Today Datomize
announced the completion of its $6 million seed funding round for the
commercialization of its synthetic data solution that accelerates time to
market for artificial intelligence (AI)/machine learning (ML) models and new
products that drive business growth. This funding round was led by TPY
Capital, as part of its thematic focus on groundbreaking data and analytics
startups, with participation from its first investor F2
Venture Capital, which backs visionary big data and AI companies.
"Datomize's synthetic data
revolutionizes the AI/ML and IT lifecycle by removing the major bottleneck that
prevents the successful deployment of AI/ML models and continuous delivery of
evolving applications," said Avi Weiss, Founder and Chief Executive Officer
(CEO). "Datomize makes the generation and management of synthetic data
simpler, more effective, and efficient, so that highly trained and hard to find
data scientists can focus on analysis and strategy."
There is a massive data shortage caused by
data privacy laws that is limiting the effectiveness of development and
training of AI/ML models. According to the Gartner Hype Cycle for Privacy
released July 2020, authored by Bernard
Woo and Bart
Willemsen, "One of the major problems with AI development today is the
burden in obtaining real-world data and labeling it so that AI may be trained
effectively. Synthetic data addresses the problem of volume and variety for
sparse, nonexistent or difficult to get data".
Datomize synthesizes new data that preserves
the behavioral features of the original data without violating personal privacy
regulations. Designed based on real customer data and insights from global
banks, Datomize is uniquely able to process highly complex data structures with
multiple dependencies and is fully scalable to process thousands of tables with
millions of records. Datomize improves the efficiency and speed of developing
and training AI/ML models and applications for hundreds of use cases, as
companies become more data-driven in the new online economy.
"Datomize has the potential to enable
enterprises to unlock the value of one of the most prized assets - their data.
It eliminates one of the biggest concerns of executives and regulators,
jeopardized privacy, by producing synthetic data which can be used for multiple
business applications," commented Dekel Persi from TPY. "We are
particularly happy to back a founding team which combines a successful
entrepreneurship track record with technological depth."
Jonathan Saacks from F2 commented, "We
are backing Datomize because they have the right solution at the right time.
They are supplying exactly what organizations need to accelerate their digital
transformation initiatives. Designed using real word data from international
banks, Datomize has the ability to unlock the value organizations can receive
from their data with the scale and speed global organizations need so that
their AI/ML models are more powerful, accurate, and can become fully
operational faster."
The three Datomize co-founders include Avi
Weiss, CEO, previously co-founder of ObserveIT, acquired by Proofpoint, Sigal
Shaked, CTO and PhD in Software and Systems Engineering with over 15 years of
experience in research and implementation of data solutions, and Roy Yogev, who
has helped Fortune 500 companies bring new ideas to market for over 25 years.