News & Publications
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).
Atinary reaches a major milestone: 5️⃣ years working to transform how science and R&D are done. Happy anniversary Atinary! 🎈
Atinary sponsors the “LLM Hackathon for Applications in Materials Science & Chemistry” at EPFL, Lausanne. Congratulations to our 2 award-winning projects!
In Episode 2 of Atinary's Webinar series, we discussed the capabilities of Atinary SDLabs and IBM's RoboRXN in accelerating chemical reaction optimization.
