[stephensonsco]

We do custom models (train the full DNN, not just tack on a new text language model) using transfer learning and it works for small numbers of examples too.

Glad to hear you asking about fuzzy search. That's something we do (it's actually what Deepgram started on!). It's not in the docs at the moment (tends to confuse people who are looking for transcription, we're working on how to present it in a better way). You can submit with queries and get back confidences and timestamps.

Many times the model doesn't need any training but it does increase accuracy if you do training and can get really good if it's focused (it's a lot like wake word detection -- we don't offer WWD as a real product yet either, just saying the challenges are similar). Best thing to do is search for phrases if you can, that really helps signal/noise.