What is Mostly AI?
Mostly AI specializes in the design and development of sophisticated artificial intelligence technology tailored for synthetic data generation. By enabling enterprises to create representative, privacy-compliant datasets, the company addresses the fundamental tension between data-driven innovation and stringent regulatory compliance. Its platform is utilized by a diverse array of industries, including mobility, govtech, and retail, allowing these sectors to train machine learning models and conduct analytics without the risks associated with handling raw, sensitive user data. Headquartered in Vienna, the company has established itself as a critical partner for organizations seeking to unlock the value of their data assets while maintaining the highest standards of security and anonymity.
How much funding has Mostly AI raised?
Mostly AI has raised a total of $31.1M across 3 funding rounds:
Angel/Seed
$1.1M
Series A
$5M
Series B
$25M
Angel/Seed (2018): $1.1M with participation from PUSH Ventures and 42cap
Series A (2020): $5M led by Earlybird, 42cap, and Push Ventures
Series B (2022): $25M supported by Citi, 42cap, Earlybird, and Molten Ventures
Key Investors in Mostly AI
Earlybird
Founded in 1997, Earlybird is a venture capital investor focused on European technology innovators. The company invests in technology, medical, and other related sectors.
42cap
42CAP is a venture capital firm that invests in seed-stage tech and data-driven B2B software companies across Europe with global ambitions.
Citi
Citibank NA is a financial services multinational corporation offering banking services and financial loans, providing strategic capital to high-growth technology firms.
What's next for Mostly AI?
With the successful completion of its latest financing round, Mostly AI is well-positioned to scale its operations and expand its footprint in the global synthetic data market. The strategic focus will likely center on enhancing its core AI engine to support more complex data structures and increasing its presence in key international markets. As the demand for privacy-centric AI tools continues to surge, the company is expected to prioritize product development and strategic partnerships that integrate its synthetic data solutions into broader enterprise workflows. This phase of growth will be pivotal in cementing its status as a leader in the synthetic data space, enabling the firm to capitalize on the ongoing digital transformation across the financial and healthcare sectors.
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