How we dodged risks and raised millions for our open-source machine learning startup

Open-source software gave birth to a slew of useful software in recent years. Many of the great technologies that we use today were born out of open-source development: Android, Firefox, VLC media player, MongoDB, Linux, Docker and Python, just to name a few, with many of these also developing into very successful for-profit companies.

While there are some dedicated open-source investors such as the Apache Software Foundation incubator and OSS Capital, the majority of open-source companies will raise from traditional venture capital firms.

Our team has raised from traditional venture capital firms like Speedinvest, open-source-specific firms like OSS, and even from more hybrid firms like OpenOcean, which was created by the founders and senior leadership teams at MariaDB and MySQL. These companies understandably have a significant but not exclusive open-source focus.

Our area of innovation is an open-source AutoML server that reduces model training complexity and brings machine learning to the source of the data. Ultimately, we feel democratizing machine learning has the potential to truly transform the modern business world. As such, we successfully raised $5 million in seed funding to help bring our vision to the current marketplace.

Here, we aim to provide insights and advice for open-source startups that hope to follow a similar path for securing funding, and also detail some of the important risks your team needs to consider when crafting a business model to attract investment.

Strategies for acquiring open-source seed funding

Obviously, venture capitalists find many open-source software initiatives to be worthy investments. However, they need to understand any inherent risks involved when successfully commercializing an innovative idea. Finding low-risk investments that lead to lucrative business opportunities remains an important goal for these firms.

In our experience, we found these risks fall into three major categories: market risk, execution risk, and founders’ risk. Explaining all three to potential investors in a concise manner helps dispel their fears. In the end, low-risk, high-reward scenarios obviously attract tangible interest from sources of venture capital.

Ultimately, investment companies want startups to generate enough revenue to reach a valuation exceeding $1 billion. While that number is likely to increase over time, it remains a good starting point for initial funding discussions with investors. Annual revenue of $100 million serves as a good benchmark for achieving that valuation level.

Market risks in open-source initiatives

Market risks for open-source organizations tend to be different when compared to traditional businesses seeking funding. Notably, investors in these traditional startups are taking a larger leap of faith.

Source: https://techcrunch.com/2021/04/09/how-we-dodged-risks-and-raised-millions-for-our-open-source-machine-language-startup/

Time Stamp:

More from Republished By Plato