Resources

A bill of materials describes components; a bill of substances describes chemical composition. Learn how these views connect with formulas to support product impact assessments, cost calculations, and compliance reviews.

Agent Personas in Uncountable let teams give Bodie, the platform's AI assistant, a defined job and a schedule, from weekly data cleanup to Monday lab reports. Agents run with the user's permissions and propose changes that wait for approval.

AI promises faster product development. But without connected data, trusted context, and clear workflows, it can create more work, not less.

Behr scientists formulate in Uncountable. R&D and production formulas are managed in the platform with appropriate tagging and access control.

A global specialty chemicals leader unlocks the power of connected data, machine learning, and cross-site collaboration to accelerate R&D and drive innovation across continents.

Clariant is using Uncountable to connect global R&D workflows, make scientific data easier to reuse, and build a foundation for analytics and AI across more than 1,000 users and 35+ sites.

Working with Uncountable and its Japan partner Nagase & Co., Ltd., the specialty chemical company is structuring experimental data across its global R&D organization to embed data-driven development and AI-driven analysis.

Remmers brought its R&D data, formulations, raw materials, test results, and projects, into one connected system on Uncountable. Now Bodie, the built-in AI assistant, helps the team get from a configuration question to a usable answer much faster.

After an extensive evaluation of available solutions Braskem identified Uncountable as the most suitable platform capable of delivering end-to-end R&D capabilities.

Assess whether product data is accurate, controlled, connected, and ready for development, quality, compliance, operational scale, and AI with this practical checklist.

Learn how connected qualification records link material identity, lots, formulas, process conditions, metrology, application testing, and customer decisions to accelerate reliable electronics materials qualification.

Assess R&D AI readiness with 20 questions covering evidence, scientific context, governance, model quality, and accountability. Identify where AI can add value now, and where stronger data relationships and controls are needed.