We’re excited to announce that we’ve raised a $2.7 million seed round led by FUEL Capital, with participation from Homebrew and Susa Ventures as well as various angel investors, including Solomon Hykes (Docker cofounder), Florian Leibert (Mesosphere cofounder) and Ben Porterfield (Looker cofounder)

Fuzzbuzz is a fuzzing-as-a-service platform that automates and manages all of the complexity involved with fuzzing at scale. Fuzzing is a type of automated software testing that intelligently generates and runs thousands of tests per second against your code, using the feedback and results it gathers to generate new test cases. The goal is to cover as much code as possible, finding bugs and edge cases that developers may have missed when writing tests.

Everest saw the benefits of fuzzing first-hand during his time on the Google ClusterFuzz team, which has found more than 15,000 bugs in Chrome. We immediately recognized the opportunity to bring fuzzing to smaller companies that don’t have the resources to build a robust fuzzing pipeline in-house. So we set out to build a platform that allows companies of any size to fuzz without having to dedicate full-time engineers to the effort.

Today, anyone can start fuzzing on Fuzzbuzz in less than 20 minutes. We hook directly into GitHub and your CI/CD pipeline, categorize and de-duplicate each bug found, and then notify you through tools like Slack and Jira. Using the Fuzzbuzz CLI, developers can then test and fix the bug locally before pushing their code back up to GitHub. Check out our 3-minute demo video in which we use Fuzzbuzz to find Heartbleed in about 10 seconds.

"We are so excited to be working with Fuzzbuzz," said Chris Howard, General Partner at FUEL Capital. "While still in its infancy, fuzzing has the potential to massively advance the vulnerability testing of code bases, helping developers scale the process, particularly as they shift toward continuous deployment. We are bullish on Fuzzbuzz because we’ve seen the immense opportunity that exists when technologies that large consumer companies develop in-house to help them scale certain processes are made accessible to smaller companies with limited resources. We've seen it firsthand with Cloudera commercializing Hadoop, Pagerduty evolving out of the team that carried old-school pagers to report incidents when they worked at Amazon, and Mesosphere developing Mesos as Twitter and Airbnb were scaling."

We’ll be using the majority of the funds raised to make our first key engineering hires, which will allow us to continue to scale the platform, iterate on fuzzing algorithms and build out support for Java, Ruby and Javascript fuzzing. Join us in making fuzzing an industry standard - shoot us an email at hiring@fuzzbuzz.io!

Give the platform a spin at https://fuzzbuzz.io/signup - it’s free! We love feedback, and we’d love to hear your thoughts - email us at support@fuzzbuzz.io or join our Slack - https://slack.fuzzbuzz.io

Andrei, Everest & Sabera