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Agentic AI provides an AI‑driven platform that structures large volumes of raw material data—such as bill of materials—into a clean, gap‑filled format for impact calculations and resource‑use analysis. The system automates complex workflow steps, enabling companies to improve material efficiency, manage supply‑chain risks, and make data‑backed decisions across their value chains. Its embedded AI assistant guides users through each stage of the optimization process.

Updated 16 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Manufacturers and supply‑chain operators often struggle with fragmented, unstructured bill‑of‑materials data, making it difficult to assess material usage, identify inefficiencies, and manage resource‑related risks across complex value chains.

Solution

Agentic AI offers an AI‑driven platform that automatically cleans, structures, and enriches large bill‑of‑materials datasets, filling data gaps to create a unified view of material flows. The system then performs impact calculations that quantify raw material consumption, planetary resource pressures, and associated risks. An embedded AI assistant guides users through each workflow step, from data preparation to insight generation, enabling faster, more accurate decision‑making. By delivering actionable metrics on material efficiency and risk exposure, the platform helps organizations optimize resource use, reduce waste, and improve compliance with sustainability standards.

Target Audience

The primary customers are manufacturers, tier‑1 suppliers, and supply‑chain managers who need detailed material usage insights and risk assessments across multi‑stage production networks.

Features

  • Automated ingestion and normalization of heterogeneous bill‑of‑materials data into a consistent, queryable format
  • AI‑powered gap detection and data completion to ensure comprehensive material inventories
  • Impact calculation engine that quantifies raw material usage, environmental pressures, and supply‑chain risks
  • Fully embedded AI assistant that provides step‑by‑step guidance and answers user queries throughout the workflow
  • Visual dashboards that present material flow analytics, risk scores, and efficiency opportunities
  • Export capabilities for integration with existing ERP, sustainability reporting, and risk‑management tools
This profile is AI-generated and may contain inaccuracies.