Mostly AI

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MOSTLY AI generates synthetic data for privacy, AI/ML development, and fairness in analytics with its GenAI platform.

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What is Mostly AI?

MOSTLY AI is a company founded in 2017 in Vienna, Austria by data scientists Michael Platzer, Klaudius Kalcher, and Roland Boubela. The company specializes in synthetic data generation using AI technology. They offer services such as creating high-quality synthetic data, prioritizing data privacy and security, providing professional training, using synthetic data for AI/ML development, and enabling cross-border data sharing. Their platform, GenAI, allows users to explore and share tabular data, contribute to fairness and bias mitigation in AI/ML, and facilitate self-service analytics. MOSTLY AI aims to revolutionize how organizations work with data by promoting the use of smart and safe synthetic data to build a smarter and fairer future for everyone.

Who created Mostly AI?

Mostly AI was founded in 2017 in Vienna, Austria by Michael Platzer, Klaudius Kalcher, and Roland Boubela, who are distinguished data scientists. They recognized the potential of AI in generating structured business data and creating synthetic data. The founders were inspired by the challenges companies faced with data anonymization, especially with the introduction of GDPR in 2018. Mostly AI's mission is to enable organizations to thrive ethically with safe synthetic data, aiming to build a smarter and fairer future with data empowerment for all.

What is Mostly AI used for?

Data sharing
AI/ML development
Self service analytics
Testing & QA
Self-service analytics

Who is Mostly AI for?

AI/ML developers
Data scientists
Software developers
QA testers
Data Analysts
Testing & QA professionals
Anyone working with synthetic data generation
Data engineers
Software testers
QA professionals
Product developers

How to use Mostly AI?

To use Mostly AI, follow these steps:

Sign up for free on the Mostly AI platform or contact the sales team for a demo.
Generate up to 100K rows of synthetic data daily for free.
Access professional services and training for your synthetic data journey.
Create synthetic data for AI/ML development to enhance fairness and explainability.
Benefit from a platform that prioritizes data privacy and security.
Start by using the provided sample datasets or upload your datasets to create synthetic data.
Utilize the platform's AI-powered technology to generate high-quality, privacy-safe synthetic datasets for various use cases.
Share synthetic data across borders without compromising privacy.
Address biases in training datasets using algorithms to enhance fairness in AI/ML models.
Use features like natural language interfaces for data exploration, Python client for data workflows, and creating tabular data from scratch or enriching existing datasets.

These steps ensure a smooth entry into the realm of synthetic data for various purposes like analytics, AI/ML development, product development, and software testing, all while maintaining data privacy and security.

Pros

Easy Deployment Options
Cross-Border Sharing
Natural language interface
Comes with tools like Python Client for data workflows
Highest accuracy synthetic data
Built for the Enterprise
Fully anonymous synthetic data creation
Easy integration into existing data workflows
World's most accurate synthetic data
Easy sharing internally and externally
Optimized GenAI models for highest performance
Enhance ML model performance
AI/ML Optimization
Privacy by Design
Scalability for Enterprise Organizations

Cons

No specific cons or missing features mentioned in the document.
No specific cons found in the provided documents.
No specific cons were found in the document
No specific cons mentioned in the provided information.
No specific cons or missing features were identified for Mostly AI within the provided documents.
No information available on cons
Missing feature comparisons with other AI tools in the industry
Limited information on specific cons or drawbacks of Mostly AI

Pros

Cons

Easy Deployment Options
Cross-Border Sharing
Natural language interface
Comes with tools like Python Client for data workflows
Highest accuracy synthetic data
Built for the Enterprise
Fully anonymous synthetic data creation
Easy integration into existing data workflows
World's most accurate synthetic data
Easy sharing internally and externally
Optimized GenAI models for highest performance
Enhance ML model performance
AI/ML Optimization
Privacy by Design
Scalability for Enterprise Organizations

No specific cons or missing features mentioned in the document.
No specific cons found in the provided documents.
No specific cons were found in the document
No specific cons mentioned in the provided information.
No specific cons or missing features were identified for Mostly AI within the provided documents.
No information available on cons
Missing feature comparisons with other AI tools in the industry
Limited information on specific cons or drawbacks of Mostly AI

Mostly AI FAQs

What is synthetic data?: Synthetic data is artificially generated data that mimics the structure and statistical properties of real-world data without containing any actual sensitive information, ensuring privacy and security.

How much synthetic data can you generate with MOSTLY AI for free?: MOSTLY AI offers up to 100K rows of synthetic data generation for free every day, catering to AI/ML development, analytics, product development, and software testing needs.

How can synthetic data contribute to fairness and bias mitigation in AI/ML?: Synthetic data mitigates bias and enhances fairness through the use of algorithms that identify and correct embedded biases in training datasets, thereby promoting more equitable AI/ML models.

How do you get started with creating synthetic data using MOSTLY AI's platform?: You can get started with MOSTLY AI's platform by either using sample datasets provided or by uploading your own datasets to create your first synthetic dataset.