AI transformation begins with data transformation
Managing data workflows is labor-intensive and error-prone, causing pipeline disruptions, data inaccuracies and delayed analytics. Emergence tackles the messy data problem by building agents that connect, monitor, and address data issues before they impact your business.
Problem Statement
Enterprise data is deeply fragmented
data used for analytics
70%+
95%
of managers citing the need to manage unstructured data as a problem for their business
What Emergence offers
Autonomous agents that produce, consume, and act on enterprise data continuously, at scale
Our agents proactively ingest, clean, and transform fragmented data sources into governed, business-ready assets.
Unifying data, AI assets, and workflows
Connect disparate data and AI assets under one semantic layer
Emergence agents connect to your data sources and continuously assess metadata and data quality across the enterprise stack — detecting drift, surfacing anomalies, and acting on issues before they impact your business.
24/7 data monitoring
Auto-generate scorecards, identify metadata and data quality issues
Our solution uses industry standards and your businesses’ policies to continually monitor and act on data drifts before they impact your business.
Execute data corrections
Resolve data issues before they impact your business
Emergence agents generate and execute system-generated SQL scripts to resolve identified issues. Review suggested fixes, validate changes, and apply them directly to your data, all with full auditability at every step.
