Deep Forest Sciences develops Prithvi, an AI assistant that accelerates scientific discoveries in medicine, materials, molecules, and designs using AI-driven insights with minimal data. Prithvi is powered by DeepChem infrastructure and has been deployed on multiple drug discovery, energy, and molecular design projects. The company guides the development of DeepChem, an open-source framework for drug discovery. Prithvi leverages large scientific foundation models and cutting-edge AI techniques applied to proprietary data, blending human intuition with machine intelligence. Recent open-source research contributions include frameworks for genomic variant calling, protein language models for function prediction and design, polymer generative pipelines, and differentiable ODE solving infrastructure. Blog posts detail no-code tools for fine-tuning chemical foundation models, relative binding free energy calculations, molecular dynamics, and DNA-encoded library machine learning analysis.