Discover, verify, and connect scientific knowledge across disciplines to accelerate research and enhance scientific integrity.
Our knowledge graph transforms how researchers discover and verify scientific claims
Our advanced verification system ensures claims are accurately extracted, validated across sources, and directly traceable to peer-reviewed research.
Discover unexpected connections between scientific claims across siloed domains, enabling breakthrough insights that traditional research methods miss.
Stay at the forefront of scientific discovery with continuous updates as new research emerges.
Our advanced technology transforms unstructured scientific literature into verified, connected knowledge
Our AI-powered system with domain-specific LLMs extracts scientific claims from research papers, preprints, and other literature across all disciplines.
Each claim undergoes verification through our proprietary cross-referencing system that ensures accuracy, reliability, and explicit citation trails.
Our semantic knowledge graph technology identifies and establishes connections between related claims across different research domains, revealing hidden insights.
Access the connected knowledge through our research intelligence platform or enterprise API, enabling faster discovery and evidence-based decisions.
Research organizations use SciClaim to break down silos between different scientific domains, discovering unexpected connections that lead to breakthrough insights.
SciClaim helps research organizations stay at the forefront of scientific discovery, enabling them to identify promising research directions faster and more efficiently.
Pharmaceutical companies leverage SciClaim to accelerate drug discovery by accessing a comprehensive view of scientific claims across multiple domains.
SciClaim provides pharmaceutical researchers with the context they need to make more informed decisions, potentially reducing time-to-market for new treatments.
Healthcare providers use SciClaim to access verified scientific knowledge that informs clinical decisions and treatment protocols.
SciClaim helps healthcare providers stay current with rapidly evolving scientific knowledge, potentially improving patient outcomes through evidence-based practice.
Technology partners integrate SciClaim's knowledge graph into their own solutions to provide users with verified scientific information.
SciClaim's API allows technology partners to focus on their core competencies while leveraging our comprehensive scientific knowledge graph.
Common questions about SciClaim
We're starting with biomedical science as our first domain, where we're building specialized models and knowledge graph structures. Our roadmap includes expanding to adjacent fields with the highest potential impact through domain-trained systems that create field-specific knowledge graphs, ultimately working toward comprehensive cross-disciplinary coverage.
Unlike general AI models that can hallucinate and lack source traceability, SciClaim builds a structured knowledge graph with explicit citation trails. This enables more reliable verification and cross-disciplinary connections that generic AI cannot provide, making it ideal for high-stakes scientific applications.
Our verification approach combines domain-tuned LLMs with a multi-stage validation process. We're developing systems that extract claims from peer-reviewed literature and preprints, then cross-reference them across multiple publications to establish confidence levels. During our R&D phase, we're refining these verification methods to ensure the highest accuracy before scaling to production.
While we're in the development phase, we're designing SciClaim with integration capabilities in mind. Our architecture will include a comprehensive API to allow future integration with reference managers, literature review tools, and other research software. We're currently defining these integration points and welcome early discussions with potential partners interested in future collaborations.
SciClaim is designed to incorporate new scientific claims continuously as research emerges. During our initial development phase, we're focused on building the core infrastructure that will eventually monitor major journals, preprint servers, and other scientific sources to ensure the knowledge graph remains current. We're starting with batch updates while developing the real-time ingestion systems.
SciClaim is uniquely focused on scientific claims rather than general knowledge. We emphasize verification, cross-disciplinary connections, and the specific needs of scientific research. Our knowledge graph is built specifically for accelerating scientific discovery.
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