Meet your AI-powered data co-pilot to discover, document, govern, and analyze your data faster than ever before.
Unlike simple LLM wrappers, Secoda is built with RAG and metadata-trained embeddings to deliver secure, accurate, context-aware answers from your data stack at scale.
Get contextual search results from across all your data sources including tables, columns, dashboards, metrics, queries, etc, and generate queries from those answers. Secoda AI enforces RBAC to make it easy to share data appropriately.
Secoda AI parses and understands SQL, models, dbt YAML, lineage graphs and more so you can connect insights across your entire data landscape.
Automate data documentation, create onboarding guides, write dbt code, let business users answer their own questions, or just take the grunt work out of your day-to-day. The opportunities are endless for you to get back time to spend on high-priority work.
Reduce your volume of data requests. Secoda AI lets anyone, regardless of technical ability, answer any data question at the speed of thought — in any language, even in Slack.
"Secoda AI reduces the time my team spends on documentation by 90%"
Tidiane NDIR
Chief Data Officer
Secoda AI integrates the complete context of your data catalog with a chat-based interface to give data producers and consumers the ability to answer complex queries.
Customize AI personas and instructions for different roles and departments. From technical teams to business users, everyone gets contextual responses tailored to their needs.
Teams, collections, and documents make it easy to curate and manage access across your organization. Keep information organized and discoverable while maintaining clear ownership and governance over critical resources.
Accelerate troubleshooting with quick answers to infrastructure queries, reducing downtime and optimizing performance. Assess the impact of database changes, like dropping a column on a table.
Secoda upholds industry-leading security standards while being user-friendly, fast, and intuitive.
The data within the resource does not leave the workspace. The only data sent to OpenAI is the metadata in your workspace. Metadata is defined as properties and documentation describing your resources, including Owners, Tags, Descriptions, Definitions, Popularity, Resource Names, etc. Learn more about Secoda AI Security.
Yes. With the Secoda Chrome extension, you can find and edit Secoda metadata directly in the most popular BI and data warehouse tools such as Looker, Tableau, Snowflake, BigQuery, and more. Learn more about Secoda’s AI-powered Chrome Extension.
Absolutely not. All metadata is specific to your workspace and is not shared or accessible by anyone who isn't granted access to your workspace. You cannot ask the AI Assistant about metadata that is not in your workspace.
With a chat-based interface, think of it as your personal AI assistant for your data stack. It lets anyone at a company, regardless of technical ability, answer any data question at the speed of thought.
Secoda uses a proprietary embeddings model trained on metadata (tables, columns, lineage, docs) and Retrieval-augmented generation (RAG) to pull context from your data stack in real time.
Learn more about Secoda AI.
Secoda AI can tell you what things mean across your database, dashboards, metrics, queries etc; write queries to certain tables and explain queries;
tell you what are relationships between tables for natural language lineage analysis; write dbt / airflow / sql / LookML code with context about your data stack; and more. Explore AI trends
Data discovery and cataloging use cases for Secoda AI include:
Automatic documentation: AI generates descriptions for tables, columns, dashboards, etc., reducing the time analysts spend writing documentation.
Column and table classification: Automatically tags and classifies data based on content (e.g. PII detection), helping with compliance and governance.
Data lineage mapping: Secoda AI helps identify upstream/downstream dependencies across tools like dbt, Snowflake, Looker, etc.
Centralized data knowledge hub: AI surfaces the most relevant and trusted data assets in one place, integrated across tools.
Reduce dependency on Slack/Notion/tribal knowledge: Answer repetitive questions automatically, freeing up your data team and letting them spend time on higher-value work.
Data governance use cases for Secoda AI include:
Policy enforcement: Automatically detect undocumented assets or broken ownership chains, and prompt the right people to fix them.
Audit trails: Track changes to metadata, documentation, ownership, and access permissions for governance and compliance reviews.
PII scanning and tagging: Automatically tags and classifies data based on content (e.g. PII detection), helping with compliance and governance.
Some data analysis use cases for Secoda AI include:
Faster analysis with natural language : Ask plain-English questions like “What’s the churn rate for Q4?” and get guided to the right tables, queries, or dashboards.
Smart query assistance: Speeds up query building, especially when navigating complex schemas or joining unfamiliar tables.
Faster time to value: Analysts can respond to ad-hoc stakeholder questions faster, with fewer clarifying back-and-forths. If stakeholders have access, they can even self-serve on common data questions using AI.
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