GENXT.AI provides confidential AI solutions that allow enterprises to utilize large language models (LLMs) without exposing sensitive data, ensuring that all business and private information remains encrypted and inaccessible to third parties. Their technology enables secure model deployment, fine-tuning, and inference within isolated cloud environments, mitigating the risks of data leakage and ensuring compliance with data protection regulations.
Funding
$50K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises face significant risks when using large language models (LLMs) due to the potential exposure of sensitive business and private data to third parties, including cloud and service providers. Traditional LLM deployments lack sufficient data protection mechanisms, making it difficult to comply with stringent data protection regulations.
Solution
GENXT.AI offers confidential AI solutions that enable enterprises to leverage LLMs without exposing sensitive data. Their technology ensures that business and private information remains encrypted and inaccessible to unauthorized parties. GENXT.AI facilitates secure model deployment, fine-tuning, and inference within isolated cloud environments, mitigating the risks of data leakage and ensuring compliance with data protection regulations. This allows organizations to utilize the power of LLMs while maintaining complete control and confidentiality over their data.
Target Audience
GENXT.AI primarily targets enterprises that require the use of large language models (LLMs) but are concerned about data privacy, security, and compliance with data protection regulations.
Features
- **Confidential Inference:** Run pre-trained models within an isolated and verifiable cloud environment to ensure data safety.
- **Confidential Licensing:** Deploy proprietary ML models in client infrastructures while keeping the code and weights confidential, ensuring control over their usage.
- **Confidential Fine-Tuning:** Perform model fine-tuning using a cloud-based service while ensuring confidentiality of training data and compliance with data protection regulations.
- Eliminates risks of private data leakage and ensures compliance with data protection.
- Cost-efficient, requiring no MLOps teams or expensive hardware.
- Easy integration with OpenAI-compatible software.