THE HARD PART“Making AI transcription trustworthy. The async ASR and LLM pipeline feeds a word-level editor with audio sync, versioned drafts, and optimistic locking, so reviewers spend their time correcting the model instead of fighting the tool.”
Cadence Translate turns expert calls and multilingual audio into transcripts a hedge fund can actually rely on. An order comes in through the API, the audio runs through ASR and LLM post-processing for grammar and entity recognition, and a human editor and a QA reviewer check the result before anything ships. The model does the fast first pass. People make it trustworthy.
The core platform is a FastAPI monolith organized by domain: orders, freelancer assignment, webhook callbacks, and delivery each live in their own module, with PostgreSQL, Redis, and Dramatiq workers running the async pipeline stages. A Next.js 15 dashboard sits on top for the operations team.
MegaEditor is the piece I enjoyed most. It is a full-stack transcription editor (FastAPI + React 19) built for the human review stage: word-level editing with per-word timestamps, audio that follows the text as you click, speaker assignment, segment review, undo/redo, drafts that save themselves, version snapshots, and optimistic locking so two editors can't silently overwrite each other. Transcripts move through a RECEIVED, EDITING, REVIEWING, APPROVED, COMPLETED workflow with separate roles for editors, reviewers, and internal QA.