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eBizVisibility is a Waitsfield, VT-based company in the Software and Internet sector.
Data393 is a Englewood, CO-based company in the Software and Internet sector.
Medidata is the leading global provider of cloud-based solutions for clinical research, transforming clinical development through its advanced applications and intelligent data analytics. We are committed to advancing the competitive and scientific goals of our life sciences customers worldwide: more than 700 global pharmaceutical companies; innovative biotech, diagnostic and device firms; leading academic medical centers; and contract research organizations. Our industry-leading technology platform, the Medidata Clinical Cloud®, is the primary technology solution powering clinical trials for 17 of the world`s top-25 global pharmaceutical companies, bringing new levels of productivity and quality to the clinical testing of promising medical treatments, from study design and planning through execution, management and reporting. The company was founded in 1999 and is based in New York with additional offices in the United States, the United Kingdom, Japan, China, South Kore and Singapore.
Desktop Assistance Inc is a Houston, TX-based company in the Software and Internet sector.
Zefr`s products put brands in control of their content adjacency on scaled platforms including YouTube, Meta and TikTok, based on brand and industry standards like the Global Alliance of Responsible Media (GARM) framework. Rather than rely on broad semantic tools like keywords, Zefr leverages a patented Cognition AI technology combining human cognition and review with machine learning models to offer brands and agencies more accurate and transparent targeting and measurement solutions on scaled platforms. Zefr has also made investments in technology solutions for misinformation avoidance with their July acquisition of Adverifai, an Israeli-based AI company that integrates misinformation into Zefr`s Cognition AI tech stack through global fact-checking organizations, providing training data to inform scalable misinformation identification and measurement.