From gold data to governed AI agents that answer business questions in hours

Most enterprises still face a massive data backlog.

The integration of Genesis's Cortex Agent APIs with Snowflake Intelligence (SI) dramatically accelerates the path to conversational analytics. Genesis first delivers verified, governance-ready gold data inside Snowflake. Snowflake Intelligence's Semantic Views then leverage this gold data, automatically adding rich, business-contextual metadata.

The Cortex Agent APIs act as the essential bridge, allowing Genesis-created agents to interpret natural language queries (conversational analytics) by intelligently reading both the gold data and the semantic metadata. This means a user's question is not just matched to a column name, but to its true business meaning and relationships, unlocking a wider, more contextual range of analytical possibilities directly within the Snowflake ecosystem. This partnership enables automated data discovery, mapping, and transformation to converge seamlessly with next-generation conversational AI.

‍

Genesis as Data Pipeline and

Cortex Agent Builder

‍

From Raw Data to Intelligent Agents — Fully Automated

Genesis data engineering agents already build the pipelines that take raw bronze data to gold business-ready data. Now, through the Snowflake Cortex Agent REST API, Genesis extends that automation into the creation and supervision of intelligent Cortex agents.

‍

How It Works

Data Foundation: Genesis automates data discovery, mapping, validation, and transformation to deliver verified gold data.

Agent Creation: Once gold data is available, Genesis uses the Cortex Agent REST API to automatically create, test, and maintain analysis agents — customizing prompts, generating semantic models, seeding search indices, and assigning appropriate tools.

Continuous Testing and Monitoring: Genesis agents test, debug, and QA Cortex agents automatically, ensuring reliability and compliance within Snowflake.

Iterative Improvement:

• When agents succeed, Genesis learns and reinforces what works.
• When agents fail, Genesis updates the semantic model or extends pipelines from bronze to gold.

The result: Genesis becomes the Cortex Agent Builder and Supervisor — automating what once required entire engineering and analytics teams. Pipelines and agents evolve together, forming a self-improving system.

‍

Why Genesis and Snowflake Are a Natural Pair

• Run Where Your Data Lives: Genesis operates as a Snowflake Native App via Snowpark Container Services. No replication, no external processing — your data, security, and governance stay intact.
• Pipeline-to-Agent Flow: Genesis automates the entire journey from raw data to live agents ready for business use.
• Self-Improving System: Every interaction refines the models, pipelines, and agents over time.

‍

The Joint Impact

• Speed: Insight cycles compress from months to hours.
• Trust: Every answer is grounded in verified gold data.
• Efficiency: Automation frees engineers for higher-value work.
• Scalability: Pipelines and agents continuously improve as usage grows.

‍

Getting Started: Your First Use Case in Under a Day
‍

Genesis and Snowflake make AI-driven, governed, and conversational analytics practical for every enterprise. When pipelines and agents evolve together, teams move from data backlog to trusted insight — with confidence and speed.