January 14, 2026. A quiet LinkedIn post out of Palo Alto that landed heavier than most splashy launches. Skyflow did not sell a feature. It challenged a reflex. In healthcare, sensitive data has been treated like a live wire best avoided. Skyflow said the real danger is pretending AI can work without touching reality.
Founded in May 2019, Skyflow has spent the last 6 years building for the moment healthcare finally hit the wall. Virtual AI nurses, early intervention systems, personalized care engines all exist. What stops them is not ambition. It is fear. PHI, compliance, breach headlines, and a $10.93M average cost when things go wrong tend to focus the mind.
This post made the point cleanly. Sensitive data does not need to be locked away forever. It needs discipline. Skyflow’s data privacy vault isolates PHI, governs access, and still lets AI systems work on what matters. Polymorphic encryption, zero trust architecture, and real time tokenization are not slogans here. They are the difference between AI demos and AI in production.
This philosophy tracks directly back to Co-founder and CEO Anshu Sharma’s years at Salesforce, where enterprises wanted to use data but had no sane way to protect it at scale. Alongside Co-founder and CTO Roshmik Saha, Skyflow was built as infrastructure, not a compliance bandage. Product leadership from Amruta Moktali sharpened it for healthcare realities where audits, regulators, and patient trust never sleep.
Credibility shows up in deployment, not pitch decks. GoodRx CTO Nitin Shingate has already validated this model in the wild, protecting data across a platform serving 30M plus consumers while reducing operational burden by roughly 67%. That matters more than any promise. It proves sensitive data can move without leaking.
Even the amplification tells a story. Hannah Simon, an Account Executive with a top tier enterprise track record from Okta, represents where this message actually lands. In conversations with healthcare buyers who are tired of being told no is the safest answer.
Skyflow now occupies a rare position. Like Stripe did for payments, it is turning a regulatory minefield into a programmable layer. Multi cloud by default. Integrated across AWS, Google Cloud, Databricks, and Snowflake. Built for agentic AI that cannot afford compliance theater.
