SuperVisa is a Canadian startup looking to simplify the visa application and immigration process. Founded by Sean Fu, a Canadian immigrant himself, the company wades into a massive opportunity touching the legal, linguistic, and logistical complexities involved in migration.
This is a climate-adaptation startup because climate change will push more and more people to move long distances. The world needs better technology to facilitate professional and mass migration.
The market for SuperVisa’s service is already here. 3.5 per cent of the world’s population are migrants today – that’s more than the combined populations of the UK, France, and Germany – and this number has been growing every year. In the year 2000, migrants made up just 2.8 per cent of the population.
Canada and countries like it – cooler climates, democratic, with high standards of living – will see long-term growth in immigration applicants. In 2019 alone, Canada welcomed 341,180 new immigrants, a 26% increase from 2015.cialis
Solving an important and painful problem
And yet the process of applying for immigration is largely broken. Every country has different fees, processes, and standards. Even Canada, which has one of the world’s best immigration websites, only services 8 of the over 70 types of visas available in that country online.
SuperVisa’s vision is to serve many countries in many languages, but their first destination country is Canada, with most applicants coming from China. I believe Fu’s initial China/Canada focus, with special emphasis on students, will get them fast traction and will help them differentiate from competitors, most of whom are in the US and focus on inbound US immigration.
At the time of writing, SuperVisa’s revenue is growing 30% month-on-month.
Migrating is one of the most important decisions a person can make. It’s also expensive. From student visas to work visas to marriage and citizenship, a person can spend thousands of dollars navigating the process. Any company that can improve this process is going to be valuable.
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