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Gong
Gong.io Inc.
Gong is a revenue intelligence and Revenue AI platform designed to help businesses understand customer interactions, improve sales performance, and manage revenue…
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Smallest AI is an AI research and voice technology company focused on compact, efficient models for real-time AI applications. Its platform provides text-to-speech, speech-to-text, speech-to-speech, small language models, and voice-agent infrastructure. Its current model family includes Lightning for TTS, Pulse for STT, Electron for language modeling, and Hydra for speech-to-speech interactions. Smallest AI is designed for low-latency voice agents, conversational AI, contact centers, and other real-time voice applications.
Key Features
- Real-time text-to-speech
- Speech-to-text
- Speech-to-speech
- AI voice agents
- Lightning TTS
- Lightning v3.1
- Lightning v3.1 Pro
- Pulse STT
- Pulse Pro
- Electron small language model
- Hydra speech-to-speech model
- Ultra-low-latency voice processing
- Approximately 200 ms TTFB for Lightning
- Voice cloning
- Instant voice cloning
- Multilingual speech
- Automatic language routing
- Mid-sentence language switching
- Emotion-aware speech recognition
- Speaker diarization
- Word-level timestamps
- Pronunciation dictionaries
- Speech speed control
- 44.1 kHz audio output
- MP3, WAV, PCM, μ-law and A-law output
- HTTP API
- SSE streaming
- WebSocket streaming
- OpenAI-compatible API through Electron
- Tool calling
- Voice-agent workflows
- Web voice widgets
- Telephony
- Knowledge bases
- Post-call analytics
- Custom integrations
- Webhooks
- On-premise deployment
- Private-cloud deployment
- Self-hosted TTS and STT options
- SOC 2 Type 2
- ISO 27001
- GDPR compliance
- HIPAA compliance
Pros & Cons
Pros
- Very low latency for real-time voice applications
- Supports TTS, STT, S2S, and LLM capabilities
- Provides voice cloning
- Supports multilingual voice applications
- Offers real-time WebSocket and SSE streaming
- Provides an OpenAI-compatible interface through Electron
- Supports voice-agent tool calling
- Offers enterprise security and compliance
- Supports private-cloud and on-premise deployments
- Provides self-hosting options for TTS and STT
- Offers integrations with CRM and automation platforms
- Designed for high-volume production workloads
Cons
- Primarily focused on developers and businesses building voice applications
- Usage-based pricing can become expensive at high volumes
- Some advanced capabilities are restricted to Enterprise plans
- Language and voice availability varies between models
- Voice cloning is available on the standard Lightning pool but not Lightning v3.1 Pro
- Self-hosting requires technical infrastructure and deployment knowledge
- Some newer models and features are still evolving
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