Evidence Synthesis for Life Sciences Organizations
Software for Evidence Synthesis
Cross-Functional Evidence Platform
Transform your evidence generation and synthesis capabilities with AI-powered automation across every function. Nested Knowledge helps pharmaceutical and medical device companies streamline systematic literature reviews, evidence synthesis, and insights generation throughout the product lifecycle.
Nested Knowledge Software
Nested Knowledge® offers a comprehensive platform for executing, analyzing, and sharing any review type, from rapid to systematic. In AutoLit®, Search, screen, and extract data with human-in-the-loop AI assistance. Complete rapid reviews in under 30 minutes, or save over 70% of time on systematic reviews. For every project, your Synthesis page will be created automatically, enabling you to visualize, analyze, publish, embed, and share insights from your project, giving you and your team a Living Evidence Library on your key topics of interest.
AutoLit
Synthesis
Everyone Needs Evidence Synthesis
- Automated landscape assessment
- Competitive intelligence reviews
- Gap analysis
- Integrated evidence planning
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- AI-powered synthesis
- Real-time monitoring
- Interactive visualizations
- Inclusion Criteria and Endpoint Mapping
Partner Network - Access our network of specialized evidence synthesis service providers. View Evidence Synthesis Services →
- Phase II/III trial planning
- Clinical Evaluation Reports (CERs)
- Regulatory responses
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- Protocol optimization
- Submission document generation
- Living literature surveillance
Partner Network - Access our network of specialized evidence synthesis service providers. View Evidence Synthesis Services →
- Scientific Communication Platform development
- Advisory Board preparation
- Indication exploration
Download ATGAM poster (PDF)
- KOL insights mapping
- Publication planning
- AI-assisted Targeted Literature Review
- Auto-generated synthesis outputs
Partner Network - Access our network of specialized evidence synthesis service providers.
Technical Integration Options - Envision Pharma Group
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- Evidence Synthesis for HTA submission support
- Clinical/Economic/Humanistic systematic literature reviews
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- Full, AI-supported Workflow - Search, Screening, Extraction, Critical Appraisal
- Templates for key geographies
- Audit-ready exports
- Living, web-based visuals
Partner Network - Access our network of specialized evidence synthesis service providers.
Technical Integration Options - DoBO from MArS Market Access
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- Computable phenotype development
- Validation cohort identification
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- Search for published RWE studies
- Code List and Validation extraction
- Flexible external source addition
Partner Network - Access our network of specialized evidence synthesis service providers.
Technical Integration Options - Navidence.
Read About Our Navidence Partnership →

Living Evidence Library
- Conventional reviews result in, at best, a static Excel sheet for future reference.
- Replace these reviews with Living Evidence Libraries, created automatically in Synthesis as soon as you execute any project in AutoLit®.
- Reviews in Nested Knowledge go beyond the literature: add in active trials, real-world data, and internal data to understand the full evidence landscape in your therapeutic area.
- Each Synthesis page contains visual qualitative and quantitative tools, including network meta-analyses for every endpoint), with the ability to build custom, exportable Dashboards.
- Own your reviews: If you own the ‘nest’ in Nested Knowledge, you can easily edit, update, and build upon your existing work, allowing you to share, expand, and refresh critical evidence throughout the product lifecycle.
Seamless Integration
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We will work with you from day one to ensure a seamless transition to new ways of working. Our unified evidence architecture connects teams, automates workflows with AI, and drives insights across your organization. With enterprise-grade security and compliance features, Nested Knowledge seamlessly integrates into your existing processes while dramatically improving efficiency.