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Connect all your data, structured, unstructured, cloud or on-prem without friction. Easily bring in your existing data knowledge from dbt, LookerML, or any BI system. LayerNext MetaLake builds a metadata-rich semantic model that powers AI, analytics, and decision-making across your business.
Data lakes and warehouses are messy, disconnected, and hard to use. LayerNext’s AI Agents automatically crawl all your data systems, extract metadata, detect deep relationships across silos, and build AI-consumable semantic models that LLMs can understand by saving hundreds of hours in manual data prep.
MetaLake integrates seamlessly with your existing governance frameworks, so there is no need to rebuild or redefine access policies from scratch. You can configure fine-grained access controls at both the table and row level, ensuring consistent security, compliance, and policy enforcement across all your AI, BI, and data workflows.
Everything you need to unify, model, and activate your enterprise data without complex pipelines or data movement. MetaLake connects to all your systems, understands your data automatically, and builds a semantic foundation ready for AI, BI, and decision-making.
Integrates with Snowflake, Databricks, BigQuery, Redshift, S3, on-prem SQL databases, and many more sources
Works seamlessly across both structured sources like SQL databases and unstructured sources such as PDFs
Crawl all connected sources, extract metadata, and index it for rapid access and modeling.
Identify relationships, flows, and lineage automatically to build a dynamic, semantic model.
Pulls context from BI tools like Looker and Power BI and business rules to enhance data understanding.
Validates data model accuracy with a built-in evaluation layer optimized for AI and LLM workflows.
Let us show you how MetaLake can unify your data and power intelligent decision-making across your organization.