Explore the product journey across SYMPRO AI with curated feature releases, public version tags, and module-by-module milestones drawn from our product documentation.
Added direct editing and automatic saving for published FPS Mini-DET values in the screening layout.
Assigned analysts and reviewers can correct extracted values while screening, and those corrections flow directly into project exports.
Added configurable mini-data extraction during first-pass screening, turning study titles and abstracts into structured fields for reviewers and exports.
Screening teams can capture useful study characteristics earlier, reduce repeated manual reading, and carry structured FPS evidence into review and reporting.
Added stronger collaboration controls for active screening projects, including reassignment support, active-session awareness, and safer admin intervention.
Administrators can manage active screening teams with less risk of disrupting ongoing review work.
Added dedicated module history pages so teams can review operational activity across search, screening, extraction, ROB, and AQUA work.
Project activity becomes easier to audit, explain, and revisit across modules and handoff points.
Launched a standalone AccuScope module with guided search building, ranked article selection, structure generation, evidence tables, and AI-assisted writing.
Teams can move from a broad evidence-mapping question to a draft AccuScope in one connected workflow designed for discovery and synthesis.
Launched abbreviation processing with asynchronous document handling, paired result files, and streamlined access through the app and file manager.
Document cleanup and abbreviation workflows become faster and easier to manage across uploaded study files.
Introduced AI-assisted Risk of Bias analysis with multi-file projects, recommendation review, grouped processing, and downloadable result bundles.
Risk-of-bias reviews become more structured and scalable across multiple checklist types and larger document sets.
Launched AI-assisted report generation for systematic reviews with structure proposal, writing workflows, FTR-backed study selection, and DOCX export.
Writing moves closer to the evidence base, cutting down manual report assembly and formatting effort.
Introduced structured data extraction with upload-first project flow, AI-assisted template creation, real-time processing, and editable result outputs.
Extraction work becomes repeatable, reviewable, and easier to scale across large evidence sets.
Launched AI-assisted screening with project setup, bulk citation ingestion, FPS and FTR workflows, reviewer collaboration, and exportable decisions.
Screening teams can run first-pass and full-text review in one system instead of stitching together spreadsheets and handoffs.
Introduced AI-assisted literature search design with structured strategy building, PubMed retrieval, article enrichment, and export-ready outputs.
Teams can move from research question to structured search outputs much faster, with less manual query drafting.
Added operational monitoring for ongoing literature surveillance with linked search refreshes, screening sync, scheduling, and comparison history.
Living review teams can track new evidence over time without rebuilding the workflow for every refresh cycle.
Expanded the platform with centralized file management, proxy downloads, module-aware storage, and PDF matching for screening projects.
Shared files, matched PDFs, and safer downloads reduce friction across screening and downstream evidence work.
Connected the platform into a unified workflow system spanning search, screening, extraction, and report generation.
Teams can manage the entire review lifecycle in one coordinated workflow instead of jumping across disconnected tools.
If you want to see how these capabilities fit your evidence workflow, we can walk you through the modules that matter most to your team.