Formulation Development for Adhesives

From scattered test data to reliable decisions

Consolidate data, evaluate variants and make data-driven decisions.

Formulations for adhesives are continuously adjusted. New substrate combinations, modified process conditions or different curing profiles generate additional formulations and test series. LabV consolidates formulations, test values and experimental results in a shared data structure. This allows R&D teams to evaluate formulations systematically, compare variants directly and reduce trial-and-error in formulation development.

Maschine trägt präzise Klebstoff auf eine transparente Kunststoffform auf.
Screen der LabV-Plattform mit einer Übersicht eines Projekts mit den zugeordneten Experimenten und den darin enthaltenen Rohstoffen.
Challenges in formulation development

Data exists — but it is not usable

Which formulation showed the best shear strength under thermal load? And has this combination of resin and hardener already been considered in experimental design?

In everyday R&D, these questions often go unanswered because data from historical experiments is not readily accessible: formulations are stored in Excel files, test reports are saved as PDFs and measurement data is stored in individual project folders. This makes cross-project variant comparison difficult and leads to duplicate experiments.

How LabV supports 

Structured data in formulation development

LabV structures formulations, process parameters and test values in a central data structure. Changes to resins, fillers or additives remain traceable, as do the connections between formulation variants and mechanical or thermal test results.

The result: development teams spend less time second-guessing formulation decisions and move faster toward viable variants.

Diagramm zeigt drei verbundene Kreise mit den Themen Workflows, Daten und KI, die jeweils spezifische Elemente wie Projekt, Rezepturdaten und generative KI enthalten.
Data-driven decisions as the basis for new formulations

Capture and connect process parameters and measurement data in a structured way

Data from formulation changes is only valuable if it can be compared — across projects, batches and iterations. LabV structures this data so that the relationship between a formulation decision and its test result remains traceable.

Dr. Stefan Thomas hält auf der analytica 2026 einen Vortrag über Digitale Transformation und den KI-Assistenten von LabV.
From manual data search to a central data platform

Evaluate test results and track variant comparisons in a structured way

Which formulation remains stable at 80 °C? Which variant shows better peel strength on PP substrates? These questions can only be answered when test results are directly linked to the corresponding formulations. LabV replaces manual variant comparison with a systematic process.

Zwei Enwickler in der Klebstoffindustrie analysieren Formulierungsdaten und werten diese aus.
AI-supported Material Intelligence Platform

Identify patterns and support data-driven decisions

Artificial intelligence supports, but the decision remains with the team. Based on structured data, LabV's AI assistant identifies patterns across test series and detects deviations between formulations — so teams can which formulations perform consistently under specific test conditions and which do not.

Beispiel für Frage des Entwicklers nach einer Korrelationsmatrix und Antwort des LabV AI Assistanten.
LabV Charles JouaniqueTobias HeinrichLabV Daniel Stroh

Experience live
how formulation data becomes systematically usable.

Experience in a short demo session how LabV brings together adhesive formulations, test data and variant knowledge in adhesives development.