Enterprise Data Mining Service
SciBase connects internal projects, product lines, and customer needs to global papers, patents, authors, institutions, companies, and topic evolution for enterprise R&D, investment research, consulting, intellectual property, and technology intelligence teams.
From internal enterprise topics to external knowledge networks
The core of this scenario is turning existing R&D subjects into sustainably maintainable knowledge assets, so external papers, patents, and institutional dynamics support internal decisions.
Scenario Examples
Each direction targets real enterprise workflows: from topic modeling, through external enrichment, to monitoring and system integration.
Enterprise R&D topic modeling
Organize projects, product lines, and customer needs into stable topics, unify synonyms, technical hierarchy, and scope of interest, and form anchors for downstream search and monitoring.
Linking external papers and patents
Around enterprise topics, link global papers, patents, authors, institutions, and companies, and enrich internal projects, customer profiles, and R&D roadmaps with external knowledge.
Continuous technology intelligence monitoring
Establish watches on key topics, competitors, institutions, and experts to surface new papers, patents, partnerships, and topic shifts on an ongoing basis, supporting weekly reports, monthly reviews, and early warnings.
Enterprise systems and Agent integration
Use foundational APIs and Agent-native APIs to bring external knowledge into enterprise knowledge bases, CRM, R&D management systems, or internal agent workflows.
Explore other core scenarios
This enterprise scenario emphasizes continuous services and system integration; the other two pages focus on Agent-driven research and prior-art novelty assessment.
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.