Geometric Deep Learning. Tailored to your Lab.
Access the same Molecular Graph Neural Networks used by top-tier pharma. We custom-fit our models to your specific targets, giving you Big Pharma screening power without the multi-million dollar infrastructure.
FDA Compliance without the Overhead
Mid-sized biotechs shouldn't be priced out of innovation. We provide the specific Molecular GNN technology required to navigate FDA Modernization Act 2.0, allowing you to replace costly animal trials with precise in silico New Approach Methodologies (NAMs).
3D Molecular Topology
Standard AI treats molecules like flat images. We use Geometric Deep Learning that understands 3D topology and rotational invariance. This allows us to accurately predict binding affinity where other "black box" models fail.
Early Toxicity Screening
Late-stage failure is the most expensive cost in pharma. Our Graph Neural Networks screen millions of candidates for toxicity risks (ADMET) in minutes, ensuring you only advance viable candidates to wet-lab trials.
Explainable AI
Regulators reject Black Boxes. We use Physics-Informed models that respect biological laws, making them auditable.
FDA 2.0
The FDA Modernization Act 2.0 authorizes non-animal testing methods. Our models are purpose-built to serve as high-fidelity NAMs, helping you clear regulatory hurdles faster using verifiable computational data.
Data Efficiency
You don't need Google-sized datasets. Our PINNs use physical constraints to learn accurately from smaller, proprietary datasets.
Compatible with your Lab Stack
Our API connects directly to your existing Electronic Lab Notebooks and cloud data lakes, enhancing your current workflow with predictive intelligence.
