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Direct Literature Discovery
Precise keyword and citation-based search—no compression, no approximation.
The first AI that truly understands your research like a fellow researcher.
Deep scientific understanding • Rigorous analysis • Hallucination-free insights
From literature review to idea validation, grounded in verified research
Today's AI tools can't handle the depth research requires. They oversimplify complex findings, invent citations, and offer little beyond summarization.
AI simplification loses critical scientific nuances—methodologies, parameters, and subtle findings get buried.
Hallucinated references, unreliable sources, conflicting claims—you can't trust the output.
Scinapse AI follows the same rigorous workflow as scientific researchers
each step handled by dedicated AI agents
Autonomous multi-iteration search for optimal literature discovery
Enter research area + Provide feedback throughout
Routes to appropriate specialized agents based on your needs
Generate detailed reports grounded by academic papers
Insights adapted to your research context and validated by scientific literature.
Most AI tools convert papers into vector embeddings —sacrificing the exact details scientific work demands.
Vector embeddings compress research into simplified representations—destroying the precise distinctions that scientific work demands.
These are fundamentally different processes. Embeddings can't tell.
Research A: O₂ plasma (100W, 30s, 0.5 Torr)
Research B: CF₄ plasma (150W, 60s, 0.3 Torr)
→ LLM sees: "Similar hydrophobic treatment"
RAG retrieves by vector similarity, not scientific merit:
Built on a fundamentally different architecture that preserves scientific precision:
Precise keyword and citation-based search—no compression, no approximation.
Papers selected by scientific influence within your specific research domain.
AI reads and synthesizes validated information—doesn't judge relevance or quality.
By bypassing compression and using citation networks, we maintain the precision rigorous research demands.