Market Opportunity
Manual systematic review screening — AI-powered PDF screening and data extraction targets a $3.6B = 600K research teams × $6K ACV (universities, pharma R&D groups, NGOs and clinical review units) total addressable market with medium saturation and a year-over-year growth rate of 15% YoY — driven by growth in AI-assisted research tools and investment in research infrastructure (source: Grand View Research and scholarly publishing market reports, 2023-2024).
Key trends driving demand: Trend — LLMs and document-AI have improved extraction from PDFs, enabling automation of tasks previously done by hand.; Trend — Mandates for reproducibility and structured data in research increase demand for auditable, repeatable review workflows.; Trend — Growth in industry-sponsored systematic reviews (pharma, medtech) increases willingness to pay for time-saving tools.; Trend — Open access and preprint growth increases the volume of literature that needs scalable screening and triage..
Key competitors include Rayyan, Covidence, IRIS.AI, Zotero / Mendeley / Paperpile (reference managers).
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