Screenshot of Mostly AI

Mostly AI

Discover what Mostly AI is and how to use it effectively in 2025. Explore its features and see how it stacks up against other Data Analytics Tools.

Screenshot

What is Mostly AI?

Founded in Vienna, Austria, back in 2017, Mostly AI is a company built by data scientists Michael Platzer, Klaudius Kalcher, and Roland Boubela. They’ve really focused on using AI to create synthetic data. What does that mean? Well, they offer services like generating high-quality synthetic data, making sure data privacy and security are top-notch, providing professional training, using this synthetic data to develop AI and machine learning models, and even making it possible to share data across borders safely. Their platform, called GenAI, is pretty neat – it lets you explore and share tabular data, helps make AI and ML fairer and less biased, and makes self-service analytics a breeze. Ultimately, Mostly AI wants to change how companies handle data, pushing for smart, safe synthetic data to build a better, fairer future for everyone.

Who created Mostly AI?

Mostly AI got its start in 2017 in Vienna, Austria, thanks to its founders: Michael Platzer, Klaudius Kalcher, and Roland Boubela. These guys are all distinguished data scientists who saw the huge potential AI held for generating structured business data and, specifically, synthetic data. They were particularly inspired by the data anonymization hurdles companies faced, especially with GDPR rolling out in 2018. The core mission at Mostly AI is to help organizations thrive ethically by using safe synthetic data. Their big goal? To empower everyone with data and build a smarter, fairer future.

What is Mostly AI used for?

  • Sharing data securely
  • Developing AI and ML models
  • Enabling self-service analytics
  • Testing and Quality Assurance (QA)
  • More self-service analytics (yes, it’s that important!)

Who is Mostly AI for?

Mostly AI is a great tool for a wide range of professionals:

  • AI/ML developers
  • Data scientists
  • Software developers
  • QA testers
  • Data Analysts
  • Testing & QA professionals
  • Anyone involved in synthetic data generation
  • Data engineers
  • Software testers
  • QA professionals
  • Product developers

How to use Mostly AI?

Getting started with Mostly AI is pretty straightforward. Here’s a quick rundown:

  1. First off, you can sign up for free on the Mostly AI platform. If you’re looking for something more tailored, you can always reach out to their sales team for a demo.
  2. You’re able to generate up to 100,000 rows of synthetic data every day, completely free.
  3. They also offer professional services and training to guide you through your synthetic data journey.
  4. You can create synthetic data specifically for AI/ML development, which is a fantastic way to boost fairness and explainability in your models.
  5. The platform itself is designed with data privacy and security as top priorities, so you can feel confident using it.

To dive in, you can start by playing around with the sample datasets they provide. Or, if you prefer, you can upload your own datasets to create synthetic versions.

Mostly AI’s AI-powered technology is there to help you generate high-quality, privacy-safe synthetic datasets for all sorts of uses.

Need to share data across borders without privacy worries? This platform makes it possible.

Plus, you can tackle biases in your training datasets by using their algorithms, which really helps enhance fairness in your AI/ML models.

And don’t forget the handy features like natural language interfaces for exploring your data, a Python client for your data workflows, and the ability to create tabular data from scratch or even enrich datasets you already have.

Following these steps should give you a smooth entry into the world of synthetic data, whether you’re looking at analytics, AI/ML development, product creation, or software testing. And remember, it all happens while keeping your data private and secure.

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