Synthace

Synthace is a laboratory software platform designed to streamline and automate the process of biological experimentation, with a strong focus on generating high-quality, AI-ready data. The core purpose of the platform is to remove friction from discovery biology, allowing researchers to design, automate, and run complex experiments that produce high-dimensional, contextualized datasets. These datasets are specifically structured to be immediately usable by artificial intelligence and machine learning models, accelerating the pace of scientific discovery in fields such as drug development, synthetic biology, and biotechnology. The platform enables scientists to move away from manual, error-prone workflows by providing a unified environment where experimental protocols can be defined computationally. Users can specify experimental parameters, variables, and conditions in a digital format, which are then executed automatically by robotic liquid handlers, plate readers, and other laboratory instruments. This integration eliminates repetitive manual pipetting, reduces human error, and increases throughput significantly. One of the key functional advantages of Synthace is its ability to capture not just the final experimental results but also the full context surrounding each data point. This includes metadata such as reagent batch numbers, incubation times, temperature logs, instrument calibration records, and any deviations from the protocol. By attaching this rich contextual information to every measurement, the platform ensures that the resulting data is meaningful and reproducible, which is a critical requirement for training robust AI models. The platform supports a wide variety of experimental designs, including dose-response curves, time-course studies, combinatorial