Molecular Design

We develop customized AI models that can learn from relevant experimental data, to predict and generate, design/re-design, or engineer novel and pre-existing biomolecules and small-molecules and tailor them to be functionally apt possessing unique biochemical or biophysical properties.

Training and Support

We equip clients with the necessary skills to utilize AI tools effectively through thorough training sessions  and ongoing to support, ensuring seamless integration into their flows. 

Bio-Experiment Design

We offer AI-driven strategies and result focused predictions for designing and optimizing your experimental workflows in the broad domains of Biotechnology, Bio-Nanotechnology, biomolecule and small molecule engineering, and beyond. 

Continuous Adaption

We establish feedback mechanisms for continuously ongoing model refinement, adapting to new experiments data and evolving client needs.

Data Analysis and Integration

We analyze and integrate various data sources, including experimental results, simulations, and existing literature, to build comprehensive datasets for training tailored AI models.