Datost automates KPI monitoring and root‑cause analysis by writing queries, attaching monitors, and generating AI‑driven investigations when thresholds are breached. Integrated with Slack, it can instantly produce board‑ready PDFs, Excel data extracts, or PowerPoint decks, delivering full reports and actionable insights without manual effort.
Funding
Funding not disclosed
Founders
Product
Problem
Business teams often rely on manual dashboards and fragmented reporting processes, causing delays in detecting metric anomalies, identifying root causes, and delivering timely insights to stakeholders.
Solution
Datost offers an AI-driven, Slack-native monitoring platform that lets users specify any KPI, automatically generates the required SQL query, and attaches a real-time monitor. When a metric breaches its threshold, the system autonomously investigates, produces a per-dimension root‑cause analysis, and posts the findings directly in the originating Slack thread. Users can instantly request board‑ready PDFs, Excel extracts, or PowerPoint decks, which the AI composes with executive summaries, charts, and citations. The platform also supports live dashboards that can be pinned to channels, providing continuous visibility of key metrics without switching tools. By integrating data warehouses, CRMs, and product analytics, Datost delivers sourced, inline answers to plain‑English questions, eliminating the need for separate BI dashboards.
Target Audience
Primary users are revenue operations, product, and analytics teams that need proactive metric monitoring and rapid, shareable reporting within collaborative environments such as Slack.
Features
- Automatic SQL generation and monitoring for any user‑defined KPI
- Real‑time, thread‑native root‑cause analysis triggered by threshold breaches
- Slack integration for instant alerts, Q&A, and file generation (PDF, Excel, PowerPoint)
- AI‑crafted reports with executive summaries, visualizations, and data citations
- Live, channel‑pinned dashboards displaying KPI tiles, time series, cohorts, funnels, and watchlists
- Multi‑source data connectivity (warehouses, CRMs, product analytics) with governed, sourced answers