Deadline / pressure
The product needed to move from technical ambition to a usable production voice experience without losing conversation quality.
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FLAGSHIP BUILD
Tomato.ai
Situation
Production AI product with live-call latency constraints and real technical risk.
Product built
A revolutionary AI-powered voice technology platform designed to soften accents in real-time while strictly preserving the speaker's original identity and emotion. This sophisticated SaaS solution directly improves customer satisfaction (CSAT) scores for global call centers by making offshore agents more intelligible to native speakers without the robotic artifacts of traditional voice changers. The system operates with critical sub-100ms latency to enable natural, uninterrupted conversation, utilizing a custom-optimized streaming audio pipeline and high-performance Python backend handles complex audio signal manipulation on the fly.
Team role
Product architecture, low-latency AI engineering, backend performance, and production implementation.
Result / proof
Turned a difficult AI concept into a production-grade voice platform with sub-100ms processing and a natural user experience.
Technical risk
- Reduced latency from 500ms to <100ms
- Maintained voice quality while modifying accent
- Handled variable network conditions
- Optimized model size for real-time inference
Build notes
- Real-time speech processing
- Accent softening while preserving identity
- Audio signal manipulation
- Critical sub-100ms processing
- Streaming audio pipeline
- High-performance audio processing
- WebSocket streaming
Results & impact
- Lowered voice-processing latency to sub-100ms for natural conversations.
- Maintained voice quality while improving intelligibility for global audiences.
- Enabled production-grade real-time operation under unstable network conditions.