Founded in 2024 by people who delivered pharma commercial analytics, then built AI products at scale. San Francisco Bay Area, incubated at Berkeley SkyDeck.
15+ years in analytics: eight at ZS and two at IQVIA on sales force sizing, call planning and brand planning for US pharma, then analytics leadership at Thumbtack and MarketerHire.
UC Berkeley (MEng, Operations Research) · ISB (MBA)LinkedIn →
7+ years building NLP and AI products. At Asurion: data scientist, then product manager, then Senior Manager, Data Science.
UC Berkeley (MEng, IEOR) · BITS PilaniLinkedIn →
Runs Orcana's events and customer experiences. Produced 45+ partner events a year at Amazon, rated 97.5% by 3,000+ attendees, and led global events at Crisp that lifted pipeline 15%.
Nazareth College (BA, Communication and Marketing)LinkedIn →
Leads product and engineering from India. First employee and principal engineer at Houseware through its acquisition by LaunchDarkly, then a senior engineer on LaunchDarkly's product analytics.
IGNOU (MCA, Computer Science)LinkedIn →
Built and deployed the machine learning models that automate prior-authorization approvals at Cohere Health. Five published machine learning papers.
Northeastern University (MS, Data Science)LinkedIn →
Former marketing data analyst who turned campaign data into budget decisions. Co-author of three machine learning research papers.
Boston University (MS, Applied Data Analytics)LinkedIn →Our founders spent years inside pharma commercial analytics at the largest consulting and data firms, running the same sizing, targeting and campaign studies quarter after quarter. In 2024 we started turning that work into software that runs in minutes, on code you can check. Today four enterprise pharma companies run on Orcana, all in production.
Every industry will run on agents, and the companies that start first will compound fastest. We're building that for pharma: a twin of the commercial org, with a pod of custom agents for every team, running decision loops on a pharma model inside each company's own cloud.