Mostly AI

Still struggling with real data? Use existing data and the power of Generative AI for synthetic data generation. Synthetic data is privacy-safe and fully flexible to work with.

Founded

2017

Employees

26-50

Customers

Citi, City of Vienna, Telefonica

Funding

$31m

Funding Rounds

3

Categories

Depts likely to use:

OTT functionality:

Type:

SOLUTIONS

Synthetic data is artificially generated data created by AI models trained on real datasets to mimic their statistical properties without containing any actual data points from the original. This ensures privacy and prevents re-identification. Synthetic data retains the structure and statistical correlations of the original data, making it suitable for tasks like training AI models, software testing, and data sharing in privacy-sensitive applications.

MOSTLY AI offers several features through its Synthetic Data Platform, including:

  1. User Interface: A simple, web-based interface that’s accessible to non-data scientists.
  2. Accuracy and Privacy: Generates high-accuracy synthetic data with built-in privacy mechanisms to prevent re-identification.
  3. Data Insights Reports: Provides detailed reports to assess the quality of synthetic data.
  4. Time-series Support: Specializes in synthesizing complex data like customer behavior records.
  5. Data Rebalancing: Allows adjustment of variable distributions for specific use cases.
  6. Smart Imputation: Uses AI to fill gaps in data more effectively.
  7. Temperature Control: Adjusts the generation of synthetic data for experimental purposes.
  8. Data Connectors and API: Supports multiple data connectors and provides API for integration.

ABOUT THE COMPANY

MOSTLY AI is a company founded in 2017 in Vienna, Austria, focused on generating synthetic data using AI.

They aim to enable organisations to ethically and responsibly use synthetic data to enhance business operations. The company emphasises data privacy and security, offering a platform that generates synthetic versions of datasets, ensuring they remain privacy-safe while still being useful for tasks like machine learning and analytics.

They are backed by European VCs and have a diverse, international team committed to innovation and customer satisfaction.

FINANCES

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