Data Innovation that
Understands Reality
Data Raven was founded to transform data into insights and improve processes across all types of organizations – industrial, public, and commercial. The company is led by Isaac Israel, who brings over 25 years of experience in multidisciplinary technology projects in the fields of AI, ML, and Industry 4.0, including leading global initiatives with companies such as KLA, Amdocs, Orbotech, and SparkBeyond.



We collaborate with local and international companies, delivering innovative, flexible, and practical solutions. Our approach includes full customer partnership – from scoping to development, implementation, and fostering a data culture with advanced technologies.
We collaborate with local and international companies, delivering innovative, flexible, and practical solutions. Our approach includes full customer partnership – from scoping to development, implementation, and fostering a data culture with advanced technologies.
We collaborate with local and international companies, delivering innovative, flexible, and practical solutions. Our approach includes full customer partnership – from scoping to development, implementation, and fostering a data culture with advanced technologies.
Our Unique Approach
Our Unique Approach
AI integration into live production environments
AI integration into live production environments
AI integration into live production environments
Synergy between technology, operations, IT, and business
Synergy between technology, operations, IT, and business
Synergy between technology, operations, IT, and business
Gradual solutions with flexible architecture and secure data practices
Gradual solutions with flexible architecture and secure data practices
Gradual solutions with flexible architecture and secure data practices
Model explainability and interpretability
Model explainability and interpretability
Model explainability and interpretability
Building an organizational data ontology (glossary and relationships
Building an organizational data ontology (glossary and relationships
Building an organizational data ontology (glossary and relationships
Recent articles

How to empower field personnel to make data-driven decisions—without losing control
AI for Everyone: Democratizing Artificial Intelligence in Business Departments

How to empower field personnel to make data-driven decisions—without losing control
AI for Everyone: Democratizing Artificial Intelligence in Business Departments

How to empower field personnel to make data-driven decisions—without losing control
AI for Everyone: Democratizing Artificial Intelligence in Business Departments

How to empower field personnel to make data-driven decisions—without losing control
AI for Everyone: Democratizing Artificial Intelligence in Business Departments

Digital Transformation in Authorities – A Practical Guide
Advanced data analytics for every organization

Digital Transformation in Authorities – A Practical Guide
Advanced data analytics for every organization

Digital Transformation in Authorities – A Practical Guide
Advanced data analytics for every organization

Digital Transformation in Authorities – A Practical Guide
Advanced data analytics for every organization

How to implement AI in industry without disrupting the field?
Advanced data analytics for every organization

How to implement AI in industry without disrupting the field?
Advanced data analytics for every organization

How to implement AI in industry without disrupting the field?
Advanced data analytics for every organization

How to implement AI in industry without disrupting the field?
Advanced data analytics for every organization
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