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Discover

AI-powered search and synthesis of biomedical evidence from internal systems, published literature, and third-party sources for target identification, biomarker discovery, and disease biology research.

Solution by Causaly
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Overview

Causaly Discover is an AI-powered knowledge discovery platform designed to enable life sciences research workforces at scale. It provides a central hub for content discovery and insight generation by connecting internal systems, published scientific literature, and third-party sources, making all of this knowledge accessible through a single, conversational interface. Discover is built for cross-functional life sciences teams including Early Discovery, Medical Affairs, Clinical Development, HEOR, and more.

Powered by Causaly Copilot, Discover allows scientists to ask questions in simple, conversational language and receive structured, cited answers they can trust. Its generative AI capabilities are designed to meet scientific standards, driving broad organizational adoption while maintaining the rigor that life sciences research demands.

Core AI Capabilities

  • Conversational search using AI-powered chat to answer complex biomedical questions quickly
  • AI-generated summaries that retrieve the most relevant evidence in seconds
  • Automatic routing to the best application to answer a given question, surfacing unique insights such as causal relationships
  • Scientific RAG™, Causaly's proprietary search and retrieval technology that works in tandem with a knowledge graph to search, retrieve, and rank internal and external data, ensuring relevant, accurate, and complete answers

Research Workflow Features

  • Radically simplified research workflows through Causaly Copilot integration
  • Access to both internal databases and external sources including preclinical data, clinical data, preprints, and customer internal information
  • Highlighted, evidence-based results that surface the most relevant parts of source documents based on the query
  • Ability to save and share knowledge across teams directly within the platform

Team Workspaces and Collaboration

  • Dedicated Workspaces that break down silos around institutional knowledge
  • Organize and store answers by research topic for easy retrieval
  • Share, interact, and collaborate with colleagues within a shared environment
  • Built-in alerts to stay up-to-date on new evidence as it becomes available

Key Use Cases Across R&D

  • Target identification and prioritization: Leverage mature AI research tools and workflow automations to understand the complete picture of biomedical information and make stronger target prioritization decisions
  • Biomarker discovery: Probe biological function, expression patterns, disease associations, mechanism of action, and more by asking questions through the scientific AI copilot
  • Disease pathophysiology: Explore and share knowledge about environmental and lifestyle mechanisms, anatomy, physiology, molecular processes, disease heterogeneity, and more

Professional Services and Change Management

  • Access to a dedicated team of PhD scientists to support clients in getting the most out of Discover
  • Expertise spanning AI strategy, enterprise-level research science, deployment, and program management
  • Ongoing day-to-day research support throughout the client journey, from initial strategy and business alignment through to full deployment

Causaly Discover is available via Causaly Cloud, which brings together millions of data sources to support the full R&D process. The platform is designed for enterprise deployment across life sciences organizations, with built-in infrastructure for knowledge management, collaboration, and compliance with scientific standards.

Meta

Domain
Research Intelligence & Discovery
Subdomain
Scientific Literature Mining & Knowledge Discovery
Software type(s)
Copilot / Assistant
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCROPharma
Development stage(s)
ClinicalPreclinical / Pre-MarketResearch & Discovery
Target user(s)
Research ScientistBioinformatician / Computational ScientistMedical Affairs ProfessionalIT / Systems Admin / Data Engineer
Tag(s)
Uses AI