Genesis Data Agents

Genesis is an enterprise AI data acceleration platform that runs natively inside Snowflake Snowpark Container Services (SPCS). Built for Data Engineering, Data Operations, and Business Intelligence, Genesis deploys autonomous AI agents that build data pipelines, migrate legacy systems, create interactive dashboards, and automate repeatable workflows. Your data never leaves Snowflake's security perimeter.

Out of the box, Genesis includes Eve, the lead data agent. Eve connects to your data sources, analyzes schemas and metadata, creates specialized sub-agents for specific workstreams, and orchestrates complex multi-phase projects from start to finish. She comes equipped with over 60 built-in tools, more than 20 enterprise connectors, and a library of Blueprint methodologies that encode proven data engineering patterns into structured, repeatable workflows.

Genesis Agents plan their work, execute against real databases, validate output, and iterate until deliverables meet defined quality criteria.

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## How Genesis Works

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**1. Connect and Discover**

Connect Genesis to your Snowflake databases, code repositories, and collaboration tools. Genesis supports Snowflake (native), PostgreSQL, MySQL, SQL Server, Oracle, BigQuery, Redshift, ClickHouse, SQLite, GitHub, GitLab, Bitbucket, dbt Cloud, Airflow, Jenkins, Slack, Teams, Jira, and more.

Once connected, the Digital Twin automatically indexes your data assets into a context graph. This covers databases, schemas, tables, views, columns, stored procedures, stages, file formats, tasks, streams, and pipes. It maps relationships and builds upstream/downstream lineage so agents understand not just what data exists, but how it flows through your organization.

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**2. Assign Missions with Blueprints**

Assign work through Missions: structured projects with phases, quality checkpoints, exit criteria, and human review gates. Missions are powered by Blueprints, reusable workflow templates for common data engineering patterns.

Built-in Blueprints include:

- **Source-to-Target Mapping** <br/>Maps fields from source databases to target schemas with 100% field coverage, confidence scoring, and a complete implementation guide. Designed for data warehouse population, ETL development, and migration projects.
- **dbt Engineering**<br/>Builds production-ready dbt pipelines from field mapping specifications using Bronze/Silver/Gold medallion architecture with data quality tests and documentation.
- **Synthetic Data Generation**<br/>Creates realistic test data for any database while maintaining referential integrity and business relationships. Supports both new schema design and existing schema population.
- **Git Lineage Scan** <br/>Extracts data lineage relationships from SQL files, dbt models, and Python scripts in your repositories and feeds results into the Digital Twin's context graph.

You can also create custom Blueprints from successful conversation threads, turning one-time work into reusable templates that anyone on your team can run.

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**3. Agents Deliver Production Artifacts**

Agents draw on 60+ built-in tools to do real work against your systems. They execute SQL queries, write and test code, manage Git repositories, call REST APIs with full authentication support, build knowledge bases from documents, generate interactive Plotly visualizations, deploy applications, and produce narrated presentation decks. As well as Integrate and manage external coding agents (Snowflake Cortex Code, Claude Code, OpenAI Codex) write, test, and debug code autonomously.

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**4. Multi-Agent Orchestration**

For complex initiatives, Eve creates and coordinates specialized sub-agents. Each sub-agent gets its own set of tools, scoped database access, and defined responsibilities. One agent can reverse-engineer legacy ETL logic while another builds the target schema in Snowflake and a third validates data parity between old and new systems. Each agent works autonomously within its scope while the orchestrator tracks dependencies and ensures workstreams converge. Agents communicate progress through Slack, Teams, and email, keeping stakeholders informed through the tools they already use.

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**5. Ship to Production**

Promote validated solutions into production automation:

- **Genesis Flows**<br/>Lightweight, deterministic data pipelines built with SQL and Python steps. Run on a schedule or on demand with zero LLM token cost. Designed for repeatable extraction, transformation, and loading workloads.
- **Genesis Apps**<br/>Interactive dashboards and web applications built on Dash, Plotly, and AG Grid. Includes a versioned publishing workflow with working drafts, immutable saved versions, production promotion, and rollback. Access controlled through four permission tiers: View, Refresh, Edit, and Manage.
- **Scheduled Missions**<br/>Run agent-driven workflows on a recurring basis with automated delivery and alerting when results need attention.<br/>

## Platform Capabilities

**Digital Twin and Context Graph**<br/>Semantic knowledge graph indexing all connected data assets with full upstream/downstream lineage tracing, impact analysis, data discovery, and intelligent search. Agents use the Context Graph continuously to make informed decisions about schema design and dependencies.

