Prior Art & Novelty Search
SciBase helps technical ideas, patent drafts, and R&D proposals locate similar evidence across papers, patents, books, and standards. It breaks down "has anyone done this?" into technical elements, similar sources, claim differences, and novelty risks.
From technical ideas to explainable novelty conclusions
This scenario needs more than a list of similar documents: it needs evidence alignment, difference explanations, and risk stratification to support patents, R&D, and investment decisions.
Scenario Examples
From idea parsing to risk conclusions, every step needs traceable evidence - not just a black-box score.
Structured parsing of technical ideas
Turn a product idea or claim draft into objects, actions, materials, processes, constraints, and effects - searchable, comparable technical elements.
Similar papers and patents localization
Recall similar technical paths across papers, patents, books, and standards, and anchor evidence to specific paragraphs, figures, claims, or citation context.
Claims vs. evidence snippets comparison
Align claim elements with similar evidence line by line; separate full coverage, partial coverage, near implementations, and uncovered gaps to give reviewers structured rationale.
Risk, whitespace, and opportunity assessment
On top of evidence alignment, output novelty risk, revision directions, under-covered whitespace, and next-round search or expert-review recommendations.
Explore other core scenarios
Prior art focuses on technical similarity and risk judgment; other pages cover the Research Agent and enterprise knowledge mining.
Research Agent Data Source
Provides papers, patents, books, evidence spans and citation context for Auto-Research, Deep Research and tech survey agents, supporting automated reviews and report generation.
Enterprise Data Mining
External knowledge enrichment for B2B clients: linking enterprise projects, R&D directions and client needs with global papers, patents, authors, institutions and companies.