Artificial intelligence (AI) continues to revolutionize various industries, and one company at the forefront of this innovation is MOSTLY AI. Recently, the Vienna-based startup made headlines with its successful $25 million Series B funding round, led by Molten Ventures [1]. This significant investment will enable MOSTLY AI to further develop and commercialize its synthetic data platform, which has the potential to transform AI model training and testing [3]. With the participation of existing investors Earlybird and 42CAP, as well as new investor Citi Ventures, MOSTLY AI is poised to bring synthetic data to every enterprise [2]. In this article, we will delve into the details of MOSTLY AI’s funding round and explore the implications of its synthetic data platform for the future of AI.


Revolutionizing AI with Synthetic Data

MOSTLY AI has gained recognition for pioneering the creation of AI-generated synthetic data [2]. Synthetic data refers to artificially generated data that mimics real-world data while preserving privacy and confidentiality. This innovative approach allows organizations to train and test AI models without compromising sensitive information [3].

The $25 million Series B funding round led by Molten Ventures is a testament to the potential of MOSTLY AI’s synthetic data platform [1]. The investment will provide the necessary resources for the company to further develop and commercialize its technology, enabling enterprises worldwide to leverage synthetic data for their AI initiatives [2].

Advantages of Synthetic Data

The use of synthetic data offers several advantages in the field of AI. Firstly, it addresses the challenge of data privacy and security. With increasing regulations and concerns surrounding data protection, organizations must find ways to train AI models without exposing sensitive information. Synthetic data provides a solution by generating realistic but entirely artificial datasets [3].

Secondly, synthetic data allows for the creation of diverse datasets that cover a wide range of scenarios. This diversity is crucial for training robust AI models that can handle various real-world situations. By generating synthetic data, organizations can ensure that their AI models are well-prepared for different scenarios, leading to improved performance and reliability [3].

Implications for AI Model Training and Testing

The availability of high-quality synthetic data has significant implications for AI model training and testing. Traditionally, organizations rely on real-world datasets, which can be limited in size, quality, or diversity. These limitations can hinder the performance and generalizability of AI models.

By leveraging synthetic data, organizations can overcome these limitations and create more robust AI models. Synthetic data allows for the generation of large-scale datasets with diverse characteristics, enabling comprehensive training and testing of AI models [3]. This approach enhances the accuracy and reliability of AI systems, making them more effective in real-world applications.

Future Prospects and Expansion

The successful funding round led by Molten Ventures positions MOSTLY AI for future growth and expansion. The investment will enable the company to further commercialize its synthetic data platform in Europe and the United States [4]. With the support of new investor Citi Ventures and existing investors Earlybird and 42CAP, MOSTLY AI is well-positioned to bring its innovative technology to enterprises worldwide [2].

Molten Ventures’ investment in MOSTLY AI reflects its commitment to supporting game-changing technologies in the field of artificial intelligence [5]. By investing $25 million in MOSTLY AI’s Series B funding round, Molten Ventures aims to strengthen its technology portfolio and contribute to the advancement of AI-driven solutions.


MOSTLY AI’s recent $25 million Series B funding round led by Molten Ventures marks a significant milestone for the company and the field of synthetic data. With this substantial investment, MOSTLY AI is poised to further develop and commercialize its innovative synthetic data platform, revolutionizing AI model training and testing. The use of synthetic data offers numerous advantages, including enhanced privacy, improved diversity, and more robust AI models. As MOSTLY AI expands its reach and brings its technology to enterprises worldwide, the future of AI looks promising.