Resources

Atinary and Chemspeed’s Demo Lab Opening

Atinary & Chemspeed launched their Demo Lab in Basel, showcasing AI and robotics for autonomous R&D, augmenting scientists and accelerating discovery.

Atinary, ABB, Mettler-Toledo, and Agilent are building the first Self-Learning and Self-Driving Lab of its kind

Atinary collaborates with ABB Robotics, Mettler-Toledo, and Agilent to launch the first Self-Driving Lab of its kind in accelerating molecular discovery.

Atinary is now listed on AWS Marketplace

Atinary announces availability of its SDLabs platform in AWS Marketplace.

Atinary’s SDLabs Platform is SOC 2 Compliant

Atinary’s SDLabs Platform is now SOC 2 compliant, ensuring top security, availability, and trust for scientists and R&D teams worldwide.

Atinary Joins the AWS Partner Network

Atinary and Amazon Web Services (AWS) partner to accelerate AI-driven R&D and Scientific Discovery.

Dr. Stephen Buchwald Joins Atinary’s Advisory Board

Atinary welcomes Dr. Stephen Buchwald, pioneering chemist behind Buchwald–Hartwig reaction, to advance AI-driven molecular discovery and innovation.

Atinary’s Multi-Fidelity ML Algorithm Now Published

Atinary's latest MFBO study in Nature Computational Science shows how mixing high- and low-fidelity experiments boosts R&D and cuts costs.

New machine learning research article from Atinary

Atinary announces their latest research on Multi-fidelity Optimization (MFBO), a machine learning technique that optimizes several information sources with different fidelities.

New publication for Atinary and IBM Research

🔬🚀 Our latest article, a collaboration between Atinary & IBM Research, was published in the May 2024 issue of Chemical Science from the Royal Society of Chemistry!

New publication for Atinary in Chimia

🔬🚀 Our latest article describes a framework and lay out the key technologies to accelerate R&D and optimize experiment planning.