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Ship a real-time voice agent your users actually want to call

We build production-grade voice pipelines using Whisper, ElevenLabs, and low-latency response loops. Customer-facing from day one, not a demo you shelve.

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Sound familiar?

Your voice prototype sounds great in isolation but breaks under real latency
A 600ms delay feels fine in a demo. At 1.2 seconds it feels broken to a real user. Stitching STT, LLM, and TTS together without a latency budget turns every call into a frustrating pause.
Human call center coverage is expensive and does not scale
A 10-agent call center costs $400K to $600K per year fully loaded. As soon as volume spikes you either hire or let calls queue. Neither option works for a startup.
Off-the-shelf TTS tools produce robotic output that users hang up on
Generic TTS voices trained on audiobook data sound nothing like a real conversation. Users hear the robot immediately and trust drops before you say a word.
Transcription errors cascade into wrong answers
If Whisper mishears a product name or number, the LLM reasons on bad input and produces a confident wrong answer. Without a correction loop, every misfire damages trust.

What we actually do

We design and ship a full real-time voice pipeline: Whisper for STT, ElevenLabs or Deepgram for TTS, a latency-optimised orchestration layer, and a fallback escalation path to a human. Production-ready, customer-facing, monitored from launch.

What's included

Whisper STT pipeline with noise filtering and punctuation restoration
ElevenLabs or Deepgram TTS with a custom voice matched to your brand tone
Latency-optimised orchestration layer targeting sub-800ms end-to-end response
Fallback and escalation routing to human agent or async ticket on confidence threshold
Call transcript logging and error-rate monitoring dashboard
Load-tested deployment on your infrastructure with concurrency handling
Handoff documentation and 30-day post-launch bug cover

How it works

Design

We map your call flows, define the latency budget, and choose the STT/TTS stack that fits your use case and volume.

Pipeline

We wire STT, LLM, and TTS into a single low-latency loop with streaming output and mid-sentence interruption handling.

Tune

We run load tests, measure P95 latency, adjust chunk sizes, and tune the voice model until real-user quality is met.

Deploy

We ship to production, wire up monitoring, and document the escalation paths so your team can operate it without us.

Pack Assist
8-week delivery, RAG + hybrid AI
Read the case study
From $5,000/mo

Scoped per call volume and latency requirements. Most integrations deliver in 6 to 10 weeks.

Frequently asked

Ready to get started?

Let's build your voice agent integration system

Hire Us on Upwork