Formulation data that accelerates construction chemicals R&D
In this customer project, formulation data was scattered across Word documents, Excel spreadsheets and local desktop files. Previous results were difficult to find, leading to duplicate laboratory work, slower development cycles and valuable expertise sitting with individual employees rather than being shared across the organisation.
With LabV, the company's existing development processes were mapped and structured digitally. Raw materials, formulations and test results became centrally accessible, enabling the company to cut the number of iterations by approximately 50% by building on existing formulation data rather than starting from scratch.
Where construction chemicals R&D loses time
Construction chemical products, from sealants and joint compounds to protective coatings, are developed through iterative formulation cycles. R&D teams work with dozens of raw materials for each formulation while documenting production batches, material properties and test results. All while meeting certification and regulatory requirements, including ETAG guidelines, CE marking and internal testing standards.
In practice, formulation data is often fragmented. Existing raw material data is difficult to retrieve, experiments are repeated unnecessarily, and valuable expertise stays with individuals rather than the team. Historical data rarely feed back into ongoing development, which slows cycles and erodes the value of past work.
Too many files, too little structure
The R&D team documented experiments in Word documents and Excel spreadsheets without a consistent structure. Relevant data existed but couldn't be found when needed. Raw materials were frequently retested as a result, unnecessarily extending development cycles.
A structured formulation environment for adhesives and sealants
Existing workflows were preserved
LabV was configured to reflect the team's existing way of working without disrupting established processes. Raw materials were managed alongside batch information, material properties and technical data sheets. Formulations captured raw material compositions for one-component (1K), two-component (2K) and three-component (3K) systems. Associated process parameters, testing procedures and experimental results were linked directly to each formulation. The team's existing knowledge carried over and became accessible across projects.
Leverage existing knowledge instead of repeating experiments
Starting with a specific raw material, R&D teams can immediately identify every formulation and project in which it has previously been used. Where no exact match exists, fuzzy search identifies similar formulations. Teams can compare prior developments directly and avoid redundant laboratory work.
A clear structure for the R&D team
Raw materials, formulations and experimental results are organised by product area. R&D teams access what is relevant for their work, while all development data remains centrally managed and accessible long after individual projects have been completed.
AI-assisted formulation development starts with the data
Structured, consolidated formulation and experimental data provides the foundation for data-driven decision-making, AI-assisted formulation recommendations and predictive models for material properties such as viscosity and adhesive strength. Without it, neither the recommendations nor the predictions can be trusted.
Achievements of the R&D team
The numbers
fewer laboratory experiments by building directly on existing formulation data.
for raw materials, formulations, process parameters and test results, fully connected and searchable
"We wanted to move away from data chaos and toward development that builds on what we already know. LabV made that possible."
Head of R&D | Mid-sized Manufacturer of Adhesives and Sealants
Experience live
how formulation data becomes systematically usable.
Experience in a short demo session how LabV brings together formulations, test data and variant knowledge in paint and coatings development.