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From Humanities To AI: How Ali Hussain Built Fintech Tabs Into A $400M Startup

Our third in a series of articles about non-tech founders getting venture funding features Tabs founder Ali Hussain, who started the AI fintech after realizing pursuing a Ph.D. in humanities was a terrible idea and spent some time in the tech workforce where he learned a few things about building venture-backed companies.

From Humanities To AI: How Ali Hussain Built Fintech Tabs Into A $400M Startup

Ali Hussain, founder of Tabs, an AI startup that automates finance and accounting, has built a $400 million venture-backed company despite having a non-technical background. Hussain's childhood spent working at his family's convenience store in Minnesota instilled a strong work ethic. After high school, his father encouraged him to pursue education rather than returning to the store.

Hussain earned a humanities degree from Cornell and later won a Marshall Scholarship to Oxford, where he quickly realized academia was not for him. Disillusioned, he joined The Boston Consulting Group for six years, where he learned business operations and corporate processes. Recognizing a lack of agency in corporate hierarchy, Hussain transitioned into tech, taking a pay cut to join the 10-person seed-stage startup Latch as its first operations hire.

At Latch, Hussain learned to pursue large markets, surround himself with complementary team members, and build for technological shifts. In 2023, Hussain applied these lessons to launch Tabs, an AI platform that automates revenue recognition, billing, and collections. Leveraging his commercial vision and operational expertise, he partnered with a technical co-founder to balance his strengths.

Investors took notice, as Tabs quickly raised $92 million in total capital and reached a $400 million valuation, employing around 180 people. Hussain believes non-traditional backgrounds in tech can be a strategic advantage, fostering the resilience needed to survive early-stage uncertainty.

Written by urgent.news from Crunchbase News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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