Datanoetic offers an AI‑native platform that connects to an enterprise’s existing ERP, CRM, warehouse, transportation and other transactional systems to build a real‑time digital brain—a knowledge graph of people, machines, data and workflows. The platform continuously tracks key performance metrics, provides root‑cause and predictive insights, and enables agentic AI to automate process improvements, helping large, data‑intensive organizations reduce waste, boost efficiency, and increase operational resilience.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in high‑velocity supply chain sectors often operate with fragmented ERP, CRM, warehouse and transportation systems, leading to siloed data, manual KPI tracking, and delayed identification of bottlenecks. This fragmentation hampers real‑time visibility, wastes resources, and makes proactive process optimization difficult.
Solution
Datanoetic provides an AI‑native platform that connects to existing transactional systems and non‑systemic processes to create a real‑time digital brain of the organization. By building a knowledge graph of people, machines, data and workflows, the platform continuously monitors key performance indicators and uses machine learning to surface root‑cause analyses, predictive insights and automation opportunities. The solution delivers context‑aware, agentic AI that can recommend and execute process improvements without requiring large‑scale system replacements, enabling enterprises to reduce waste, improve efficiency and increase operational resilience.
Target Audience
Primary customers are large, data‑intensive enterprises in pharmaceuticals, life sciences, omni‑channel retail, consumer goods/FMCG, and logistics/supply chain that need unified data visibility and automated process optimization.
Features
- Seamless integration with ERP, CRM, warehouse, transportation and order‑management systems via lightweight connectors, avoiding costly replacements
- Real‑time knowledge graph that maps interactions among people, machines, data and processes across the value chain
- Automated KPI tracking for metrics such as time, quality, compliance, risk, cost, customer satisfaction and sustainability
- AI‑driven root‑cause analysis and predictive scenario simulation to identify bottlenecks and suggest proactive actions
- Agentic AI workflow automation that can execute recommended process changes autonomously
- Dashboard and alerting interface that visualizes performance trends and actionable insights for decision makers