UBIKON.ioAI
Voice AI Development — Speech Interfaces & Voice Agents
Typical engagement: $10k–$60k · 4–14 weeks
What this is
Ubikon builds products that listen and speak — voice agents, speech capture, live translation — and prices the work within its AI development band: $10k–$60k across 4–14 weeks, by pipeline complexity. The hard part of voice is not the model but the round trip: streaming STT, Claude and TTS inside one latency budget. That pipeline runs in production today in a real-time voice translation platform shipped for a US client — WebRTC, Speech AI and Claude in the loop — and voice capture with Speech AI ships live in GariGuru's job cards.
What you get
Concrete deliverables, not a vague promise.
- —A streaming voice pipeline — audio in, STT, Claude, TTS, audio out — with the latency budget per stage measured and documented
- —Barge-in handling designed in: the user can interrupt mid-response and the pipeline stops speaking and listens
- —An evaluation set of recorded audio from your real environment — accents, background noise included — scored for transcription and response quality before launch
- —Per-minute inference cost modelled before launch and monitored after it, since voice cost scales with every minute of usage
- —Full IP transfer and private repository handover, same as every engagement
How we build it
Stack and architecture for a typical build.
WebRTC for low-latency audio transport where the product needs live conversation, streaming speech-to-text and text-to-speech engines chosen per language and latency requirement, the Claude API for understanding and response, and FastAPI behind it — the pipeline shape proven in production in the live voice translation platform built for a US client. Voice capture with Speech AI also runs live in GariGuru's job cards.
Pricing
Where the number comes from.
The $10k–$60k range above is priced from real delivery data across 300+ completed projects — not a day rate multiplied by a guess. A full itemized breakdown by phase is available on a scoping call, or get a rough one now from the calculator below.
Open the cost calculator →The honest comparison
Voice interface vs chat — where each one actually wins
Voice is a different tool from chat, not a better one. Here is where each genuinely fits.
| Voice interface | Chat / typed interface | |
|---|---|---|
| Hands-busy, eyes-busy work | Wins outright — a mechanic mid-job can file a job card by speaking | Requires stopping work to type |
| Speed of unstructured capture | Faster — speaking beats typing for notes, descriptions, capture on the move | Slower, but output arrives already structured |
| Accessibility | Serves users who cannot type comfortably or read a dense UI | Assumes comfortable reading and typing |
| Noisy environments | Honestly weaker — accuracy degrades and must be tested on real audio first | Unaffected by background noise |
| Precise data entry (IDs, emails, amounts) | Error-prone without explicit confirmation loops | Exact by default |
| Best fit | Field capture, live conversation, translation, hands-busy workflows | Long structured input, precise data, quiet desk work |
Process
4–14 weeks, start to launch.
Latency budget first
The end-to-end round trip — STT, Claude, TTS — is budgeted per stage before any code is written, because a voice product lives or dies on it.
Fixed quote, 48 hours
Priced within the AI development band by pipeline complexity: streaming vs turn-based, barge-in, languages, telephony vs in-app.
Build against real audio
Transcription and response quality evaluated on recordings from your actual environment — a garage floor, not a studio mic.
Launch with cost monitoring
Per-minute inference cost tracked from day one, because voice cost scales with every minute of real usage.
Straight answers
What buyers ask about this service
How much does a voice AI product cost? +
Voice work is priced within the AI development band: $10,000–$60,000 across 4–14 weeks, by pipeline complexity. A turn-based voice feature — press, speak, hear a response — sits at the lower end; a full streaming pipeline with barge-in handling and multiple languages sits at the top. Running cost is separate from build cost: inference is billed per minute of audio, so we model it before launch and pass third-party costs through at real cost.
Can a voice agent feel real-time? +
Yes — if every stage streams. STT emits partial transcripts while the user is still speaking, Claude responds token by token, and TTS starts speaking before the full response exists, so the reply begins almost as soon as the user stops. A turn-based pipeline that transcribes, then thinks, then speaks in sequence will always feel laggy regardless of vendor. We budget the round trip per stage and measure it on your pipeline rather than promising a universal millisecond figure.
Which languages and accents does it support? +
Quality varies by language, accent and audio conditions, so we evaluate rather than promise. Major languages on clean audio transcribe well; heavy accents, code-switching and background noise degrade every engine on the market. Before launch we score transcription on recorded audio from your real users and environment, and say plainly if accuracy is not there for your use case.
Is voice actually the right interface for my product? +
Sometimes it is the wrong one, and we say so during scoping. Voice loses in noisy environments where recognition accuracy collapses, and for precise data entry or long structured input, where a form is faster and error-free. It wins when hands or eyes are busy, when speed of capture matters, or when users cannot comfortably type — GariGuru's voice job cards exist because a mechanic's hands are occupied.
One call. One fixed number.
Tell us about your voice ai development project.
30 minutes, no deck. A fixed quote follows within 48 hours.