Gilead Sciences vs Delineate
Side-by-side comparison of AI visibility scores, market position, and capabilities
Antiviral biopharma with $28.6B FY2024 revenue; Biktarvy $14B HIV franchise; lenacapavir 99%+ HIV prevention efficacy in 2024 trials is landmark breakthrough; Trodelvy oncology expansion.
About
Gilead Sciences is a biopharmaceutical company specializing in antiviral medicines, oncology, and inflammatory diseases, founded in 1987 and headquartered in Foster City, California, trading on Nasdaq (GILD). The company reported approximately $28.6 billion in total revenues for FY2024 under CEO Daniel O'Day, driven by the world's leading HIV treatment franchise anchored by Biktarvy—the world's best-selling antiretroviral therapy with over $14 billion in annual global sales—along with Veklury (remdesivir) for COVID-19 treatment, and a growing oncology portfolio including Trodelvy (sacituzumab govitecan, an ADC for breast and bladder cancer), Yescarta, and Tecartus (CAR-T cell therapies). Gilead's 2024 HIV prevention breakthrough—lenacapavir, a twice-yearly injection preventing HIV infection with near-100% efficacy in large clinical trials—represents potentially the most important HIV prevention advance since the development of daily oral PrEP.
US AI clinical trial design and systematic review automation extracting data from papers and figures at 15x industry speed for two top-10 pharma partners;
About
Delineate is a United States-based AI clinical trial design and biomedical data extraction company — providing pharmaceutical companies, academic research teams, and contract research organizations (CROs) with AI-powered systematic review automation that accelerates the data extraction and evidence synthesis workflows critical for designing better, faster clinical trials in the $10 billion clinical trial design and data services market. Partnered with two top-10 global pharmaceutical companies, Delineate has performed some of the largest systematic-review studies ever conducted in drug development, delivering 15x more processed studies than industry standard timelines and reducing certain study completion times from months to weeks through AI models that extract and analyze data from biopharma research papers, patents, and regulatory documents at scale.
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