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System

AI-powered evidence synthesis platform for biomedical and scientific research with a vast interconnected knowledge graph.

System screenshot

Category: Automation

Price Model: Freemium

Audience: Business

Trustpilot Score: N/A

Trustpilot Reviews: N/A

Our Review

System: AI-Powered Evidence Synthesis for Scientific and Medical Research

System is an AI-powered framework developed by System Inc., a Public Benefit Corporation, designed to model the world as an interconnected system using a quantitative approach. It enables advanced literature review and evidence synthesis through its comprehensive System Graph, which contains over 13.9 million findings, 112,000 concepts, and 4.2 million relationships extracted from verified sources. Ideal for researchers and organizations in biomedicine and health innovation, System provides accurate, transparent summaries and integrates with key databases like the EMBL GWAS Database. With applications such as WholeHealth and Synthesis, it supports biomedical research and AI co-pilot solutions for physicians and medical researchers. The platform offers a flexible API for building custom apps and models, allowing for nuanced customization with features like relevance scoring, detailed summaries, and statistical insights. Used by leading organizations including The Novartis Foundation and Atropos Health, System combines AI-driven analysis with robust tooling to deliver high-relevance results—demonstrating 81% citation relevance after fine-tuning in real-world evaluations.

Key Features:

  • System Graph: A vast knowledge base with 13.9M findings, 112K concepts, and 4.2M relationships from verified sources.
  • AI-Powered Literature Synthesis: Generates accurate, transparent summaries of scientific literature.
  • API for Custom Applications: Enables developers to build custom apps and models.
  • Evidence Synthesis Tools: Applications like WholeHealth and Synthesis for biomedical research.
  • Integration with Databases: Connects with EMBL GWAS Database and other key scientific resources.
  • Relevance Scoring & Statistical Insights: Provides nuanced analysis and evaluation of research relevance.
  • Fine-Tuning Capabilities: Improves output accuracy and relevance through customization.
  • Support for AI Co-Pilot Solutions: Designed for integration into physician and researcher workflows.

Pricing: System offers a freemium model with a free tier for basic access and a paid tier for advanced features and API usage.

Conclusion: System is a powerful, scalable AI platform that transforms how scientific and medical research is conducted, offering deep insights, seamless integration, and cutting-edge evidence synthesis capabilities—making it an essential tool for researchers, clinicians, and innovators in health and life sciences.

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