MOSTLY AI

High-Level Overview

MOSTLY AI is a technology company specializing in the creation of structured synthetic data using generative AI. Its platform generates high-quality, privacy-safe synthetic datasets that closely mimic real customer data without exposing any personal information. This enables organizations—especially in privacy-sensitive sectors like finance, insurance, healthcare, and telecommunications—to comply with data protection regulations such as GDPR while accelerating AI model development, software testing, and data sharing. MOSTLY AI serves large enterprises, including multiple Fortune 100 banks and insurers in North America and Europe, helping them unlock business value from synthetic data and enabling safer, faster AI innovation[1][2][3].

Origin Story

Founded in 2017 in Vienna, Austria, by data scientists Michael Platzer, Klaudius Kalcher, and Roland Boubela, MOSTLY AI emerged from the founders’ recognition of the limitations of traditional data anonymization and the potential of AI-generated synthetic data. Inspired by advances in synthetic image generation and driven by the introduction of GDPR, they developed the first version of their Synthetic Data Platform to provide privacy-compliant, realistic synthetic datasets. Over time, MOSTLY AI expanded its platform beyond synthetic data to include mock data generation, simulated data, and AI-powered insights, all aimed at democratizing safe data access and usage across industries[3][5].

Core Differentiators

• High-fidelity synthetic data: Produces synthetic datasets that maintain statistical properties and correlations of original data without exposing sensitive information.
• Privacy and compliance: Enables organizations to comply with GDPR and other privacy regulations by eliminating direct use of personal data.
• Enterprise-ready platform: Scalable, secure deployment options (e.g., Kubernetes, OpenShift) with easy-to-use interfaces and APIs for programmatic access.
• Versatile data types: Supports structured tabular data, text-based synthetic data, mock data, and simulated data for diverse use cases like AI training, software testing, and scenario modeling.
• Strong industry focus: Deep expertise in privacy-sensitive sectors such as banking, insurance, healthcare, and telecommunications.
• Accelerates AI workflows: Reduces time-to-data and enables broader data access within organizations, fostering faster AI innovation and smarter decision-making[1][2][3][4][6].

Role in the Broader Tech Landscape

MOSTLY AI rides the growing trend of privacy-preserving data innovation amid increasing regulatory scrutiny and ethical concerns around personal data use. As AI adoption accelerates, the demand for high-quality, compliant training data grows, but public and anonymized datasets are often insufficient or risky. MOSTLY AI’s synthetic data technology addresses this gap by enabling organizations to safely generate and share realistic data, thus overcoming data scarcity and privacy barriers. This positions MOSTLY AI as a key enabler in the AI ecosystem, helping enterprises unlock the full potential of their data assets while respecting privacy and fairness[1][2][3].

Quick Take & Future Outlook

Looking ahead, MOSTLY AI is poised to expand its impact by enhancing its synthetic text generation capabilities and broadening its platform’s AI-powered insights. As enterprises increasingly prioritize ethical AI and data governance, MOSTLY AI’s solutions will be critical in enabling compliant, scalable AI deployments. The company’s continued focus on innovation, ease of use, and industry-specific expertise will likely strengthen its leadership in synthetic data and data intelligence. Emerging trends such as generative AI, data democratization, and AI regulation will shape MOSTLY AI’s journey, potentially expanding its influence as a foundational technology for privacy-safe AI development[5][6].