--- pinned: true thumbnail: >- https://cdn-uploads.huggingface.co/production/uploads/689ebd11b146d76eed827a9f/27TbXiCccqh-sSJo8RrtS.png --- Praha Labs Banner ## Focus Areas * 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 --- ## Featured Work | 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 | --- ## Mission Most AI systems are either too general, too large, or too disconnected from real-world workflows. Praha Labs exists to build focused AI systems that are smaller, faster, and useful in specific domains. Our goal is to create AI models and agents that are: * 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 --- ## Current Direction We are actively working on: * 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 --- ## Praha Labs Building practical AI systems for agents, voice, and domain intelligence.