Formulation, raw material and test data in a sdingle data structure
Develop surfactant formulations faster, compare stability and performance data, and make decisions based on reliable data.
Developing detergents and cleaning products involves a large number of variables: surfactant combinations, pH values, foam behaviour, cleaning performance, skin compatibility, dosage and biodegradability. Each formulation variant generates new data, but in many R&D teams this information is distributed across Excel files, laboratory equipment, device exports and individual project folders.
LabV brings formulations, raw material data, measurement data and experimental results together in a central Material Intelligence Platform. This allows formulators to use existing knowledge more effectively, compare variants and develop new formulations more systematically.
Fragmented data slows detergent development
Which surfactant combination delivers the best cleaning performance? How does viscosity change after storage? Which formulation stays pH stable, foams in a controlled way and meets sustainability requirements? Questions like these can only be answered when formulations, raw materials, process parameters and test results are viewed together.
In practice, this data is often scattered. Stability tests sit in reports, raw material information in data sheets, trial results in Excel, and comments in individual project files. The connections between them become hard to see. Teams repeat trials, search for old results or decide on incomplete information.
For formulators, this creates a structural problem: development generates plenty of data, but not knowledge that is ready to use.
Systematically connect formulations, raw materials and test results
One platform. All R&D data.
LabV structures the data generated in detergent development so that its origin, versions and relationships remain comparable. Formulations, raw material data, stability tests, performance tests and process data are not stored separately, but captured within a shared context.
As formulation software for detergents, LabV connects formulation management, raw material databases and experimental planning for surfactant formulations in a shared working environment. This allows teams to digitalise their detergent development without losing knowledge from existing projects.
Whether individual raw materials, surfactant classes, builder systems, co-solvents or pH adjustments: the platform's data structure takes formulation-specific characteristics into account and enables historical results to be reused. Development teams no longer work with isolated data points, but with a reliable data foundation.
Capture and use all data from day one
Every new formulation starts with assumptions: which base formulation fits? Which surfactant combination looks promising? What requirements apply to cleaning performance, foam control, skin compatibility, biodegradability or green claims?
With LabV, this information is captured in a structured way from the start. Development briefs, raw material screenings, formulation variants, test plans and measurement results come together in one central environment. Data from instruments or existing systems can be connected and brought into a single format.
The result: formulators find relevant information faster, compare variants more consistently, and can justify decisions on the next formulation iteration with more confidence.
DataHub
Automatically connects measuring instruments and IT systems and makes measurement and process data centrally available, standardised and immediately usable.
ProjectHub
Brings together projects, experiments, results and notes in one place, providing clear and traceable R&D workflows and analyses.
ResourceHub
Manages materials, test methods, instruments and processes centrally, keeping all resources documented, versioned and ready for use.
AI Assistant
Answers questions based on your data, identifies relationships and supports calculations, analyses and documentation.
Identify patterns and optimise surfactant formulations systematically
With a structured database, AI can do more than search. It identifies patterns in formulation and test data, reveals relationships between raw materials and properties and helps to identify promising variants for prioritisation.
This is particularly relevant when several objectives need to be optimised simultaneously: cleaning performance, foam behaviour, skin compatibility, stability and sustainability requirements. Instead of working through experimental plans rigidly, teams can incorporate new results directly into the next development decision.
The LabV AI Assistant helps formulators search their data semantically, analyse test results and prepare the next development steps. The decision remains with the team, but the relevant information becomes available more quickly.
See live how R&D data can be used systematically.
In a short demo, see how LabV brings together formulations, raw material data, test values and development knowledge in detergent R&D.