Transluce

Transluce enables the ingestion of raw agent transcripts and the subsequent behavioral analysis of those logs. You can convert unstructured interaction data into Docent-ready runs and perform deep-dive evaluations using DQL to identify performance patterns and behavioral anomalies within your agent deployments.

Transluce is designed for machine learning engineers, evaluation specialists, and quality assurance researchers focused on agent performance. It is specifically intended for those managing Docent-based environments who require granular visibility into transcript data and behavioral metrics for iterative model improvement.

To utilize Transluce, you must have an existing Docent environment and access to raw agent transcript logs. The system requires familiarity with DQL for executing analysis queries and assumes your data is formatted for ingestion into the Docent-ready run structure.