Meet the Team

We’re a group brewers and data nerds working together to provide craft beer with innovative tools for a maturing industry. 

Our Story

The Dog Days of Data

When I got hired as a lab tech at Left Hand in 2015, it was my dream job. Initially, one of my biggest challenges was what to do when a beer failed for any reason (VDK, IBU, sensory, etc). While the lab is usually data-driven, making process changes tends to be intuition-driven. I wanted to do deeper analysis to change that, but our production data was on paper logs and took days to get into a usable format. Even when I got it into a table, looking at more than a few variables simultaneously wasn't realistic. We invested hundreds of hours into Excel sheets (just ask Mark) to consolidate data, which was great for the organization but didn’t solve aggregation/analysis issues. They also had serious limitations and required constant maintenance.

The beginning of Grist

I looked for a solution to the data problem, and didn’t find any software that would help. We used Obeer at the time, which is built on an inventory/accounting platform, like most brewery software. Retrofitting a business tool for brewing doesn’t really work for in-the-weeds production data. I sketched these truly terrible wireframes back when I knew nothing about software, product design, or business. Somehow, a friend convinced a couple of engineers (also homebrewers) to take a chance on the project. Like most breweries, I jumped off the deep end because it was something I believed in.

Fast forward to Now

You can see what those two wireframes eventually turned into on the right. The first person I brought on was our engineer, Radu, who is always pushing us to think outside the box. Next came Mark, who reminds us to keep putting usability and front-end users first. Then came Nancy, who is always brainstorming how to be better tomorrow than we were yesterday. Grist is a business, but it’s also a passion project, and it never stops feeling cool to see breweries find value in what we’ve built. Don’t think we’re done innovating, because the foundation is laid for AI-based root cause analysis, better predictive scheduling, and modern recipe development.

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