LinedatLinedat
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V3.0Data Governance AI-Native

Data your AI understands.
Governance your team needs.

AI documents, classifies and governs your data from minute one. No setup. No waiting. AI-Native, not AI-added.

Setup in minutes not weeks
Free plan no credit card
AI-native from day 1
Linedat

Compatible with your stack

PostgreSQLMySQLBigQuerySnowflakeMongoDBOpenSearchElasticsearchDatabricksOracleSQL Server
PostgreSQLMySQLBigQuerySnowflakeMongoDBOpenSearchElasticsearchDatabricksOracleSQL Server
PostgreSQLMySQLBigQuerySnowflakeMongoDBOpenSearchElasticsearchDatabricksOracleSQL Server
PostgreSQLMySQLBigQuerySnowflakeMongoDBOpenSearchElasticsearchDatabricksOracleSQL Server

How It Works

3 steps to governance that works

Step 1

Connect your data sources

PostgreSQL, MySQL, BigQuery, Snowflake, MongoDB and OpenSearch today. Databricks, AWS Glue, Oracle and IBM DB2 coming soon. End-to-end AES-256 encrypted credentials. Zero-knowledge architecture. not even we can see them.

Step 2

AI documents automatically

The system extracts metadata, detects PII, infers types, generates descriptions. Your team reviews, not writes from scratch.

Step 3

Your team uses and governs

Chat for natural language queries. Lineage for impact analysis. Quality for alerts. Governance for compliance. All integrated.

Governed data = AI that doesn't hallucinate

Automated ownership, policies and audit trail. When your data is governed, your AI agents make better decisions.

Linedat

A copilot that knows all your data

Your team asks in natural language and gets real-context answers: tables, relationships, suggested SQL.

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Design the schema your AI needs

Visual editor to model entities and relationships. Iterate on your data model and export as DDL.

Linedat

Automatic documentation with AI

Descriptions, types, PII and sensitivity automatically generated for every table and column. Your team reviews, not writes.

Linedat

Why AI-Native?

Not a chatbot bolted onto the product. AI is in the architecture.

Zero configuration

Connect your database and AI starts documenting. No prompts to write, no modules to enable, no waiting.

Nothing happens without your OK

Everything AI generates goes through human review. Your team approves before anything is published.

Full traceability

Every AI action is logged: what it generated, when, with what data. Complete audit trail.

Use Cases

Real problems Linedat solves

Data Teams

Anyone can find the data they need

PMs, analysts, and stakeholders search for tables and metrics in plain language. No interrupting engineering, no waiting for answers. New hires are productive from day one.

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Data Teams
"When I prepare metrics for the board, I know exactly which tables to use and where they come from. No need to bother engineering."
Reuse, Don't Duplicate

The data you need already exists. You just have to find it.

Before creating a new table or requesting a new pipeline, search the catalog. Visual lineage shows you what data already exists, where it comes from, and who uses it.

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Reuse, Don't Duplicate
"I needed a new metric for the campaign. Instead of creating another table, I found it already existed in a different schema. Saved me a week."
Compliance & GDPR

When the auditor asks, you'll have the answer

Linedat detects sensitive data automatically and tracks where it flows. Every change is logged. When the audit comes, the evidence is already ready.

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Compliance & GDPR
"We know where every customer data item is. When an audit arrives, everything is documented."

Who We Are

Meet the builders behind Linedat

José Antonio Rodríguez

José Antonio Rodríguez

Tech

Head of Big Data @Bosonit. Ex-Atos. +20 años de experiencia. Experto en arquitecturas de datos, Spark, Kafka y cloud computing.

Héctor Castillo Aguiar

Héctor Castillo Aguiar

Product

AI Product Manager. Ex-Bitpanda (unicornio), Ex-Accenture. +5 productos lanzados. +9 años liderando transformación digital corporativa y startup.