Industries · Telecommunications
Telecom AI meets more languages, accents and line conditions than almost any other sector.
Support lines and self-service systems have to handle every accent, dialect and code-switch in a market, often over poor connections and on constrained devices. Speech systems trained on clean, single-language audio degrade quickly in those conditions.
Where it breaks
Common failure modes.
- Accented and code-switched speech transcribed incorrectly
- Noise, compression and poor line quality treated as edge cases
- IVR and chat flows that assume one language per customer
- Intent detection tuned on phrasing customers do not use
What we do
How we work in telecommunications.
01
Speech data
Collection and transcription across accents, dialects and real line conditions.
02
Conversational data
Support interactions in the languages and registers customers use.
03
Speech evaluation
Word error rate and intent accuracy measured per language and dialect.
04
Red teaming
Finding the inputs that break the flow before customers do.
Other industries
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