Overview
Synthace provides software and services for designing, automating, and analyzing multivariate experiments in drug discovery and assay development. The platform enables scientists to create sophisticated Design of Experiments workflows without coding, automatically generate lab automation instructions, and structure experimental data for analysis. Synthace specializes in translating biological ideas into experimentally validated datasets through integrated experiment design, simulation, execution, and data management capabilities.
Frequently asked questions
- What core capabilities does Synthace offer?
- Synthace provides a digital experiment platform that enables users to design multivariate experiments through an intuitive, code-free interface; automatically convert experimental designs into automation instructions for lab equipment; and visualize and analyze results with contextualized, automatically structured data. The platform includes Design of Experiments (DOE) tools, dilution and mastermix planning, manual execution mode for documentation, and an Experiment Map for centralized campaign management.
- How does Synthace integrate with existing lab infrastructure?
- Synthace translates experimental designs into precise automation instructions compatible with existing lab automation equipment, including liquid handlers and automated reagent dispensers. The platform works with third-party analysis tools through customizable data structuring controls, allowing organizations to leverage Synthace experiment data in their preferred analytical software without requiring new infrastructure investments.
- What types of experiments can Synthace support?
- Synthace specializes in multivariate experiments for drug discovery and assay development, enabling scientists to move beyond traditional single-factor experimentation. The platform supports sophisticated Design of Experiments workflows, biological design simulations, experimental protocol simulations, and complex multi-parameter studies that generate high-dimensional datasets for improved research outcomes.