of root causes, retailers cannot respond effectively and lose customers permanently.
Solution
Claritas is a diagnostic AI agent that continuously analyzes POS data to automatically identify the root causes of lost revenue, distinguishing causation from mere correlation. It flags issues like phantom inventory, stock-outs, and cannibalizing promotions, then provides specific recommendations on how to resolve them. Built on causal AI infrastructure with GraphRAG and neuro-symbolic reasoning, Claritas anchors every decision to a structured knowledge base, ensuring diagnoses are logical, explainable, and business-safe. The system operates around the clock across every SKU, enabling retailers to react to price shocks and promotional inefficiencies in real time. The platform is developed on Google Cloud infrastructure with native graph databases for enterprise-scale security and performance.
Target Audience
Primary customers are enterprise grocery retail chains and large-format food retailers seeking automated, explainable AI to uncover hidden revenue losses and protect margins in real time.
Features
- Causal inference engine that separates true causes of revenue loss from coincidental correlations
- GraphRAG and neuro-symbolic AI architecture that grounds decisions in a structured knowledge base for explainable, hallucination-free outputs
- Automated reasoning that runs 24/7 across every individual SKU to detect anomalies as they occur
- Revenue recovery capabilities that reduce phantom inventory and stock-out events by up to 30%, converting unexpressed demand into real sales
- Margin protection tools that flag cannibalizing promotions and optimize sales mix to preserve profitability, not just volume
- Built on Google Cloud infrastructure with native graph databases for enterprise-scale security and performance