"America's visa system is a labyrinth that Priyanka Kulkarni, a 34-year-old machine learning scientist, knows all too well. After spending nine years on a visa, she's now using artificial intelligence to help people find the path to employment-based immigration. Her startup, Casium, sells employers a portal to run visa cases end-to-end, replacing the Excel spreadsheets and, in many instances, the outside law firms that they usually rely on."
"It's a product built for the quickly changing landscape of employment immigration. Immigration policy has swung in recent months, culminating in the Trump administration's surprise executive order requiring companies to pay a $100,000 fee for each new H-1B application. While some companies welcomed the change, the move also sent employers scrambling and sparked lawsuits from business groups and the US Chamber of Commerce. Casium's bet is that a tech-first approach can bring speed and transparency to a system that's often beset with delays and confusion."
Priyanka Kulkarni spent nine years on a visa and now applies artificial intelligence to map employment-based immigration pathways. Casium offers employers an end-to-end portal to run visa cases, replacing spreadsheets and many outside law firms. The product targets a rapidly changing employment-immigration landscape, including a recent executive order requiring companies to pay $100,000 per new H-1B application that triggered employer scrambling and lawsuits. Casium reports it has assisted hundreds of candidates through assessments, compliance reviews, and filings, citing an exceptionally high approval rate. Founders who hired Casium moved from intake to on-the-job start in under a month. The 2024 startup raised $5 million in seed funding led by Maverick Ventures.
Read at Business Insider
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