AI voice & speech products

What it is

Speech built into a product: transcription for records and search, voice interfaces for calls and hands-free use, and the latency work that makes either tolerable.

Why businesses need it

Voice is the fastest input method for a customer on a call or a worker with no free hands. It only ships when latency, interruption and accuracy are engineered, not demoed.

What MIWEBX delivers

• Transcription of calls, meetings and field recordings
• Summaries, tags and search built on top of transcripts
• Inbound and outbound voice agents for support and verification
• Voice-driven interfaces inside an existing app
• Language and accent handling for a specific user base

Core features

• Streaming transcription with defined latency targets
• Speaker separation and role labelling
• Barge-in, silence and failure handling on live calls
• Domain vocabulary tuned with a word list per client
• Redaction and retention rules for sensitive recordings
• Accuracy measured on real client audio, not public benchmarks

Technical capabilities

• Transcription and speech providers sit behind one interface, selectable per language, channel and cost
• Streaming audio over a socket with buffering, reconnect and sequence recovery
• Endpointing and turn detection tuned so interruption feels conversational rather than scripted
• Domain vocabulary and hotword lists applied at decode time, held per client
• Post-transcription normalisation of names, numbers, currency and formatting per locale
• Redaction pass over sensitive spans before storage, with retention enforced in the store
• Sampled sessions graded against transcripts of the client's own recordings, not public benchmarks

How we build it

• Find the moment where speaking beats typing, and what has to happen next
• Collect representative audio for the actual user base and its accents
• Establish a baseline on that audio before committing to an interface
• Build the streaming path with reconnect, fallback and failure states
• Layer summarisation, tagging or actions on top of the transcript
• Set consent, redaction and retention, then monitor quality on live sessions

Technology stack

• WebRTC
• Python
• Node.js
• Whisper-class ASR
• Speech APIs
• PostgreSQL
• Redis

What you receive

• The voice or transcription feature integrated in your product
• Vocabulary and formatting configuration for your domain
• Measured latency and accuracy report on your own audio
• Retention, consent and redaction settings documented
• Fallback paths for failed or interrupted sessions

Business benefits

• Calls become searchable data instead of a memory
• Hands-free work where typing is impossible
• Faster resolution without dropping the human touch
• Compliance handled at the feature level