AI-Powered Evidence Synthesis
for Research
From literature search to publication-ready reports — accelerated by AI
▸ Screen 1000+ papers in minutes
▸ AI-assisted data extraction
▸ Automated forest plots & funnel plots
▸ PRISMA 2020 compliant workflows
▸ Collaborative team reviews
Evidence synthesis, agent by agent.
Smart Literature Search
Comprehensive search across PubMed, Scopus, and more — deduplicated and organized automatically.
Statistical Analysis
Meta-analysis, subgroup analysis, sensitivity tests, and publication bias detection built in.
Content & Text Analysis
Computational content analysis, thematic coding, and NLP-driven text synthesis beyond traditional review methods.
AI-Powered Extraction
VLM agents read papers and extract structured data per your codebook — traceable and governed.
ICR Data Center
Run intercoder reliability tests for screening, coding, extraction, and human-model agreement with audit-ready outputs.
Autopilot Workflows
Launch guided or one-click review pipelines from screening through extraction, analysis, and report drafting.
Model-Based Meta-Analysis
Support MASEM-style model workflows, including path models, mediation, and second-order synthesis designs.
Advanced Network MA
Compare multiple interventions with network geometry, consistency checks, league tables, and ranking outputs.
Multivariate & Second-Order MA
Handle correlated outcomes, multi-level evidence structures, and higher-order evidence synthesis designs.
PRISMA Compliance
PRISMA 2020 compliant workflows with automated flow diagrams and checklists.
Team Collaboration
Role-based workspaces for screening, adjudication, and synthesis with full audit trails.
Publication-Ready Reports
Export forest plots, funnel plots, and formatted reports ready for journal submission.
AI-Powered Evidence Synthesis, for Research.
From literature search to publication-ready reports — accelerated by AI