NaS Research provides the NaS Cortex, an AI‑driven knowledge architecture that aggregates, normalizes, and interlinks heterogeneous life‑science data—including genomics, proteomics, metabolomics, and literature—into a unified, searchable graph. Researchers can query the Cortex via natural‑language or structured queries, visualize relationships, and integrate results through RESTful and GraphQL APIs into LIMS, notebooks, and bioinformatics pipelines, accelerating hypothesis generation and discovery.
Funding
Funding not disclosed
Founders
Product
Problem
Life science researchers struggle to integrate vast, heterogeneous datasets—genomics, proteomics, literature, and experimental results—into a coherent knowledge base, slowing hypothesis generation and discovery.
Solution
NaS Research offers the NaS Cortex, a digital knowledge architecture that aggregates, normalizes, and interlinks life‑science data across multiple domains. The platform applies AI-driven semantic mapping to create a unified, searchable graph of entities such as genes, proteins, pathways, and publications. Researchers can query the Cortex using natural language or structured queries to retrieve relevant evidence, visualize relationships, and identify novel connections. Continuous automated ingestion pipelines keep the knowledge graph up‑to‑date with the latest public repositories and proprietary datasets. The system provides API and web‑based interfaces that integrate with existing laboratory information management systems (LIMS) and data analysis tools, enabling seamless incorporation of the Cortex into daily workflows.
Target Audience
Primary users are academic and industry life‑science researchers, bioinformaticians, and drug‑discovery teams that need a unified, AI‑enhanced view of multi‑omics and literature data.
Features
- AI‑powered semantic integration of genomics, proteomics, metabolomics, and literature sources into a single knowledge graph
- Natural‑language and SPARQL‑style query interfaces for rapid information retrieval
- Real‑time data ingestion pipelines that normalize and version new datasets automatically
- Interactive network visualizations that highlight functional relationships and pathway enrichments
- RESTful and GraphQL APIs for embedding the Cortex into LIMS, notebooks, and bioinformatics pipelines
- Role‑based access controls and audit logging to protect proprietary data while enabling collaboration