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Datost

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The proactive AI data analyst

Spring 2026Founded 20262 peopleSan Francisco, CA, USA
Generate ideas โ†’
AI insightcan contain mistakes
Data Analytics AutomationSaaSData teams, product managers, business analystsHigh competition
Moat
Multi-source connector ecosystem (Slack, databases, code); proprietary anomaly detection models.
Key risk
Incumbent BI tools (Tableau, Looker) adding AI; fragmentation across data sources hard to manage.
Why now
Data volume explosion; manual analysis becoming impossible; LLMs enabling proactive insights.
Competitors
Tableau, Looker, Amplitude, Mixpanel, Databricks

About

Datost watches your docs, Slack, databases, data lakes, and codebase, surfacing issues, answering questions, and flagging anomalies before anyone asks. Query, debug, and analyze right where your team works

Founders ยท 2

Maceo Cardinale Kwik
Maceo Cardinale KwikFounder

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.

Jason Wang
Jason WangFounder
UToronto๐ŸŽ“ University of Toronto๐ŸŽ“ University of Toronto Computer Engineering

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.

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