Next-Generation Knowledge Infrastructure for Humans & AI
SciBase covers open academic papers, books, patents and other knowledge assets, continuously processing cross-source data into computable, interpretable, traceable, and agent-callable AI-Ready Knowledge Objects.

Knowledge Overview Across Papers, Books & Patents
SciBase is not a traditional literature retrieval system - it is an AI-Ready academic knowledge infrastructure for the LLM era, emphasizing comprehensiveness, timeliness, and agent usability.

Core Scenarios for Humans & Agents
The core value of SciBase goes beyond retrieval - it serves as the upstream knowledge data infrastructure for agents and enterprise systems.

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.

Prior Art & Novelty Search
For a given technical idea, discover similar technologies across papers, patents, books and product docs, compare claims, assess novelty risks and identify white-space opportunities.

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.
SciBase Five-Layer Data Architecture
From multi-source ingestion and raw retention to standard parsing, knowledge objects, evidence layers and index governance, SciBase forms a traceable, computable data foundation callable by agents.
