The AI Co-Scientist: Why Scientific Intelligence Requires More Than Language Models
For centuries, Indian chemists have visually communicated their ideas through hand-drawn illustrations—from ancient palm leaf manuscripts depicting herbs and minerals in Rasa Shastra texts to the detailed lab notebooks of pioneers like C.V. Raman at IISc Bangalore.
Enhancing Scientific Insight the Rise of AI Augmented-Research in India
Discover how integrated formulation workflow software accelerates R&D cycles and drives innovation in materials and food science industries and beyond.
This article discusses how integrating technologies like AI, machine learning, and data analytics can enhance drug development efficiency in India's pharmaceutical industry.
2025 was a year defined by momentum, across science, data, and the rapidly evolving ecosystems that enable modern R&D. Organizations around the world continued to push for greater connectivity, smarter workflows, and more unified scientific environments.
Software to automate experiment design, planning, execution, and analysis for high throughput synthesis, process development, and materials studies.
Early-stage biotech growth is often limited by fragmented data management. Learn how better data foundations accelerate research and scale.