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| <img src="https://cdn-uploads.huggingface.co/production/uploads/689ebd11b146d76eed827a9f/27TbXiCccqh-sSJo8RrtS.png" alt="Praha Labs Banner" width="100%"> |
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| ## Focus Areas |
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| * AI agents and workflow automation |
| * Domain-specific small language models |
| * Indic Text-to-Speech |
| * Expressive speech datasets |
| * Low-latency model inference |
| * Codec-based speech generation |
| * Custom model fine-tuning and adaptation |
| * ASR, TTS, and multimodal AI pipelines |
| * Production-oriented AI systems for real use cases |
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| ## Featured Work |
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| | Project | Type | Description | |
| | ----------------------------------------------------------------------------------------------------------- | ------- | --------------------------------------- | |
| | [PrahaTTS-ML](https://huggingface.co/Praha-Labs/PrahaTTS-ML) | Model | Malayalam TTS model based on Chatterbox | |
| | [PrahaTTS-ML-17K-Adapter](https://huggingface.co/Praha-Labs/PrahaTTS-ML-17K-Adapter) | Adapter | Malayalam TTS LoRA adapter | |
| | [PrahaTTS-ML-Expressive-Adapter](https://huggingface.co/Praha-Labs/PrahaTTS-ML-Expressive-Adapter) | Adapter | Expressive Malayalam speech adapter | |
| | [PrahaTTS-ML-Expressive-Dataset](https://huggingface.co/datasets/Praha-Labs/PrahaTTS-ML-Expressive-Dataset) | Dataset | Expressive Malayalam TTS dataset | |
| | [indic-Malayalam](https://huggingface.co/datasets/Praha-Labs/indic-Malayalam) | Dataset | Malayalam speech dataset | |
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| ## Mission |
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| Most AI systems are either too general, too large, or too disconnected from real-world workflows. |
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| Praha Labs exists to build focused AI systems that are smaller, faster, and useful in specific domains. |
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| Our goal is to create AI models and agents that are: |
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| * practical for real products |
| * fast enough for interactive use |
| * strong on Indian languages and local contexts |
| * adaptable to specific business domains |
| * useful for developers, startups, and enterprises |
| * deployable through APIs, automation workflows, and eventually on-premise systems |
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| ## Current Direction |
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| We are actively working on: |
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| * AI agents for automation and productivity |
| * domain-specific small LLMs |
| * custom model fine-tuning pipelines |
| * Malayalam and Indic TTS |
| * expressive voice generation |
| * compact speech models |
| * low-latency inference systems |
| * ASR/TTS pipelines for Indian languages |
| * agentic workflows connected to tools, APIs, and databases |
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| ## Praha Labs |
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| Building practical AI systems for agents, voice, and domain intelligence. |
