Can automate data pipelines natively and securely in your enterprise data platforms to continuously improve workflows while working seamlessly with your tools, bots, and teams.
Use case
How Genbots Enhance Data Engineering
Automate Data Pipeline Construction
Problem
Data teams that have the business and technical knowledge are a bottleneck that can't keep up with business demand for data products and reporting.
Solution
Genbots automate pipeline orchestration, ensuring seamless data flow, real-time adjustments, and minimal manual intervention.
Autonomously Catalog Data Assets with Semantics
Problem
Maintaining semantic definitions and access control roles in data catalogs is a resource-heavy manual task leaving them stale and unusable.
Solution
Automatically populate catalog entries using business knowledge, semantic data understanding, and certified entries ensuring they always match the underlying datasets.
Key features
Capabilities for Genesis Data Engineer Agents
Key features
Capabilities for Genesis Data Engineer Agents
Database Tools
Find semantically relevant data sets, run SQL queries, execute Python dataframe code.
Process Runner Tools
Automate and execute multi-step workflows with ease.
