# Critical Business Decision Making for Technology Startups -- A PerceptIn Case Study

arXiv: https://arxiv.org/abs/2009.03011 · HTML: https://mlsanity.com/paper/2009.03011/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Sep 2020.

## Built on by (most cited first, 2 of 2)

- [Dilemma of the Artificial Intelligence Regulatory Landscape](https://mlsanity.com/paper/2112.09325/) (2021)
- [Enabling Level-4 Autonomous Driving on a Single 1k Off-the-Shelf Card](https://mlsanity.com/paper/2110.06373/) (2021)

## Abstract (arXiv)

Most business decisions are made with analysis, but some are judgment calls not susceptible to analysis due to time or information constraints. In this article, we present a real-life case study of critical business decision making of PerceptIn, an autonomous driving technology startup. In early years of PerceptIn, PerceptIn had to make a decision on the design of computing systems for its autonomous vehicle products. By providing details on PerceptIn's decision process and the results of the decision, we hope to provide some insights that can be beneficial to entrepreneurs and engineering managers in technology startups.