Outlook Business Desk
Priyanka Kulkarni, a machine learning expert, has introduced Casium, an AI-driven start-up designed to make employment-based immigration faster and more efficient, reducing reliance on slow manual and spreadsheet-driven methods.
Casium’s platform enables employers to manage visa cases end-to-end without Excel sheets or law firms, creating a faster, transparent, and more reliable way to handle immigration filings.
Priyanka Kulkarni spent nine years navigating the visa process and set out to build a clear, efficient system that reduces delays and confusion in employment-based immigration.
Priyanka Kulkarni designed Casium to navigate the uncertainties of employment-based immigration, adapting quickly to unexpected policy changes, such as high H-1B fees, while ensuring smoother visa processing for employers and candidates.
Kulkarni stated that Casium’s technology cuts document preparation from three–six months with traditional law firms to under ten business days, while automatically detecting errors, making applications faster and more accurate.
Casium provides free initial assessments and flat filing fees depending on visa type, with a subscription-based model under development to expand its services.
Mumbai-born Priyanka Kulkarni holds a computer engineering degree and a master’s in applied mathematics. She worked nearly a decade at Microsoft as a machine learning scientist.
Kulkarni joined Microsoft on an H-1B visa immediately after college, spending almost ten years as a machine learning scientist. She helped develop AI strategies for products like Office while navigating a restrictive, lottery-based visa system.
After joining Seattle’s AI2 Incubator in 2024, Kulkarni applied for the EB-1 “Einstein visa” and chose to build immigration technology, saying all her past experiences and expertise led her to this moment.