back_office_ops · saas · workflow
Delphi leverages AssemblyAI to expand language support 16x and cut clone training time by 50%
Delphi's clone training pipeline needed to process diverse audio and video content in many languages, creating a bottleneck in accurately transcribing multilingual material to train AI clones at scale.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Diverse content ingestion
Content used to train digital clones comes in various formats, including audio and video.
Tools used
AssemblyAIAutomatic Language DetectionSpeaker Diarization
Outcome
After integrating AssemblyAI, Delphi expanded language support by 16x, reduced clone training time by 50%, and added a precise citation feature enabled by accurate speaker labeling and timestamps.
Results
Time saved50%
Volume16x
Grounding & classification
Source type: vendor customer story
20 fields verified against source quotes.
data extractionspeech to textvoice aicall recordingmeeting recordingmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedsoftwarethroughput increasetime savedvendor customer storyback office opsdocument to record