Mica AI automates manual work around dirty data and hard-to-handle exceptions in data pipelines, covering tasks that typically require human judgment.
What it does
Mica AI uses Data Operations agents to resolve non-standard cases, validate context, and enrich records using external or internal sources.
- Handles messy data and unusual errors that break standard ETL flows
- Checks context and clarifies missing details using additional sources
- Routes results back into your usual storage systems or to a manual review queue
How it fits into your stack
Mica AI connects to 350+ sources and tools and can work across different environments.
- Logs into websites to retrieve information
- Searches internal company documents
- Queries databases
- Reviews scanned images
- Can consult internal experts when needed
Use case
It’s designed for teams growing data volume without expanding operations headcount, adding an agent layer where tools like Fivetran, dbt, or Airflow struggle with edge cases.
