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title: README
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title: README
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license: gemma
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# Levers-Sonic: Redefining Real-Time AI
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Levers-Sonic is an on-premise Large Language Model (LLM) that delivers real-time conversational AI, achieving a time-to-first-token of under 0.1 seconds. This solution is engineered to be faster, more secure, and more cost-effective than major external cloud APIs.
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## Key Features
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- **Industry-Leading Performance:** Levers-Sonic provides a significant performance advantage, with average response times 5 times faster than comparable external cloud APIs . The system generates over 150 tokens per second, ensuring a smooth and natural conversational flow.
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- **Strategic Control:** By utilizing an on-premise architecture, Levers-Sonic ensures complete data security and control, with no customer data ever leaving the local environment. This facilitates compliance with data privacy regulations.
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- **Tailored Intelligence:** The model is fine-tuned using proprietary data, such as call transcripts, to create highly accurate and specialized applications for specific use cases, like debt collection. It also allows for rapid customization, including the development of models for specific languages, such as Arabic.
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- **Superior Economics:** Levers-Sonic converts the variable cost of external APIs into a predictable, fixed monthly infrastructure cost. This model allows for scaling client usage without a proportional increase in costs, improving the unit economics of the business.
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## Datasets
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### LLM
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The LLM is fine-tuned using our internal call transcript data to create hyper-specialized accuracy for our high-stakes workflows. The fine-tuning process is managed in a private Hugging Face repository and deployed directly to our own machines.
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### STT
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*Our Speech-to-Text (STT) datasets will be available here.*
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