About Sunthetics

Sunthetics' founder, Daniela Blanco, trained as a chemical engineer in Venezuela and assumed she'd spend her career in the oil industry - the major driver in the Venezuelan economy. However, that quickly changed when she realized she wanted to work on more sustainable initiatives, so she left to get her PhD in Chemical Engineering at New York University (NYU), where her research focused on redesigning a highly polluting industrial process, nylon production, to run on renewable energy instead. That idea, a solar-powered approach to chemistry, gave Sunthetics its name, and after it won the Entrepreneurs Challenge at NYU, the company was incorporated in 2018.

That same research gave her more than a cleaner way to make nylon; it provided a turning point for the company. Daniela herself ran experiments for 3 and a half years in the lab to optimize the nylon production process steps and turn them into more sustainable alternatives. Daniela knew there had to be a better way. On a hunch, she trained a neural network on her experimental data, followed what it told her to try next, and got better results in two weeks than she'd managed in years. That's when she realized that chemistry was never the bottleneck in innovation: the real constraint was the number of experiments it took to get anywhere. Daniela realized that a data-driven tool for AI-guided experimentation could work for any chemist and chemical process. So Sunthetics went from a solar-powered chemistry venture to an easy-to-use AI platform designed to help chemists shorten development timelines and get results faster. 

Today, Sunthetics helps chemists figure out what to test next and whether a path is worth pursuing on fewer experiments. Our platform is used by some of the largest companies in pharmaceuticals, cosmetics, and materials, as well as academic labs.