**AgentSkills**<br/>Modular skill packages giving agents specialized domain expertise. Each skill bundles instructions, reference materials, templates, and tool configurations. Install from a shared library, customize for your organization, and distribute across your agent team.

**Multi-Model LLM Flexibility**<br/>Three-tier model selection (Premier, Normal, Fast) across Anthropic, OpenAI, Amazon Bedrock, Azure OpenAI, and Snowflake Cortex. Switch tiers per conversation, per agent, or per Blueprint phase. You are not locked into a single provider.

**20+ Enterprise Connectors**<br/>Snowflake, PostgreSQL, MySQL, SQL Server, Oracle, BigQuery, GitHub, GitLab, Bitbucket, Slack, Teams, Jira, Confluence, Google Drive, OneDrive, SharePoint, S3, dbt Cloud, Airflow, Jenkins, OpenMetadata, and REST API access with OAuth, API Key, Bearer, and custom authentication.

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## What Makes Genesis Different

- **Snowflake-native security**<br/>Runs inside SPCS. Data stays within Snowflake's trust boundary. External access controlled through Snowflake External Access Integrations, giving your security team full visibility.
- **Agents that deliver, not just advise**<br/>Produces SQL, dbt projects, dashboards, and committed code. Output is real, testable, and deployable.
- **Blueprint-driven methodology**<br/>Structured, phased approaches with quality gates make outcomes repeatable and auditable, not dependent on prompt quality.
- **Full lifecycle coverage**<br/>Discovery through production automation in a single platform. Connect, discover, map, build, validate, deploy, and monitor.
- **Multi-agent orchestration**<br/>Complex projects decomposed into parallel workstreams handled by specialized agents with scoped access and defined responsibilities.
- **Token-efficient architecture**<br/>Tools and context loaded on demand. Three-tier model selection and deterministic Flows for production workloads minimize LLM costs while maximizing output quality.

原始信息汇总

Genesis Data Agents 数据集概述

概述

Genesis Data Agents 是一个多代理系统，专注于数据工程、数据操作和业务分析。该系统通过自动化数据管理和分析任务，显著提高工作效率、准确性和操作速度。主要功能包括：

• 自动化数据工作流程
• 内置集成工具
• 任务分解与委派
• 与人类协作

业务需求

AI 代理自动化

• 利用预构建和可定制的 AI 数据代理
• 在 Snowpark Container Services 中本地运行
• 与现有工作流和工具无缝集成

机器学习

• 连接先进的生成式 AI 模型与 Snowflake 数据
• 具备持续学习能力
• 可定制以适应特定工作职能和需求

定量分析

• 分析复杂数据集
• 运行 Python 代码
• 生成可操作的见解

受众激活

• 创建营销活动管理器
• 利用受众细分数据激活活动

数据工程

• 使用数据工程代理构建数据管道
• 单个协调器代理可指导任务代理完成管道开发

安全

• 符合 Native Apps Framework 安全要求
• 基于角色的访问控制
• 推荐授予以下权限：
  • 账户级别权限
  • 对象权限
  • 连接
  • 应用事件

定价

• 需联系 Genesis 销售团队购买

类别

• AI & ML
• 受众激活
• Cortex AI Ready
• 数据工程
• 机器学习
• 定量分析

联系方式

• 销售：[e-mail]
• 支持：[e-mail]

数据刷新

• 静态数据

云区域可用性

AWS

• 亚太地区（孟买）
• 亚太地区（大阪）
• 亚太地区（首尔）
• 亚太地区（新加坡）
• 25 个更多区域

法律条款

• 标准

关于 Genesis Computing

Genesis Computing 提供 AI 数据代理，可在数据工程、数据操作和数据分析中自主工作。这些代理在 Snowflake 原生应用程序和 Snowpark Container Services 中安全运行，并利用 Snowflake Cortex 的 AI 引擎。