Former Microsoft machine learning scientist Priya Kulkarni has stepped into the startup world with Casium, a groundbreaking artificial intelligence platform designed to simplify and accelerate the employment based US immigration process. Built to make a complicated system faster, clearer, and more accessible, Casium promises to redefine how global tech talent navigates the visa landscape.
The Vision Behind Casium
After spending nearly a decade navigating the visa maze herself, Kulkarni recognized how confusing and time consuming the immigration system can be. She wanted to build a solution that would merge artificial intelligence with legal precision to eliminate repetitive tasks and delays.
Casium provides an end to end platform that allows employers to manage visa applications without depending on spreadsheets or external law firms. It brings together compliance checks, documentation management, and filing automation in a single dashboard. The system can detect potential errors, generate ready to file applications, and help businesses stay compliant while reducing approval risks.
How Casium Works
Casium uses advanced algorithms to process visa documentation and predict outcomes. The platform can reduce the traditional processing time from three to six months to less than 10 business days. This leap in efficiency has already helped hundreds of candidates complete assessments and filings with impressive approval success rates.
Kulkarni designed the tool with flexibility in mind, preparing it to handle unpredictable policy changes like those seen during previous administrations. The platform adapts to new regulations quickly, keeping users informed and compliant without extra legal overhead.
Casium currently offers free initial visa assessments and charges a flat fee per filing based on visa category. A subscription model for employers is also being developed to make the service scalable for larger organizations.
About The Founder
Born and raised in India, Priya Kulkarni holds a degree in Computer Engineering from the University of Mumbai and a Master’s in Applied Mathematics from Johns Hopkins University. She began her career at Microsoft on an H1B visa, where she spent nearly a decade shaping artificial intelligence strategy for enterprise software, including Microsoft Office.
Her personal journey through the complex H1B system became the foundation for Casium. After securing her EB1 visa and joining the Ai2 Incubator cohort in Seattle, Kulkarni committed herself to building a company that could solve one of the biggest challenges for skilled immigrants — a lack of speed and clarity in the US immigration system.
The Road Ahead For Casium
Casium has already gained attention in the tech and legal circles for its high success rate and use of machine learning to simplify legal processes. The startup is now focused on scaling its technology for enterprises and expanding its capabilities to cover other immigration categories such as student and investor visas.
Kulkarni’s vision is to make immigration technology more transparent, humane, and data driven. She believes automation should not replace legal expertise but make it accessible and efficient for those who need it most.
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