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Alkera AI is an agentic data platform designed for data engineering, data science, and analytics teams. It helps organizations work with data across warehouses, databases, BI tools, and development workflows through AI-assisted automation, analysis, and infrastructure management.
Key capabilities include global data lineage for tracing dependencies from source systems to dashboards, self-healing data pipelines, automatic pipeline generation, and a living knowledge base for keeping table and column documentation current. Data scientists can use automatic insights to identify trends and distribution changes, run notebook cells on local or remote CPU, GPU, and high-memory compute, and work in Jupyter-compatible notebooks alongside AI agents.
For data analytics, Alkera AI supports natural-language data questions, metric definitions based on team and business context, self-service pipeline creation, and end-to-end analysis across existing BI tools. The platform integrates with technologies such as Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, MySQL, dbt, Airflow, Tableau, and Hex. It also includes SQL-aware permissions, approval controls for destructive actions, cost visibility, audit logs, deployment options for VPC or on-premises environments, and enterprise features such as SSO and SCIM.
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