Maya Data provides a data anonymization solution, AppSafe, that transforms sensitive customer and business data into GDPR-compliant datasets for AI and machine learning model training. This technology enables organizations to utilize production data without compromising privacy or requiring access to the production environment, resulting in a 70% cost reduction and 80% faster implementation compared to traditional methods.
Funding
$527.8K 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
Organizations face challenges in leveraging sensitive customer and business data for AI and machine learning model training due to privacy regulations like GDPR. Traditional data anonymization methods can be costly, time-consuming, and may require direct access to production environments, increasing security risks.
Solution
Maya Data provides a suite of data privacy solutions, including AppSafe, FileSafe, and AISafe, designed to transform sensitive data into GDPR-compliant datasets. AppSafe anonymizes data within databases, while FileSafe removes sensitive information from files. AISafe removes sensitive data from inputs before they are used in Large Language Models (LLMs). These solutions enable organizations to utilize production data for AI and ML model training, testing, and development without compromising privacy or requiring access to the production environment. The platform ensures data quality and consistency across various data sources, including cloud, on-premise, and hybrid environments.
Target Audience
The primary target audience includes enterprises in finance, healthcare, HR, and other sectors that require secure and compliant data management for AI/ML model training and testing.
Features
- AppSafe: Data anonymization for databases, offering enhanced capabilities for utility and security.
- FileSafe: Removes sensitive data from files to ensure a secure and confidential experience.
- AISafe: Removes sensitive data from inputs before sharing them with ChatGPT and other LLMs.
- Data transformation at the source (cloud, on-premise, hybrid).
- Scalable process that is standardized and repeatable.
- Compliant with GDPR and other privacy regulations.
- Consistent anonymization across files, databases, and APIs.