Hoosh Factory
Custom AI Production Factory
Hoosh Factory builds AI based on your real data and needs. From data review and preparation to training and delivery of the final model.
AI Model Training
About the application
General description
Many businesses need AI, but ready-made tools are not enough for them. Data is unique, applications vary, and accuracy is critically important. In these conditions, the only effective solution is building custom AI. Hoosh Factory is designed for this purpose. Hoosh Factory is a specialized AI production center that executes AI projects end-to-end. The client provides their data, the data is evaluated and prepared, the appropriate model is selected or designed, and the training, optimization, and delivery process is carried out. The result is a model that perfectly matches the client's real needs.
Benefits
Why Hoosh Factory?
- 1
AI precisely tailored to your needs
Neither a general model nor a half-baked solution.
- 2
Effective use of proprietary data
Data turns into real assets.
- 3
Reducing risk in AI projects
Controlled and step-by-step process.
- 4
Higher quality compared to off-the-shelf models
More accuracy, stability, and compliance.
- 5
Deliverable ready for product integration
The final model is ready for operational use.
- 6
Expert support throughout the entire process
Complete support from data to the final model.
Features
What features does Hoosh Factory offer?
Hoosh Factory is a production service, not a ready-made tool. This platform is designed for projects that require high accuracy, exclusive data, and custom solutions. At Hoosh Factory, AI is built based on real needs, not predefined templates.
Input Data Evaluation and Validation
Checking whether the data is suitable for training or not.
Data Cleaning and Preparation
Converting raw data into trainable data.
Training and Fine-tuning AI Models
Building or optimizing the model based on customer data.
Custom Audio and Speech Model Generation
Creating custom TTS and audio models.
Quality Assessment and Final Optimization
Ensuring the real-world performance of the model.
Model Delivery, Deployment, and Support
Model ready for use in a real environment.
Input Data Evaluation and Validation
In the first step, customer data is reviewed to determine whether it is suitable for training the model in terms of volume, quality, diversity, and structure. At this stage, data weaknesses are identified and reported. Example: It is determined whether the text data is sufficient for training the LLM or needs to be supplemented.
Data Cleaning and Preparation
If necessary, data is cleaned, standardized, and structured. Noise is removed, duplicate data is corrected, and the data is prepared for the training process. Example: Noisy audio files are cleaned to ensure the TTS model produces higher quality output.
Training and Fine-tuning AI Models
Depending on the project, an appropriate model is selected or an existing model is fine-tuned. This process is carried out under expert supervision to achieve the desired accuracy and stability. Example: Fine-tuning a language model for precise responses in a specialized domain.
Custom Audio and Speech Model Generation
Hoosh Factory can generate custom speech models from customer audio data; such as creating a unique voice for a brand or a specific individual.
Quality Assessment and Final Optimization
After training, models are tested and evaluated. The accuracy, stability, and behavior of the model are examined, and final optimization is performed if needed.
Model Delivery, Deployment, and Support
The final model is delivered in a usable form; whether for use via API or deployment in the customer's infrastructure. Support and updates are also provided if required.
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