Formulation

For R&D and innovation leaders in adhesives, sealants, and construction chemicals. Learn why formulation data outgrows spreadsheets and legacy tools, how to trace raw-material changes, and what a structured data layer for formulation work looks like.

Check GLP-1 food reformulation readiness before the first production run. Review formulation, scale-up, food safety, packaging, claims, labeling, QC, and shelf-life evidence with the teams responsible for launch.

Explore GLP-1 food reformulation from protein and fiber targets to production, packaging, labeling, and QC. Learn how connected formula, process, and test data support scale-up, shelf-life assessment, and release decisions.

For cosmetics and personal care R&D leaders. Learn how to connect formulation, testing, variants, claims and compliance data to reduce fragmentation, reuse knowledge, manage product complexity and make faster product decisions.

Discover how global spirits brands can connect formula, sensory, supplier, process, packaging, and market data to manage product changes, protect house style, reduce risk, and make faster, evidence-based decisions.

This guide shows why structured lab data is the foundation for AI-driven innovation in enterprise R&D, and maps out a practical roadmap for preparing formulation and measurement data for AI.

How food and beverage R&D teams calculate nutrition for every formula and generate allergen statements, ingredient statements and Nutrition Facts labels from the same ingredient data.

Is your F&B formulation data keeping you from releasing your next viral product? Your next viral F&B product could be stuck in a spreadsheet. Join Uncountable's free Nov. 19 webinar on fixing formulation data before your AI plans stall. Register, now

This webinar shows you how to enable end-to-end formulation and measurement capture beyond a traditional ELN system, and why supplementing your ELN with a structured data system matters.

Vitrimer cabin panels and a 110 m debondable wind blade arrived in the same week. Here's the data R&D teams now need to show a thermoset can be reprocessed or recovered, and still pass its specs...

Givaudan, dsm-firmenich and IFF have launched mood and skin-brain products. Proving those benefits takes more than a questionnaire. Here is how efficacy data changes when the claim is emotional.

Whey protein concentrate now costs more than twice what it did a year ago. Brands are blending in MPC, soy and pea, but no single protein does everything whey does. Here's how to design the blend instead of guessing it...

AI-guided experiment design can cut the number of runs a project needs. The DMTA loop only gets shorter when results reach the next design decision faster, and that depends on structured data and scientists who trust the model...

PDRN is in launches from Primark to Dior, but the materials behind the name come from very different sources. Here's what to record about a supplier grade before you compare test results or sign off a claim.

GLP-1 medications are changing what some consumers need from food. See how Nestlé, Danone, and Conagra are responding, and what protein, fiber, and portion targets mean for R&D teams balancing nutrition, taste, and texture.

FDA’s salt substitutes rule gives food manufacturers more room to reduce sodium. Explore what changes for standardized foods, which formulation trials to prioritize, and how connected R&D data supports testing, labeling, and product launch decisions.

Coating defects are rarely caused by one variable. Connected formula, process, raw-material, application, and quality data helps teams investigate root causes faster, prevent repeat failures, and preserve knowledge across R&D and manufacturing.

Beiersdorf is using structured R&D data and machine learning to help reformulate iconic skincare products for a lower environmental footprint, while maintaining the safety, performance, and sensory experience consumers expect.