https://store-images.s-microsoft.com/image/apps.39579.c9fce15d-6e58-4831-a07d-3a8aa356fe69.56de8ffb-7a0b-4030-9cca-62e637f25151.6b9320bb-f9f4-4b51-873e-fb0eda73e797

Viridium AI Q1 2025 Offer

by Viridium.AI, Inc.

Science-based software and AI to gain material knowledge across product portfolios

Challenge:
Manufacturers are facing increasing pressure from regulatory crackdowns, supply chain disruptions, and heightened material scrutiny. Legacy methods of relying on supplier declarations and fragmented BOM data are too slow, error-prone, and leave Manufacturers exposed to compliance risks, high OPEX costs, and production delays.

Welcome to Viridium AI:
Viridium AI's science-based software and proprietary AI fast-tracks access to material and chemical intelligence, ensuring Manufacturers have real-time, ongoing visibility into their products. Why is this a business imperative? Material and chemical knowledge is the foundational data needed to proactively navigate and effectively mitigate financial, regulatory, and supply chain risks. Product Compliance, Regulatory Affairs, and Supply Chain leaders will gain actionable insights to act fast.

Our proprietary AI and science-based software is purpose-built to:
Unify and enrich fragmented BOM data—regardless of its scattered origins (e.g., ERP, PLM systems).
Identify materials or substances of concern across nested supply chains, with velocity.
Significantly lessen reliance on supplier declarations thanks to proprietary, science-based software.
Connects-the-dots between chemical regulations and impacted materials in products.

Value benefits:
Reduce OPEX by using purpose-built, out-of-the-box solution(s).
Accelerate compliance and proactively mitigate risks before they become a problem.
Improve decision-making speed and accuracy with structured, enriched data.
Extensibility, future-proofing, and configurable to meet business demands.


At a glance

https://store-images.s-microsoft.com/image/apps.45174.c9fce15d-6e58-4831-a07d-3a8aa356fe69.53c6c75b-ac1c-426d-b593-2cd0b5e88993.6b0b387f-e1a2-4f07-98f6-a54d17b2b588