Smarter Experiments. Faster Discoveries.
Product development acceleration.
Smart Design of eXperiments
Revolutionize your research with AI
Boost your experiments with DxTER’s powerful features.
Applications
Use Cases
DxTER empowers innovation across various industrial and R&D applications:
Easy Design of Experiments
Optimizing experimental processes with DxTE
Experimental processes are at the heart of scientific discovery and innovation. These processes are inherently iterative, involving a vast number of possible ingredient combinations and complex synthesis rules.
Testing different combinations requires extensive experimentation time. DxTER helps reduce the number of steps needed to achieve the desired result—crucial for the economic viability of the process—by optimizing your Design of Experiments (DOE)
Advanced DOE for faster innovation
Smarter AI-Driven experimentation
DxTER leverages advanced Gaussian-based Optimization techniques to recommend experiments:
- Balancing exploration—discovering untested areas—and exploitation—refining the most promising identified regions within your problem space.
- Optimizing multiple responses simultaneously. Efficiently handling complex experimental setups.
- Solving complex, nonlinear relationships. DxTER models intricate interactions between factors and responses
- Managing uncertainty, helping to make informed decisions even with noisy or uncertain experimental data.
