News
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.
The organizations are collaborating to deliver an integrated AI experience for high throughput experimentation (HTE).
