Decode It provides a universal context layer that centralizes business definitions, column‑level lineage, and documentation across data warehouses and collaboration tools. It automatically generates and continuously syncs up‑to‑date metadata, reducing manual effort and ensuring both humans and AI have reliable context. Currently in beta for Snowflake, the platform also integrates with Notion, Slack, Jira, and Confluence for seamless collaboration.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often struggle with fragmented data documentation, manually maintaining business definitions and column-level lineage across multiple tools, which leads to outdated context and inefficient collaboration between technical and business teams.
Solution
Decode It offers a cloud-based universal context layer that automatically generates plain‑English business definitions for tables and columns and continuously syncs them with data warehouses such as Snowflake. By ingesting metadata, query history, and transformation artifacts from sources like dbt Cloud and Fivetran, the platform builds living column‑level lineage graphs. Integrated connectors pull related documentation and conversations from Notion, Slack, Jira, and Confluence, creating a single, searchable hub for both humans and AI. Access is controlled through granular permissions, and the service operates with read‑only warehouse connections, ensuring data security while providing up‑to‑date context without exposing raw data.
Target Audience
Primary users are data engineers, analysts, and business stakeholders in mid‑size to large enterprises who need a reliable, up‑to‑date data glossary and lineage view across their analytics stack.
Features
- Automated generation of plain‑English business definitions for tables and columns
- Continuous synchronization of definitions and lineage with Snowflake (beta) and future warehouses
- Column‑level lineage mapping using metadata, query history, and transformation artifacts
- Integration with external knowledge bases (Notion, Slack, Jira, Confluence) to enrich context
- Granular access controls for viewing, editing, and approving documentation
- Secure read‑only warehouse connections with encrypted credentials via AWS Secrets Manager
- AI‑driven definition drafting using large language models, with user review workflow