Overview
SciBite provides semantic analytics software that unlocks scientific data using ontologies covering over 120 life science entities like genes, drugs, and diseases. It enables pharmacovigilance teams to assess drug safety, identify hidden relationships in vast datasets, and ensure FAIR data principles for workflows. The platform supports pharma and biotech in drug discovery, bioassay registration, and AI-ready data preparation through tools like TERMite for high-speed entity recognition.
Frequently asked questions
- What are SciBite's key capabilities for pharma R&D?
- SciBite offers semantic analytics with ontologies for over 120 life science entities, TERMite for rapid named entity recognition processing a million words per second, and tools to identify drug-target-disease relationships, standardize data to FAIR principles, and build knowledge graphs.
- How does SciBite support drug safety and pharmacovigilance?
- SciBite helps meet regulatory expectations by enabling quick assessment of safety data for drugs and similar market products, highlighting overlooked relationships via semantic search to monitor adverse events systematically.
- What industries and geographies does SciBite serve?
- SciBite supports leading pharma and biotech organizations globally in digital transformation, with partnerships like Elsevier, Sinequa, and L7 Informatics for life sciences R&D, drug safety, and data workflows.