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§ Private Profile · Tel Aviv, Tel Aviv, Israel
SaaS provider with an AI platform for synthetic data, enabling AI/ML model development with data privacy for financial services.
Based in Tel Aviv-Yafo, Israel, Datomize develops an artificial intelligence platform that generates privacy-compliant synthetic data to accelerate the training and testing of complex machine learning models. Founded in 2019 by Avi Weiss, Sigal Shaked, and Roy Yogev, the seed-stage software-as-a-service provider has raised $6 million in funding from lead investors TPY Capital and F2 Venture Capital. The executive team brings significant enterprise software experience, including CEO Avi Weiss previously co-founding ObserveIT before its acquisition by Proofpoint. The enterprise software solution allows large organizations operating in highly regulated sectors, such as global financial services and insurance, to overcome critical data shortages while maintaining strict compliance with regulatory frameworks like GDPR. By mimicking real data behaviors without exposing sensitive personal information, the system enables the faster development and deployment of advanced analytics applications across complex data-driven environments.
Datomize Ltd. has raised $6.0M across 1 funding round.
Datomize Ltd. has raised $6.0M in total across 1 funding round.
Datomize Ltd. has raised $6.0M in total across 1 funding round.
Datomize Ltd.'s investors include TPY Capital, Aleph VC, Entrée Capital Ventures, Insight Partners, Pitango Venture Capital, Sapphire Ventures, Sequoia Capital Israel, Smash Capital, Telescope Partners, Pratik Kapoor, Yaron Lemelbaum, Jonathan Saacks.
Datomize Ltd. has raised $6.0M across 1 funding round. Most recently, it raised $6.0M Seed in January 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 1, 2021 | $6M Seed | TPY Capital | Aleph VC, Entrée Capital Ventures, Insight Partners, Pitango Venture Capital, Sapphire Ventures, Sequoia Capital Israel, Smash Capital, Telescope Partners, Pratik Kapoor, Yaron Lemelbaum, Jonathan Saacks | Announced |
Datomize Ltd. is an Israeli technology company developing an AI-powered data generation platform that creates synthetic tabular data and free-text fields to augment existing datasets for data analysts and machine learning engineers.[1][2][4] It serves sectors like finance, insurance, analytics, and machine learning by addressing data gaps, improving ML model accuracy, robustness, and fairness, while enabling secure data sharing without exposing sensitive information.[1][2] The platform simulates real-world scenarios, supports privacy-compliant collaboration, and integrates via a Python SDK, helping users make better decisions with balanced, representative data.[2]
Founded around 2019-2020 in Tel Aviv, Datomize has raised funding from investors like F2 and shows early traction in synthetic data generation, a critical need for AI development amid data scarcity and privacy regulations.[1][2][3]
Datomize Ltd. emerged in Tel Aviv, Israel, with founding dates listed as 2019 or January 2020 (also known briefly as Datawizz).[1][2][3] Key team members include William Mischel, Head of CS & Operations with expertise in security, customer delivery, architecture, and compliance; Sigal Shaked, CTO; and Avi Weiss, among others.[1] The idea stemmed from the need to maximize analytical datasets in AI and ML workflows, where real-world data often lacks volume, balance, or privacy safety—leveraging generative AI to replicate and resize data behaviors extracted from existing sources.[1][2]
Early momentum came from investor backing by F2 and positioning in high-demand areas like data modeling for finance and insurance, setting the stage for scalable synthetic data solutions.[1]
Datomize rides the explosive growth of generative AI and synthetic data trends, fueled by ML demands for high-quality, diverse training data amid real-data shortages from privacy laws (e.g., GDPR) and collection costs.[2] Timing is ideal as enterprises in finance, insurance, and healthcare prioritize robust AI models—Datomize's platform counters biases, boosts model performance, and supports ethical AI scaling.[1][2] It influences the ecosystem by enabling safer data ecosystems, reducing reliance on raw data hoarding, and accelerating AI adoption in regulated industries, akin to competitors like Dedomena but with a focus on tabular augmentation and SDK accessibility.[2]
Datomize is poised for expansion as synthetic data becomes table stakes for enterprise AI, with potential growth in partnerships for vertical-specific models (e.g., insurance risk simulation) and broader SDK adoption.[2] Trends like multimodal AI and stricter global privacy rules will amplify demand, evolving its role from augmenter to core infrastructure provider—watch for Series A traction and global pilots to solidify momentum in Israel's AI hub.[1] This positions Datomize to transform data-constrained AI pipelines into decision engines, echoing its founding promise of reality-reflecting analytics.[1][2]