Selectical is an AI tool designed for literature reviews, especially the TIAB (title/abstract) screening stage. It is not positioned as a general-purpose chat-style research assistant. Instead, it is built into the systematic review screening workflow, using active learning, intelligent stopping rules, and auditable decisions to reduce the burden of manual screening. The official website claims it can save 66% of screening time and emphasizes “transparent AI” to avoid black-box exclusions.
Its core mechanism is Active Learning: researchers first label a subset of titles/abstracts as “relevant” or “irrelevant,” and the AI learns from this to prioritize records that are more likely to be relevant. Selectical offers three usage modes: acting as a second reviewer to provide a safety net for manual screening; reviewing human selections to check for potentially missed relevant studies; or supporting a more comprehensive AI-assisted TIAB screening workflow. Another key feature is the Smart Stopping Rule, which indicates when screening can be safely stopped and provides exclusion reasons for auditability.
The scraped pages do not disclose pricing, free trials, subscription plans, or payment methods. They also do not specify concrete integrations with APIs, reference managers, databases, or review platforms. The website only states that it can adapt to existing review workflows, so teams with established toolchains will still need to confirm import/export formats and collaboration capabilities.
Its strengths are its focused use case and clearly designed workflow, making it especially suitable for the most time-consuming part of systematic reviews: title/abstract screening. Explainable exclusion reasons and auditability also align well with the transparency requirements of academic research. In terms of team background, the founders have experience in machine learning, data science, and health sciences literature review services. The limitations are that public information remains relatively limited: there are no details on the underlying model, independent performance evaluations, privacy and compliance policies, Chinese-language support, or pricing. Its real-world high-recall/high-precision performance still needs to be validated in actual projects.
Selectical is suitable for university researchers, systematic review teams, CROs, health sciences organizations, and knowledge synthesis institutions—especially users dealing with large-scale initial literature screening while needing traceable decisions. The website does not state its accessibility from mainland China, and both network availability and international payment support are unknown. If access, procurement, or local compliance is restricted, alternatives such as Rayyan, Covidence, DistillerSR, ASReview, and Elicit may be worth comparing.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on selectical.com official site.
selectical.com is an Netherlands AI Apps provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach selectical.com directly.