Sravathi AI Technology Pvt Ltd utilizes proprietary AI algorithms and molecular modeling to design and develop drug molecules, polymers, and catalysts, enhancing the efficiency of chemical synthesis and in-vitro screening. The company addresses the challenge of predicting chemical reactions and optimizing yields at atomic and electronic levels, facilitating faster drug discovery and development processes.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional drug discovery and chemical synthesis rely on time-consuming and resource-intensive experimental methods. Predicting chemical reaction outcomes and optimizing molecular properties at the atomic level remains a significant challenge, hindering the efficient development of new drugs, polymers, and catalysts.
Solution
Sravathi AI Technology leverages proprietary AI algorithms and molecular modeling techniques to accelerate the design and development of novel drug molecules, polymers, and catalysts. Their hybrid intelligence approach combines human expertise with AI-driven predictions to enhance chemical synthesis, property measurement, and in-vitro screening processes. By predicting chemical reactions and optimizing yields at the atomic and electronic levels, Sravathi AI facilitates faster and more efficient drug discovery and chemical product development. The platform aims to navigate the vast chemical space and identify promising candidates with greater accuracy and speed.
Target Audience
Sravathi AI's primary customers are pharmaceutical companies, chemical companies, and research institutions involved in drug discovery, materials science, and chemical synthesis.
Features
- Proprietary AI algorithms for predicting chemical reaction outcomes and optimizing molecular properties.
- Molecular modeling capabilities for designing and simulating molecules at the atomic level.
- Hybrid intelligence approach combining human expertise with AI-driven predictions.
- In-silico chemistry AI platform for drug discovery and chemical product development.
- Free Energy Perturbation calculations for accurate binding affinity predictions.
- DFT (Density Functional Theory) calculations for understanding electronic structure and reactivity.