AI assistants and search decision

voisa.ai

A capable developer can build a narrow hosted inbound-call assistant (STT, TTS, dialog, calendar integration) themselves, but reproducing VOISA's full product (voice catalogue, 8k integrations, EU-hosted GDPR assurances and enterprise polish) is impractical for a one-person DIY effort.

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You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off120 h to build

$250/mo6 h/mo upkeep

No published price to break even against.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All voisa.ai alternatives, with the arithmetic →

What a replacement has to do

  • Answer inbound calls with speech-to-text → run simple dialog/intent logic against a knowledge base → book calendar slots or forward to staff → synthesize speech and return audio over SIP/telephony → log transcripts and events and trigger webhooks.

What it still won’t have

  • Production-grade voice library (250+ studio voices) and native voice-cloning UX
  • Large catalogue of 8,000+ prebuilt integrations and the vendor's tested Zapier/Make connectors
  • EU-hosted, GDPR-tailored hosting, and vendor-provided AVV / enterprise SLAs
  • Polished dashboard, templates for 120+ industries, and customer success/priority support

What remains hard

  • Compliance and regulationDSGVO-konform · Server in Deutschland
  • Integration maintenance8.000+ vorgefertigte Integrationen
Read the build prompt

First-year cost

No published price

voisa.ai does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

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What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal AI phone-agent service using Node.js (Express) + Postgres hosted on a small VPS (Hetzner or AWS t3.small). Use Twilio Programmable Voice (SIP) for inbound calls, stream audio to the server, transcribe with OpenAI/Whisper API (or Google Speech-to-Text), run a simple rule-based/dialog manager (intent matching + slot filling) and implement actions: (1) check and book Google Calendar via OAuth, (2) call a webhook to forward structured orders, (3) escalate to human by initiating a call-forward. Synthesize responses with a cloud TTS (Google/ElevenLabs/Polly) and play back over Twilio. Provide a minimal web dashboard to view call transcripts, recordings, and set basic agent prompts/knowledge (upload CSV or short FAQ). Out of scope: multi-voice studio library, enterprise SLA, large-scale parallel call routing, advanced voice cloning. Include unit/integration tests for STT/TTS, calendar booking, and webhook delivery; add error handling, retries, logging, and basic role-based admin access.
How we checked4 sources · 3/3 runs agreed · evidence score 61

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score61

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page