Turn Business Questions
into Analysis and Reports
Genesis agents find the relevant data, generate and execute queries, analyze the results, and create reports and visualizations using your business context, tools, and permissions.
Analytics & Reporting
Business teams often depend on a small number of data experts to answer new questions or modify existing reports. The necessary data, definitions, and business context may be spread across systems, making even routine analysis slow and difficult to scale.
Genesis agents use enterprise context to identify the right data, generate and execute the required queries and analysis, and produce explanations, tables, visualizations, and reports. Teams can review the work while asking follow-up questions without starting over.
Move Beyond One-Off Answers.
Genesis completes the work required to move from a business question to a useful, reviewable analysis—not just a query or suggested chart.
Understand the Business Question
Genesis interprets the request using your business definitions, requirements, prior work, and organizational context.
Find the Right Data
Agents identify relevant datasets, schemas, relationships, and dependencies while working within existing permissions.
Complete the Analysis
Genesis generates and executes queries and code, examines the results, and investigates follow-up questions as the analysis develops.
Deliver the Output
Agents produce explanations, tables, visualizations, documentation, and repeatable reports that can be reviewed and shared.
Answer the Question.
Keep the Context.
Reuse the business definitions, data relationships, analytical logic, and reporting requirements captured during the work for future questions, recurring reports, and related analysis.
Frequently Asked
Questions
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.
Prover by Genesis is the independent evaluator that checks your AI-built migration against your business rules and gives coding agents the fixes needed to get it ready for your team’s approval. See how Prover works.
- 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.
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.
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."
No. Genesis works with the stack already in place. It can use existing warehouses, orchestration tools, repositories, catalogs, communication systems, and CI/CD processes as part of an end-to-end workflow.
Genesis supports customer-controlled deployments across environments including Snowflake, Databricks, AWS, Azure, and containers. The exact configuration and security model depend on the customer’s architecture and requirements.
Contact us to schedule a demo. Our experts can show you how Genesis works, discuss the right starting point for your environment, and help your team get set up to try it.
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.
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
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
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
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
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
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
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.
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:
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.