AudioKIT
Voice AI that feels like a person. Transcription, diarization, cloning, and real-time conversational audio for calls and meetings.
AudioKIT is an end-to-end voice pipeline for teams building call centers, meeting tools, kiosks, and voice agents that need to sound human. It covers the full path — telephony in, transcript out, agent response back as speech — with the latency budgets, compliance hooks, and QA tooling that real production voice products demand.
Streaming audio terminates in LiveKit or Twilio and feeds into Whisper-family and Deepgram ASR with custom lexicons, domain adaptation, and punctuation restoration. pyannote handles speaker diarization; ElevenLabs-class TTS produces sub-second responses with barge-in and natural turn-taking. A policy layer handles PII redaction inline, and call analytics (intent, sentiment, QA scoring) run asynchronously against the transcript store.
On day 1 you get streaming ASR on your telephony or app audio, a stock voice agent that handles interruptions, and a transcript store with search.
By week 3 the system runs on a brand-specific voice clone, domain lexicons trained on your call recordings, QA scoring tuned to your rubric, and automated redaction validated against your compliance posture.
Build it from scratch, or start a week ahead
- Six to nine months building the orchestration, memory and recovery before a first real result.
- An evaluation harness you write from scratch — then argue about.
- A team learning your edge cases live, in production.
- A black-box vendor you can't inspect, tune or move off.
- A working AudioKIT on your data in week one — the hard parts already solved.
- Evals seeded on day one and graded against your real workflows.
- Senior owners with full traces and dashboards from the first deploy.
- You own the prompts, the weights, the traces and the outcomes.
Ships with the hard parts solved
Streaming ASR
Low-latency transcription with punctuation, numbers, and custom lexicons.
Speaker diarization
Who-said-what across long conversations and noisy rooms.
Real-time voice agent
Barge-in, interruption handling, and natural turn-taking.
Call analytics
Intents, sentiment, QA scoring, and redaction of PII.
Where teams deploy it
Fine-tuned on your data and shaped to the workflow it lands in — these are the deployments we see most.
Kick-off to production in three weeks
A fixed scope and a visible finish line — you see it working before it's load-bearing.
Week 1 — Integration
Connect telephony or app audio; stand up streaming pipelines.
Week 2 — Fine-tune
Lexicons, prompts, and voices tuned on your recordings and brand.
Week 3 — Ship
Live on production traffic with dashboards and redaction in place.
Voice is the hardest modality to get right — latency, interruption handling, and voice quality are all ship-blockers individually. AudioKIT ships with all three solved, so your team can focus on the conversation design instead of the signal chain.
“They understand our needs quickly and are a delight to work with.”
AudioKIT, live on your stack in a week
One call to scope it, a senior team on it from day one — and a fixed scope agreed before we start.