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<img src="https://cdn-uploads.huggingface.co/production/uploads/689ebd11b146d76eed827a9f/27TbXiCccqh-sSJo8RrtS.png" alt="Praha Labs Banner" width="100%">
## 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
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## 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 |
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## 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
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## 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. |