Navidence, a technology company focused on defining health data and supporting researchers in study design, today announced it has completed its Series Seed preferred funding round, co-led by Grand Ventures (Grand Rapids, Michigan) and Nina Capital (Barcelona, Spain).<\/p>\n
The life sciences industry is increasingly embracing ethically obtained health data, or real-world data (RWD), but determining which RWD is appropriate for specific research use cases, such as clinical trials, remains hampered by tedious, manual processes that burden research teams.<\/p>\n
Founded in 2022, Navidence offers AI-native technology and professional services that make it radically easier to design and deploy clinical research studies using RWD. The company\u2019s platform develops Computable Operational Definitions (CODefs)\u2014standardized, human and computer readable definitions of key study elements\u2014creating a bridge between clinical healthcare and research while providing the consistency, precision, efficiency, and trust demanded by regulatory agencies.<\/p>\n
\u201cThere\u2019s an enormous opportunity to make real-world data more usable and trustworthy,\u201d said Aaron Kamauu, CEO and co-founder of Navidence. \u201cWith this funding, we\u2019re advancing tools that directly reduce burdens on research teams, making the work\u2014from protocol creation to study execution\u2014more efficient and quickly aligning stakeholders throughout the process.\u201d<\/p>\n
RWD plays an increasingly significant role in how therapies are developed, evaluated, and used, but researchers often struggle with fragmented and inconsistent definitions\u2014the basic building blocks of data science. Navidence\u2019s approach combines technology, curated CODef libraries, and expert services so teams can more confidently design studies, agnostically and objectively selecting fit-for-purpose RWD.<\/p>\n
\u201cAs real-world data becomes increasingly central to drug development and regulatory decision-making, the industry needs more than access to data\u2014it needs clarity, consistency, and trust in how that data is defined and used,\u201d said James Hill, Partner at Grand Ventures. \u201cNavidence is building foundational infrastructure that helps life sciences teams translate complex, fragmented healthcare data into standardized, computable definitions that can be reused and trusted across studies. Their combination of software and thought-leading domain expertise is deeply embedded in customer workflows, and we believe it positions Navidence to become core infrastructure for RWD-driven research.\u201d<\/p>\n
\u201cAt Nina Capital, we back companies that solve fundamental bottlenecks in healthcare through meaningful innovation,\u201d said Sebastian Anastassiou, Partner and Head of Investments at Nina Capital. \u201cNavidence is providing the essential \u2018Rosetta Stone\u2019 for real-world data, transforming disparate health information into standardized, computable evidence. By bridging the gap between clinical care and rigorous research, they aren\u2019t just improving study design\u2014they\u2019re building the infrastructure necessary to make RWD-driven research a global standard.\u201dThe post Navidence Raises Funding to Bring Clarity to RWD-Driven Clinical Research first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
Navidence, a technology company focused on defining health data and supporting researchers in study design, today announced it has completed its Series Seed preferred funding round, co-led by Grand Ventures (Grand Rapids, Michigan) and Nina Capital (Barcelona, Spain). The life sciences industry is increasingly embracing ethically obtained health data, or…<\/p>\n
The post Navidence Raises Funding to Bring Clarity to RWD-Driven Clinical Research<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[4,1],"tags":[3],"class_list":["post-865","post","type-post","status-publish","format-standard","hentry","category-ai","category-ai-and-ml","tag-ai"],"yoast_head":"\n