Company Overview
Snapshot
Founded in January 2015 by Dr. Elan Sasson, Dr. Gideon Rosnetal, and Shaul Abargel, Data Science Group operates with 11–50 employees. The company has raised $6 million across two funding rounds from two investors. In June 2022, ZIM Ventures invested $6 million in Data Science Group.
Business overview
Data Science Group develops AI-based enterprise software designed to provide a comprehensive solution for maintaining AI models and ensuring compliance with emerging AI regulations. Its platform offers monitoring, alerts, root cause analysis for model shifts, recommendations, an audit trail, and version control. The company serves various industries, with use cases spanning logistics optimization, medical procedure outcome prediction, financial forecasting, and industrial processes like gold extraction, operating within the Business Software sector.
Strategic signal
In June 2022, Data Science Group secured a $6 million investment from ZIM. This strategic investment highlights the growing demand for robust AI model management and compliance solutions, particularly in sectors like logistics and shipping, and signals strong market validation for Data Science Group's platform as businesses increasingly integrate AI into their core operations.
Log in to access full profile ›Company Intelligence Q&A
- When was Data Science Group founded?
- Data Science Group was founded in January 2015 by Dr. Elan Sasson, Dr. Gideon Rosnetal, and Shaul Abargel.
- How much capital has Data Science Group raised to date?
- Data Science Group has raised a total of $6 million across two funding rounds.
- Which investor participated in the June 2022 funding round?
- In June 2022, ZIM Ventures invested $6 million in Data Science Group, as announced in a press release on June 21, 2022.
- What is Data Science Group's primary focus?
- Data Science Group focuses on developing AI-based enterprise software that provides a 360-degree solution for maintaining AI models and ensuring compliance with upcoming AI regulations.
- What are some practical applications of Data Science Group's platform?
- The platform's use cases include optimizing container shipping routes, predicting medical procedure outcomes, forecasting price fluctuations, and improving gold extraction processes.