
Enterprise-Ready
AI Data Agents
Platform-Agnostic AI Data Engineering
Frequently Asked Questions
What is Genesis?
Genesis is an agentic system that powers AI data workers to execute complete data workflows from start to finish—not AI assistants that just suggest code. Genesis agents research data sources, ingest data, map data from bronze source to gold targets , write code, create documentation, test data pipelines, commit git PRs, monitor pipelines and fix errors while learning from your environment.
How is Genesis different from AI coding assistants like Cursor?
- Cursor – Suggests and writes code snippets (which is the easy part)→ you review → you execute
- Genesis – Researches context → inspects and understands data → maps data from the source → generate and runs data pipeline code → documents → creates and runs data pipeline tests → monitors—all ambiently. Think of it as hiring a junior data engineer vs. installing autocomplete.
What's the difference between Genesis and my existing data tools?
Traditional Stack
- Fivetran for ingestion
- dbt for transformation
- Airflow for orchestration
- Monte Carlo for monitoring
Genesis Agents
- One autonomous agent platform that uses all of the tools in your existing stack
Genesis augments human data engineers, connects to and uses the traditional tools, and fits right into your existing data engineering / pipeline building / CI/CD process with agents that handle the entire workflow.
Do Genesis agents replace my data team?
No. Genesis agents handle repetitive, undifferentiated work (source to target mapping, pipeline maintenance, monitoring, catalog updates) so your team can focus on strategic work (architecture, ML models, business analysis). Think "augmentation" not "replacement."
What are my options for trying Genesis?
There are two deployment paths based on your needs:
Option 1: Enterprise Production (Snowflake Native App)
- Best for: Production use with sensitive data
- Setup: Install from Snowflake Marketplace (one click)
- Runs on: Inside YOUR Snowflake account
- Data access: Your Snowflake data (Genesis never sees it)
- Use case: Full-scale automation, production pipelines
- Security: Enterprise-grade, Snowflake RBAC, data never leaves your environment
Option 2: Container Deployment (Advanced)
- Best for: VPC, Custom on-premise deployments or other cloud platforms ( AWS, Azure)
- Setup: Docker-based installation, AWS Elastic Kubernetes Service cluster, Azure Kubernetes Service cluster
- Contact: support@genesiscomputing.ai to schedule a call with the solution engineer.
What tasks can Genesis Data Agents perform?
1. Data Engineering
- Build data pipelines from scratch
- Migrate legacy SAP/Oracle systems
- Automate data transformation code development
- Maintain and update data catalogs
- Generate data quality tests
2. Data Operations
- Monitor pipelines 24/7 (Dagster, dbt, Airflow)
- Diagnose and fix pipeline failures automatically
- Optimize warehouse performance
- Detect security anomalies (unusual access patterns, over-provisioned roles)
- Post results to Slack/Teams/Jira
3. Business Analysis
- Convert natural language questions into SQL
- Generate visualizations and dashboards
- Perform ad-hoc data analysis
- Create automated reports
What tools and platforms do Genesis agents work with?
Data Platforms:
- Snowflake (native)
- Databricks
- Amazon
- AWS
- Azure
Orchestration:
- dbt
- Dagster
- Airflow
Communication:
- Slack, Microsoft Teams, Email
- Google Sheets, Docs, Jira, Git, others
AI Models:
- Snowflake Cortex
- ChatGPT
- Amazon Bedrock
- Claude
- Grok
- Gemini
Do Genesis agents learn and improve over time?
Yes! Genesis agents:
- Build a knowledge base from your conversations
- Learn your team's patterns and preferences
- Optimize their own workflows based on feedback
- Remember context from past tasks
- Continuously expand their capabilities
Can multiple agents work together?
Absolutely. Genesis uses multi-agent orchestration:
- Specialized agents for different roles (Engineering, QA, Analysis)
- Agents break down complex tasks and delegate to specialists
- Eve (the "mother agent") creates and manages other custom agents
- Agents communicate and coordinate on complex projects
- Agents can work concurrently on tasks
Where does my data actually go?
With Snowflake Native App:
- Genesis agents run inside your Snowflake account using Snowpark Container Services
- Your data NEVER leaves your Snowflake environment
- Genesis Computing Inc. CANNOT see your data, conversations, or agent metadata
- Only you control data access to the application through Snowflake's permissions
What information CAN Genesis Computing see?
Only in Snowflake Native App:
- Your Snowflake account name
- Email address of the person who installed the app
- Optional: Application event logs if you explicitly enable log sharing
Genesis CANNOT see:
- Your data
- Your agent conversations
- Agent configurations or additional application data
- Any business logic or queries
What if I can't use external LLMs like OpenAI?
No problem! When installed as a Snowflake Native App, Genesis uses Snowflake Cortex models by default—no data ever leaves your Snowflake environment. Coming soon: Amazon Bedrock support.
Can I test Genesis without connecting real data?
Absolutely! Genesis includes:
- Pre-loaded Baseball and Formula 1 demo datasets
- Access to Snowflake Marketplace public datasets
- Upload your own non-sensitive test data
Absolutely! Genesis includes:
Is Genesis SOC 2 compliant? What about HIPAA/GDPR?
Genesis leverages your existing Snowflake compliance posture. If your Snowflake environment is SOC 2/HIPAA/GDPR compliant, Genesis inherits those controls by running natively inside your account.
Unlocking AI Power in the Data Lifecycle
Trusted for Complex AI Data Use Cases





















.png)
.png)
.png)




.png)

