A look inside the software
A platform that adapts to your work.
ai-core makes complex formulation processes understandable, flexible and comprehensible.
From managing existing measurement data to analyzing color properties and AI-supported recipe prediction: The modular software platform ai -core connects data, models and workflows in a common environment.
The following insights provide exemplary insights into selected functions using the example of color and paint development.
Customizable work surfaces, flexibly configurable.
Every development process is different. The work environment can be tailored to it.
With the integrated PageBuilder, pages and functional elements can be customized. Measurement values, charts, recipe data, and other information can be arranged so that the content relevant to the specific workflow and user takes center stage.
This provides a clear overview and supports structured operation, from individual analysis steps to a more comprehensive view of the workflow.
Understanding Connections: From Measurement Data to Formulations.
A wealth of individual data points is transformed into a unified basis for decision-making.
ai-core enables the structured presentation of formulations, target specifications, and associated measurement data. Color values in the Lab color space, spectral reflectance curves, and angle-dependent color properties can be evaluated graphically.
Import measured values or connect hardware directly: flexibility and efficiency are the focus.
For example, with effect coatings, additional properties such as sparkle and graininess, prices, or layer structure can be taken into account.
This allows you to identify correlations, compare measurements, and use existing data for further calculations.
Predicting colors, optimizing recipes in a targeted manner.
Evaluate alternative formulations before the next laboratory experiment begins.
Based on existing recipes, measurement data and suitable models , ai -core supports the calculation and evaluation of color and recipe alternatives.
The target color and the calculated result can be compared, including angle-dependent color gradients, relevant parameters, and deviations.
Interactive simulations illustrate how changes to a recipe affect the calculated result. Model limitations and uncertainties help to properly contextualize predictions.
Design and automate processes flexibly.
The software should support the process – not dictate the process.
FlowEditor and FlowEngine allow application-specific processes to be designed and executed within ai -core .
Individual processing steps can be combined into workflows, for example for preparing data, training models, or performing calculations.
This modular architecture provides the basis for mapping different requirements and customer-specific working methods.
Would you like to see ai-core in action?
The features shown here are examples from paint and coating development. We’d be happy to discuss with you which data, models, and workflows are best suited for your application.
Schedule a Personal Demo Schedule a
Dr. Mathias Huck
Head of Marketing & Sales
Phone: +49 170 3281 473
Email: mathias.huck@ai-predict.de
Note: The software screenshots shown are examples from ongoing product development. The appearance and labels are subject to change.
