Definity says it is rethinking data pipeline reliability for agentic AI by embedding “in-execution” agents directly into Spark or DBT runs. Instead of alerting after jobs fail, the agents capture real-time execution context and can intervene mid-run—stopping downstream pipelines before stale or bad data spreads. The company also announced a $12 million Series A.
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