Scientific search for AI agents
Connects AI agents to research knowledge and tools built for scientific workflows.
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Coding / product dossier
Connects scientific AI agents to research papers and tools with traceable sources.
Product brief
Lune is Exa.ai for scientific research. It connects AI agents to research knowledge and tools built for scientific workflows, and provides high-quality knowledge grounding based on papers from top-tier academic conferences. 10x the efficiency and trustworthiness of literature review, experimental design, writing and peer review. From early ideas to publication, it helps researchers and technical teams move faster with traceable sources, deeper grounding, and rigorous, evidence-backed decisions.
Why we selected it
Targets researchers and technical teams with scientific search and traceable paper-based grounding for agents. It earns a small relevance bonus from recent coverage of AI research teams and AI-assisted archival
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Capability scan
Only capabilities supported by the product information we collected are listed here.
Connects AI agents to research knowledge and tools built for scientific workflows.
Provides knowledge grounding based on papers from top-tier academic conferences.
Provides traceable sources to support evidence-backed research decisions.
Supports literature review, experimental design, writing and peer review, from early ideas to publication.
Best-fit use cases
FAQ
Lune is intended for researchers and technical teams using AI agents in scientific workflows.
It connects agents to research knowledge and tools built for scientific workflows.
The description identifies papers from top-tier academic conferences as the basis for its knowledge grounding and states that sources are traceable.
Lune supports literature review, experimental design, writing and peer review, covering work from early ideas to publication.