News & Publications
Atinary and Chemspeed are teaming up to accelerate R&D with AI and automation. Their no-code AI and automation platforms are now fully integrated, enabling self-driving labs with closed-loop optimization. Live demos launch in Basel (Q3 2025) and Boston (Q4 2025), showcasing faster, smarter experimentation.
Atinary and Dr. Angelo Frei’s lab at the University of York secure funding to revolutionize metalloantibiotic discovery, leveraging AI and high-throughput screening to combat antimicrobial resistance.
Join our webinar to explore how Takeda is accelerating chemical R&D with AI, automation, and HTE—paving the way for self-driving labs.
Atinary welcomes Professor Philippe Schwaller to its Scientific Advisory Board to advance AI-driven molecular discovery and Self-Driving Labs™ technology.
Atinary collaborates with the lab of Prof. Rogelio Hernández-López at Stanford University to advance T cell engineering using AI, optimizing synthetic circuits for safer, more effective cell therapies.
Atinary at Potenti'ELLE en Science to inspire high school students, showcasing our no-code AI platform and Self-driving Lab technology, SDLabs, and diverse STEM careers.
Dr. Paco Laveille, a global leader in high-throughput experimentation, chemistry, and catalysis R&D, joins Atinary’s Scientific Advisory Board to further accelerate AI-driven innovation and scientific discovery.
The Atinary Lab will demonstrate cutting-edge AI and self-driving lab technology in collaboration with Takeda Pharmaceuticals.
Atinary announces their latest research on Multi-fidelity Optimization (MFBO), a machine learning technique that optimizes several information sources with different fidelities.
This collaboration will integrate Atinary’s AI-driven and automated process optimization technology with Snapdragon’s state-of-the-art laboratories and process development capabilities to tackle complex challenges in drug development.
