NExTNet

What is NExTNet?

NExTNet is a life sciences AI knowledge platform that combines Copilot research assistants with a Connected Search Engine. It's built on a semantic web that unifies biomedical data, helping researchers find relevant information and connections much faster than traditional methods.

Top Features:

• Evidence-backed AI assistant: delivers accurate, hallucination-free answers grounded in verified scientific sources.
• Connected Search Engine: visualizes relationships across literature, genes, drugs, targets, and diseases through interactive maps.
• Unified knowledge base: integrates data from ChEMBL, Google Scholar, PubMed, Ensembl, and more into one platform.
• Collaborative tools: allows teams to share discoveries, comment, and work together across disciplines.

Use Cases:

• Literature review: find relevant papers in minutes instead of weeks of manual searching.
• Drug discovery: identify connections between genes, proteins, and pathways to design better therapies.
• Gap analysis: uncover missing connections and unexplored areas in current research.
• Knowledge management: create institutional memory and preserve research insights.

Who Can Use NExTNet?

• Individual researchers: scientists looking to kickoff projects and pinpoint relevant papers quickly.
• Biotech startups: teams needing comprehensive data without requiring a full data team.
• Academic labs: professors, students and doctoral candidates with limited research budgets.
• Pharma companies: organizations requiring secure, compliant research tools with SSO integration.

Pricing

NExTNet is completely free to use. There are no paid plans or subscriptions required to access its core features.

Pros and Cons

Pros:

• Time efficiency: reduces weeks of research to minutes by quickly identifying relevant papers.
• Free tier available: allows users to test core features before committing to paid plans.
• Visual knowledge mapping: helps discover unexpected connections through interactive brainstorming maps.
• No hallucinations: uses RAG technology to ground AI responses in verified scientific sources.

Cons:

• Learning curve: interactive brainstorming maps may take time to understand for new users.
• Enterprise features pending: advanced security and integration features still coming soon.
• Limited database scope: certain data types like patents and clinical trials not yet integrated.
• Specialized focus: primarily valuable for life sciences rather than general research purposes.

FAQs:

1) How does NExTNet differ from general AI tools like ChatGPT?

NExTNet specializes in life sciences with evidence-backed answers from verified scientific sources, eliminating hallucinations common in general AI tools.

2) Is a subscription required to try NExTNet?

No, NExTNet offers a free tier with core features so users can explore the platform before upgrading to premium plans.

3) How does the Connected Search Engine work?

It visualizes relationships between scientific entities as interactive maps, revealing connections across literature, genes, drugs, and diseases.

4) Can teams collaborate on NExTNet?

Yes, NExTNet includes sharing and collaboration features that let researchers work together and comment on discoveries.

5) What databases does NExTNet integrate?

NExTNet unifies data from multiple sources including ChEMBL, Google Scholar, PubMed, and Ensembl into one semantic web.