Healthcare decisions are not linear.
They unfold across payors, providers, operators, regulators, clinicians, investors, and emerging care models.
Intent.Health was built to bring clarity to that complexity.
Built and exited an e-commerce venture at age 21.
Led a global data intelligence company delivering large-scale B2B data infrastructure for enterprise clients.
Founded an AI-native platform helping companies identify revenue opportunities through behavioral intelligence and intent signals.
Built to contextualize the full U.S. healthcare ecosystem and translate fragmented signals into decision intelligence.
After years of working with healthcare technology companies selling into the U.S. healthcare market, one pattern became clear:
Healthcare growth fails not because of products. It fails because the decision ecosystem is misunderstood.
A single healthcare decision can involve:
Most databases simplify this complexity. Intent.Health was built to contextualize the ecosystem instead.
Intent.Health connects fragmented healthcare signals into a unified intelligence layer.
Arun is an active member of HIMSS (Healthcare Information and Management Systems Society) and regularly engages with the global healthcare technology community on topics including:
Healthcare generates more operational and behavioral data than almost any other industry.
Yet decisions are still made using fragmented signals.
Intent.Health is building the intelligence layer that connects:
organizations, clinicians, decision-makers, financial structures, and behavioral signals into a single system of understanding.
Helping companies answer three questions: