Nektar offers an AI‑driven platform that automates the simulation of drug‑target interactions and pharmacokinetic properties, delivering efficacy, safety, and ADMET predictions in minutes. Users upload molecular structures and receive ranked candidate lists, binding affinity estimates, and detailed pharmacology reports via a web dashboard, with API and export options for seamless integration into drug‑discovery pipelines.
Funding
$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
7OFounders
Product
Problem
Pharmaceutical companies and biotech researchers need faster, more accurate methods to predict how new drug candidates will behave in the body, but existing computational tools are often slow, require extensive manual setup, and lack integration with modern AI techniques.
Solution
Nektar provides an AI‑driven platform that automates the simulation of drug‑target interactions and pharmacokinetic properties. By combining deep‑learning models with high‑performance computing, the system generates predictive insights on efficacy, safety, and metabolism in minutes rather than weeks. Users upload molecular structures, and the platform returns ranked candidate lists, detailed binding affinity estimates, and ADMET predictions, all accessible through a web‑based dashboard. Results are exported in standard formats for seamless integration with existing drug‑discovery pipelines, accelerating decision‑making and reducing experimental costs.
Target Audience
Primary users are pharmaceutical R&D teams, biotech drug‑discovery groups, and contract research organizations seeking to prioritize compounds early in the development cycle.
Features
- Deep‑learning models trained on millions of curated bioactivity and ADMET data for rapid property prediction
- Automated workflow that ingests SMILES or 3D structures and outputs binding affinity, toxicity, and pharmacokinetic profiles
- Scalable cloud infrastructure delivering results in seconds to minutes, with on‑premise deployment options for sensitive data
- Interactive dashboard with visualizations of predicted binding modes, dose‑response curves, and confidence intervals
- API and file‑export capabilities compatible with common cheminformatics tools and LIMS systems