Chemetrian Selected for Innovation AveNEW at SLAS Europe 2026 in Vienna
Chemetrian is heading to Vienna. From 19–21 May 2026, the AI-driven chemistry software startup will exhibit at the SLAS Europe 2026 Conference and Exhibition, held at the Vienna Congress & Convention Center (Messe Wien), as one of twelve startups selected for the Society for Laboratory Automation and Screening's (SLAS) Innovation AveNEW program. Visitors can find the Chemetrian team at Stand 1101-B.
Innovation AveNEW is SLAS's flagship showcase for emerging life sciences and laboratory technology companies, with participants chosen by an expert review panel on the basis of technical merit, commercial feasibility, strength of management team, and potential impact on the field. The 2026 cohort, drawn from six countries across Europe, North America, and Australia, will exhibit alongside more than 130 established technology providers in front of an international audience.
At Stand 1101-B, the Chemetrian team will give live demonstrations of its platform: Bayesian process optimization, GPU-accelerated DFT-level descriptor calculation, predictive machine learning modeling, agentic AI literature search and reaction condition recommendation, retrosynthesis, and other workflows designed for synthetic chemists.
The Chemetrian team will be on the exhibition floor for all three days of the conference. To book a one-on-one meeting in advance, or to learn more about the platform, visit www.chemetrian.com.
Chemetrian develops user-friendly software that enables scientists to harness the power of artificial intelligence in chemistry research. Founded in 2024, the company's mission is to accelerate the discovery of breakthrough medicines, materials, and other molecules by making machine learning tools accessible to everyone.
Innovation AveNEW is the Society for Laboratory Automation and Screening's flagship showcase for emerging life sciences and laboratory technology companies. Participants are selected by an expert review panel based on technical merit, commercial feasibility, strength of management team, and potential impact on the field.