The cost of a false positive is really high potentially. It could result in IRS penalties, various kinds of repercussions. So there's a lot of checks and balances in the way to make sure that we're accurate. We think of tax software as something like NASA, right? It's not another level of other consumer software that you can make.
Daniel Marcous comes to fintech from an unconventional background. Before co-founding April he was the CTO for the Waze product at Google, the social traffic app originally called FreeMap Israel that was acquired by Google in 2013 for $1.3B. Daniel started his career as a data scientist in the Israeli Defense Force and actively gives back to the Israeli Data Science community through involvement with DataHack, DataLearn, and KaggleIL.
Listen and learn...
- What Daniel learned at Google and Waze about scaling AI
- Why an Israeli data scientist left Google to start a company automating tax filing for Americans
- Why doing taxes is like finding the best route on a map
- Why continuous tax planning is the future of personal finance
- How to manage consumer data responsibly... and still use it to train AI models
- Why the U.S. tax code is so complicated
- Why ChatGPT will never do your taxes
- When AI will replace CPAs
- Daniel's favorite cocktail
References in this episode...