Causal AI
Standard AI learns patterns to simply model correlations and repeat previous practice. Using the mathematics of causal inference, our proprietary AI derives the mechanisms underlying your data to produce cause-effect insights.
Data Fusion
Data in challenging domains such as healthcare is often noisy, sparse, and from mixed sources and different modalities. Our advanced data engineering and infrastructure handles these challenges seamlessly, transparently, and securely.
Decisions Intelligence
Following previous practice or gut feeling is suboptimal. Our solutions provide data-driven, cause-and-effect reasoning to compare potential futures and choose the optimal course of action: If I take this action today, what will be the outcome tomorrow?
Team
Orel Hashmatia
International business leader,
MBA London Business School
Alexander Lavin
Expert in human-centric AI systems, founded Latent Sciences (acquired), AI Advisor @ NASA
Shimon Sheiba
Causal inference in healthcare specialist (Intel and Technion)
Advisors
Jonathan Lipnik
Uri Shalit, PhD
Irit Ben-Aharon MD, PhD
Join us
Passionate about innovating in data, healthcare, AI and ML?
