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About Silvi.ai

Silvi is an end-to-end screening and data extraction tool supporting Systematic Literature Review and Meta-analysis. Silvi helps create systematic literature reviews and meta-analyses that follow Cochrane guidelines in a highly reduced time frame, giving a fast and easy overview. It supports the user through the full process, from literature search to data analyses. Silvi is directly connected with databases such as PubMed and ClinicalTrials.gov and is always updated with the latest published research. It also supports RIS files, making it possible to upload a search string from your favorite search engine (i.e., Ovid). Silvi has a tagging system that can be tailored to any project. Silvi is transparent, meaning it documents and stores the choices (and the reasons behind them) the user makes. Whether publishing the results from the project in a journal, sending them to an authority, or collaborating on the project with several colleagues, transparency is optimal to create robust evidence. Silvi is developed with the user experience in mind. The design is intuitive and easily available to new users. There is no need to become a super-user. However, if any questions should arise anyway, we have a series of super short, instructional videos to get back on track.

Founded
2018
Employees
1 to 10

Leadership

The top of Silvi.ai's org chart, with how many people report into each leader.

THPhoto of Tove Holm-Larsen

Tove Holm-Larsen

Chief Executive Officer

4 reports

RHPhoto of Rasmus Hvingelby

Rasmus Hvingelby

CTO & Co-founder

2 reports

MFPhoto of Mads Frederik Frederiksen

Mads Frederik Frederiksen

CCO | Scaling Evidence-Based AI | Scientific Decision Support

Jobs at Silvi.ai

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