Your Coding Agents Can't Do This
Apr 29, 11am PT / 2pm ET · Free lunch
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Your Coding Agents Can't Do This
Apr 29, 11am PT / 2pm ET · Free lunch
Join Us
use cases
One Platform. Every Data Team.
Genesis agents work across the full data lifecycle — from pipeline builds to production monitoring to executive reporting.
Data Engineering
Data Operations
Analytics & BI
Data Governance
Platform Engineering
Finance & Risk
Automate the Full Pipeline Lifecycle
3 Months → 5 Hours
Pipeline Delivery
Legacy Migration
Inventory schemas, map fields, generate & test transform code
Data Cataloging
Auto-generate semantic descriptions & lineage
Pipeline Builds
Describe what you need, agent generates idempotent ETL and deploys it
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Analytics & BI
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Monitor, Triage, and Resolve — 24 / 7
60–70% ↓
Handwritten Code
Hedge Fund
Real-Time Monitoring
Monitoring across dbt, Airflow, Dagster, and warehouse query logs in real time
Breaks Tracing
Root cause analysis via data lineage to trace breaks back to source systems
Auto-Posting
Auto-post results to Slack, Jira, or Git for review
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Data Operations
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Question to Insight to Dashboard — Same Day
20 Days → 1 Day
Report Turnaround
No Query Writing
Natural language to validated SQL against your live data — no query writing required
Interactive & Sortable Data
Interactive Plotly charts and sortable data grids rendered inline, with confidence indicators
Live & Shareable Dashboards
Promote any analysis to a live, shareable, refreshable dashboard
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Data Governance
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Prove Your Lineage. Automate Your Catalog.
Instant & Cross-Platform
Lineage Queries
Sources & Consumers Tracing
Trace upstream sources and downstream consumers across databases and platforms
Semantic Descriptions Generation
AI-generated semantic descriptions for every table and column, kept in sync as schemas change
Regulation, Validation & Audit
Regulatory blueprints (BCBS 239) with quality gates, validation rules, and audit documentation
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Platform Engineering
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Automate the Boring Infrastructure Work
50+ native integrations
Across the data stack
Seamless Data Staging
Stage data across S3, Snowflake, and Databricks with format handling and auth traceability
Environments On Demand
Provision schemas, grants, environments on demand with guardrails
Scoped Deployment
Deploy scoped agents: pipeline monitor, quality checker, Slack
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Finance & Risk
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Trusted Numbers with Auditable Lineage
Completeness. Accuracy. Timeliness.
Automated Reconciliation
Reconciliation pipelines that pull, match, flag exceptions, and produce sign-off reports
Governed Risk Data Aggregation
BCBS 239 risk data aggregation via structured 4-phase blueprint with quality gates
Traceability & Validation
Every number traceable from report back to source — with attached validation certificates
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Data Engineering
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