The proactive AI data analyst
Teams struggle to proactively detect data issues and quickly answer analytical questions across scattered systems like docs, Slack, databases, and codebases.
Datost is a proactive AI data analyst that monitors connected sources to surface issues, flag anomalies, and enable querying and debugging where teams work.
Data teams and developers at organizations that rely on multiple internal data sources and collaboration tools.
Datost CEO & co-founder. Worked at Traba (backed by Founders Fund, Khosla, and GC) as a mid level software engineer. While I was there I built Datost after my 996 from 10pm-3am eventually getting 80% of the company using it.
Datost(P26), co-founder. We're building the AI data analyst that lives in Slack. Previous software engineer @ Traba managing payment infrastructure with $200M+ annual volume University of Toronto Computer Engineering grad with minors in business and AI. While in school: completed 2 years of full-time engineering internships and ran a part-time real estate business, closing $10M in volume.

