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Case study · Voice AI / Developer Platform

60db.ai — Full-Stack AI Voice Platform (TTS + STT + Voice Cloning + Agents)

Engineer Master Labs built 60db.ai end-to-end — a unified AI voice platform with TTS (30 languages, 1000+ voices), STT (40+ languages), voice cloning from 3 minutes of audio, and AI voice agents — with 150ms latency, 99.9% uptime, and pay-as-you-go pricing. Positioned as the voice AI platform for India.

Client: 60db.aiDuration: 9 monthsTeam: 7 engineers
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Client
60db.ai
Industry
Voice AI / Developer Platform
Duration
9 months
Team size
7 engineers
01 / The Challenge
What 60db.ai was up against

60db.ai wanted to ship a single developer platform that unified everything voice-AI teams need — TTS, STT, voice cloning, and voice agents — with India-market pricing and India-language coverage that ElevenLabs-class competitors under-serve. The platform had to hit sub-200ms TTS latency, handle 1M+ API calls per day with 99.9% uptime, and feel as polished as proprietary providers. And it had to ship with a real developer portal, not a bolt-on dashboard.

02 / The Solution
What we built

We built the entire platform: custom multilingual TTS (30 languages, 1000+ voice presets) trained on an 8× H100 cluster; STT front-door using Whisper Large v3 Turbo as LID spanning 40+ languages; voice-cloning pipeline that clones any voice from 3 minutes of audio while preserving emotion and tone; a voice-agent framework with conversation flow, barge-in, and intent handling; the developer portal with playground, docs, SDKs, API key management; pay-as-you-go billing with $10 signup credit; plus the usage dashboard, observability stack, and autoscaling inference behind Triton + vLLM.

03 / Outcomes

What shipped

150ms
TTS latency
1000+
Voice presets
30 / 40+
TTS / STT languages
99.9%
Uptime across 1M+ daily API calls
Stack we used
Custom TTS (XTTS/VITS derived)Whisper Large v3 Turbo (STT + LID)Voice cloning pipelinePyTorchTriton inferencevLLMFastAPINode.jsPostgreSQLRedisStripe metering8× H100 training clusterAWS
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