ai-predict Color Challenge
Where does your color software reach its limits?
Fewer lab tests. More targeted, improved formulation suggestions. New optimization possibilities.
Complex color shades, sophisticated effect coatings, or multiple competing formulation goals: Not every development task can be satisfactorily solved with existing color formulation systems.
With the ai-predict Color Challenge, we work with you to examine a specific application and explore the additional potential offered by the combination of physical models, measurement data, expert knowledge, and artificial intelligence.
Get started with a free problem and data assessment for selected applications.
Your development challenge deserves a better solution.
You know the challenge: Achieving a specific color shade requires numerous rounds of adjustments; a formulation reacts unexpectedly to changes in raw materials; or additional requirements complicate the optimization process.
We help you identify new approaches:
- Reduce development effort: Identify opportunities to plan lab tests and correction cycles more effectively.
- Make better use of existing data: Incorporate formulation histories, color measurements, and existing process knowledge into the evaluation.
- Make more informed decisions: Evaluate results, model limitations, and uncertainties in a transparent manner.
- Unlock further potential: Identify opportunities for the joint optimization of color, costs, material usage, or process properties.
Step 1: Understanding Your Challenge.
Free of charge. No obligation. No changes to your existing software and hardware infrastructure.
In a joint discussion, we’ll examine a specific color or formulation case that your current solution does not adequately address.
We’re particularly interested in your current approach, the existing formulation and measurement data, the current testing effort, and the desired result.
You will then receive an initial assessment of whether our physics-plus-AI approach appears suitable for your problem and what data is needed for a more in-depth analysis.
The benefit to you: You’ll find out whether a more detailed model calculation makes sense before investing additional resources.
Step 2: What can actually be achieved with your data?
A specific challenge is transformed into a transparent calculation.
For selected use cases, we agree on a clearly defined benchmark, based on a non-disclosure agreement (NDA) if necessary.
We use existing calibration curves, formulation histories, and measurement data as a starting point, along with one to three jointly selected target or test cases. We take relevant raw material, formulation, and process limits into account during the evaluation.
What You Can Expect:
- An assessment of data quality and data coverage
- A physically based model or formula calculation for the agreed-upon application
- An evaluation of model quality, uncertainties, and limitations, to the extent permitted by the available data
- Where applicable, formulation or correction suggestions, as well as recommendations for targeted additional experiments (DoE)
- For suitable use cases, simulation of alternative formulation, raw material, or process scenarios
We will explain the results together and, where possible, demonstrate relevant calculations directly in the simulator.
This way, you receive not just a calculation, but a solid foundation for your next development decisions.
We will coordinate the scope, data requirements, and terms of the benchmark together in advance.
And if the approach proves effective?
From color challenges to intelligent formulation optimization.
A successful benchmark can serve as the starting point for further applications.
After all, our approach is not limited to calculating individual color shades. With suitable data and models, other target parameters can also be taken into account, such as material costs, viscosity, coating properties, or UV curing behavior.
Integration and automation, international rollout, various user levels (from a one-click solution to R&D support or production deployment): Step by step, a customized solution for multi-target optimization is developed, tailored to your products, processes, and development goals.
Your challenging color or formulation problem is our starting point.
Tell us about your challenge. Together, we’ll explore whether our physics-plus-AI approach can open up new avenues for solutions.
The initial problem and data assessment is free of charge and non-binding for selected use cases.
Privacy Notice
We use your information exclusively to process your inquiry. Please do not submit any confidential formulation or raw material data at this time. We will coordinate a secure data exchange and, if necessary, a non-disclosure agreement (NDA) with you personally.
For more information, please see our Privacy Policy.
You are also welcome to contact us directly by email or phone:
Dr. Mathias Huck
Head of Marketing & Sales
Phone: +49 170 3281 473
Email: mathias.huck@ai-predict.de