Aidena

— AI STACK RECOMMENDATION

AI Voice Assistant for Mobile Apps

Complete voice AI stack with speech-to-text, NLU, and text-to-speech for mobile apps. Scalable, low-latency, and startup-friendly with managed services.

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AI Voice Assistant for Mobile Apps

Complete voice AI stack with speech-to-text, NLU, and text-to-speech for mobile apps. Scalable, low-latency, and startup-friendly with managed services.

high confidence

Core Stack ℹ︎

Deepgram

Primary

Real-time and batch speech-to-text with state-of-the-art ASR, speaker diarization, and low latency. Scales automatically for mobile apps with generous free tier.

$0-50/month

Claude Sonnet 4

Primary

Fast, capable LLM for NLU and intent understanding. Low hallucination rate ideal for voice commands. Cost-effective for high-volume mobile requests.

$20-100/month

ElevenLabs

Primary

Ultra-low latency text-to-speech (75ms Flash model) perfect for conversational voice agents. 70+ languages, voice cloning, and expressive control for natural interactions.

$0-50/month

Complete the Stack ℹ︎

Cloudflare Workers

Alternative

Edge serverless platform for orchestrating voice requests globally with zero cold starts. Reduces latency for mobile users worldwide.

$0-20/month

AgentOps

Alternative

Monitor voice agent performance, track LLM calls, and debug issues in production. Session replay helps identify voice interaction failures.

$0-100/month

Getting started

  1. 1Set up Deepgram account and integrate speech-to-text SDK into mobile app (iOS/Android).
  2. 2Create Claude Sonnet prompts for intent classification and entity extraction from transcribed text.
  3. 3Deploy voice orchestration logic on Cloudflare Workers to handle speech→text→NLU→speech pipeline.
  4. 4Integrate ElevenLabs text-to-speech API for natural voice responses.
  5. 5Connect AgentOps for monitoring voice interactions and LLM performance.
  6. 6Test end-to-end latency and optimize prompt engineering for fast responses.
  7. 7Set up auto-scaling and rate limiting for mobile traffic spikes.
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