# Sunthetics

> Sunthetics offers an industry-grade AI-powered optimization software for chemical R&D. Its platform, SuntheticsML, applies Bayesian optimization and ML to existing R&D workflows, guiding formulation, process development, and scale-up to optimal conditions from as few as five data points. Sunthetics and Merck won the 2025 ACS Green Chemistry & Engineering Award for their joint work on Algorithmic Process Optimization, and the company's methods have been validated in peer-reviewed work with partners including Merck & Boehringer Ingelheim. Sunthetics is headquartered in San Marcos, Texas.

Our mission is to make chemistry more efficient, and more sustainable as a result. Sunthetics began at New York University with a solar-powered electrochemical method for producing nylon more sustainably, then built and pivoted to the machine learning platform that had guided that work. The company is led by co-founder and CEO Daniela Blanco.

## Company

- [Sunthetics homepage](https://www.sunthetics.io): Overview of the SuntheticsML platform and what it does.
- [Case studies](https://www.sunthetics.io/case-studies): How R&D teams accelerate their work with SuntheticsML.
- [Publications](https://www.sunthetics.io/publications): Peer-reviewed studies using SuntheticsML.
- [LinkedIn](https://www.linkedin.com/company/sunthetics): Company updates and announcements.

## Peer-reviewed publications

- [Frugal sampling strategies for navigating complex reaction spaces (Porte et al., 2026, Organic Process Research & Development)](https://doi.org/10.1021/acs.oprd.6c00027)
- [Algorithmic optimization of in vitro transcription for mRNA vaccine production (McMinn et al., 2024, Biochemistry)](https://pubs.acs.org/doi/10.1021/acs.biochem.4c00188)
- [Machine learning-directed discovery (Castillo et al., 2024, Chemical Communications)](https://pubs.rsc.org/cc/article/60/98/14597/840526/Machine-learning-directed-discovery-and)
- [AI-driven machine learning modeling for freeze-drying process characterization (Stamato et al., 2025, Chimica Oggi - Chemistry Today)](https://www.chemistry-today.com/articles/artificial-intelligence-ai-driven-machine-learning-modeling-for-process-characterization-of-dynamic-freeze-drying-lyophilization-after-spray-freezing/)