Katalyst

Katalyst is designed to streamline high throughput experimentation (HTE) by consolidating all data from experimental design to final decision within a single interface. This integration allows for automatic connection of analytical results to each experiment, facilitating quick and confident decision-making.

HTE workflows often face challenges such as scattered systems, manual data entry, and errors from transcribing data between programs. Katalyst addresses these issues by providing a unified platform that eliminates the need for multiple software interfaces. It reduces the time lost to configuring equipment and manual intervention, even in labs equipped with robotics.

One of the key features of Katalyst is its ability to connect analytical data directly to experiments, removing the manual process of linking results. This integration speeds up the comparison and review of results. Additionally, the software is chemically intelligent, accommodating chemical information that traditional statistical design software does not, ensuring comprehensive coverage of the chemical space in experimental designs.

Reprocessing analytical data is simplified with Katalyst, which automates data analysis and supports over 150 instrument vendor data formats. The software integrates with analytical instruments to automatically process and interpret data, displaying results for easy visualization and comparison.

Key Features

• Drag and drop setup from inventory lists connected to internal systems.
• Display reaction schemes as structures or text.
• Save experimental designs as templates for reuse.
• Input pre-dispensed kits directly into experiments.
• Automatic targeted analysis of spectra for each reaction component.

Katalyst also incorporates AI/ML capabilities, being the only commercial HTE software with an integrated algorithm for machine learning-enabled design of experiments (DoE). The Bayesian Optimization module (EDBO) helps reduce the number of experiments needed to achieve optimal conditions. The software structures experimental data for export into AI/ML frameworks, accelerating future studies without the need for extensive data engineering.

By integrating with various third-party systems, Katalyst supports data import and export, including design of experiments software, inventory systems, automated reactors, and more. This flexibility allows scientists to apply their expertise without being bogged down by monotonous tasks.

Customer reviews highlight the ease of use and flexibility of Katalyst, with users able to design complex experiments quickly and efficiently. The software's visualization tools, such as heat maps and customizable charts, further aid in identifying optimal reaction conditions.