Observed Signal · Feb 3, 2025 · Technical Release · Source: Tech.eu · Impact: 2/5 · Sentiment: Positive
MOSTLY AI Launches Open-Source Synthetic Data SDK
MOSTLY AI, a synthetic data company founded in 2017, has launched an industrial-grade open-source SDK for generating privacy-safe synthetic data. The toolkit, available on GitHub under Apache v2 license, allows organizations to create high-fidelity, anonymous datasets from sensitive proprietary data within their own infrastructure. The article discusses the limitations of traditional anonymization methods and highlights the value of synthetic data for AI innovation and data democratization. MOSTLY AI has raised $31 million and counts major customers including CitiBank, the US Department of Homeland Security, Erste Group, and Telefonica. The technology uses generative AI to replicate statistical patterns without exposing personal information, addressing GDPR compliance and enabling broader data access across enterprises.
The launch of an open-source synthetic data SDK from a niche vendor is relevant for privacy-preserving data sharing and AI development, but it is not a major industry-shifting event.
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Key Takeaways & Evidence Grounding
- MOSTLY AI launched an industrial-grade open-source synthetic data SDK under Apache v2 license.
- The company has raised $31 million since its founding in 2017.
- Customers include CitiBank, US Department of Homeland Security, Erste Group, and Telefonica.
- The SDK enables generating privacy-safe synthetic datasets within an organization's own compute infrastructure.
- The platform uses generative AI to create high-fidelity synthetic data that retains statistical properties without exposing sensitive information.
Connected Companies & Entities
3 Entities mapped“The company recently launched the first industry-grade open-source synthetic data toolkit (SDK), enabling any organisation to easily generat...”
“Customers include CitiBank, the US Department of Homeland Security, Erste Group, Telefonica, and two of the five largest US banks....”
Ontology Mapping & Concepts
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