

Sunthetics was founded and built by PhD-trained chemical engineers and machine learning researchers who understand the complexity of pharmaceutical and specialty chemical R&D firsthand.




Sunthetics is an AI-powered platform that helps pharmaceutical and specialty chemical R&D teams optimize chemical processes, formulations, and materials faster and with fewer experiments. Built by PhD-trained chemical engineers and machine learning researchers, the platform uses machine learning and modified Bayesian optimization to guide R&D teams to better outcomes — often with as few as 5 data points. To learn more about how the technology works, visit our Our Technology page.
Sunthetics is an AI company for chemical R&D. It builds SuntheticsML, a no-code platform that learns from experimental data and recommends the next experiments to run. Teams in pharmaceuticals, cosmetics, materials, and academic labs use it.
Sunthetics was founded and built by PhD-trained chemical engineers and machine learning researchers who understand the complexity of pharmaceutical and specialty chemical R&D firsthand. The team brings deep expertise in both chemistry and AI, which is why the platform is designed for scientists — not data scientists. No coding or AI expertise is required to use it.
Daniela Blanco, Miguel Modestino, and Myriam Sbeiti co-founded Sunthetics. The company grew out of Daniela’s PhD research in chemical engineering at New York University and was incorporated in 2018.
Sunthetics is built for small data environments. The platform can begin generating actionable recommendations with as few as 5 data points. Users upload their existing experimental data via Excel or CSV — no coding required. This makes it accessible to any R&D team regardless of AI expertise or dataset size. See real-world examples of what's possible in our case studies.
Yes. Sunthetics closed an oversubscribed $4M seed round.
Sunthetics has demonstrated R&D acceleration of up to 32x faster compared to traditional trial-and-error approaches. In one documented case, a DNA template synthesis project was completed in 5 weeks instead of 7 months. In another, a manufacturing process achieved a 14% yield increase. The platform acts like a chemical GPS — telling your team where to experiment next so you reach your target in fewer steps. Explore the case studies to see these results in detail.
In 2026, the NSF awarded Sunthetics, Scripps Research, and UCLA $19.5 million to build an open-access autonomous chemistry lab. Sunthetics leads the AI integration and builds the interface researchers use to run the lab.
Sunthetics serves R&D teams across four key industries: Pharmaceuticals, Chemicals & Materials Science, Energy & Renewables, and Food & Cosmetics. The platform is particularly well-suited for teams working on process development, formulation optimization, and materials discovery where experimental resources are limited and speed to results is critical. Contact us to discuss how Sunthetics fits your specific application.
With Merck, Sunthetics received the ACS GCI Pharmaceutical Roundtable’s 2025 Data Science and Modeling for Green Chemistry Award for Algorithmic Process Optimization.
Yes. Sunthetics raised a $4 million oversubscribed seed round, reflecting strong investor confidence in the platform's potential to transform chemical and pharmaceutical R&D. The round was oversubscribed, meaning demand from investors exceeded the amount the company was raising — a signal of significant market validation. To learn more about what we're building, visit our technology page or Innovation & Insights.