SAIVA AI PUTS SERVICE OF THE PATIENT, THE RESIDENT, AND THE CAREGIVER ABOVE ALL ELSE

We are dedicated to improving patient outcomes by supporting clinical decision-making with the efficiency, and engaging power of artificial intelligence. We were founded to serve providers and clinical teams with reliable, efficient, and actionable clinical insights by leveraging their volumes of available and ongoing health record documentation with machine learning. Our mission is to deploy and continually develop tools delivered directly to care providers at the bedside before clinical decline and hospitalization occurs.

Based in Silicon Valley our team is a group of passionate healthcare technology engineers, data scientists, clinical experts, and industry veterans leveraging cutting edge technology to mitigate clinical risk and provide tools that drive timely intervention.

WE LIVE OUR VALUES

SAIVA AI approaches its mission with humility and dedication. We believe the key to tackling healthcare’s staffing shortages, burdensome regulations, and unfunded mandates is to orient all we do to product efficacy, staff efficiency, and meaningful engagement with our clinical partners. We relentlessly pursue product efficacy by delivering what we commit to those we serve. We create efficiencies by proactively prioritizing care, raising awareness and increasing collaboration. We are committed to serving clinical teams by delivering our solution within existing workflows and without requiring additional documentation, dashboard digging, or changes to staff roles.

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LEADERSHIP TEAM

Shane Dearing

Co-founder & Chief Executive Officer

Shane Dearing

Co-founder & Chief Executive Officer

Shane brings over a decade of experience as a business development and growth executive within healthcare. In his role as CEO, he draws upon his extensive background in government relations, healthcare policy, digital health, and business development, to deliver innovative and value-driven strategies to Saiva and its clients that bridge the gap between post-acute and acute care organizations.
His in depth understanding of administrative rule-making and healthcare policy also helps Saiva navigate evolving laws and regulations in healthcare.

Gili Becker

Chief Operating Officer

Gili Becker

Chief Operating Officer

Timothy Tarpey

Vice President of Growth and Development

Timothy Tarpey

Vice President of Growth and Development

Oren Ariel

Co-founder & Chief Technology Officer

Oren Ariel

Co-founder & Chief Technology Officer

Before joining SAIVA as CTO, Oren was CTO of SwiftShift, a self-managed home health company and co-founder of Capriza, an Enterprise Mobility Platform provider. Before founding Capriza, Oren served as
VP of Innovation & Design at HP Software, General Manager of HP Labs Israel and enjoyed a decade long career as CTO at Mercury. He has extensive startup experience and is also co-author of several Internet and software application related patents.

Aleks Sheynkman

Vice President of Engineering

Aleks Sheynkman

Vice President of Engineering

Before joining Saiva as VP of Engineering, Aleks was the Director of Engineering for SpaceIQ where he was instrumental in building the company’s workplace management platform into a solution used by companies large and small. He has more than 17 years’ of experience in engineering leadership, project management, software architecture, and design. His diverse background as an entrepreneur, engineering director, product designer, architect, and software developer has impacted global, interdisciplinary teams and the success of several startups.

Prof. Gill Bejerano

Co-founder & Chief Data Scientist

Prof. Gill Bejerano

Co-founder & Chief Data Scientist

Gill Bejerano holds a B.Sc. In Mathematics, Physics and Computer Science, and a Ph.D in Computer Science (Machine Learning applications in Biology) from Hebrew University of Jerusalem. Gill got into genomics in 2003, started a wet lab in 2007, began analyzing patient genomes and medical records in 2014, got into cryptogenomics in 2017 and has become very interested in healthcare economics and patient risk management in 2021. He is recognized by multiple academic awards including two best paper and tomorrow's PI awards, Mallinckrodt, Sloan, Human Frontiers, Searle, Okawa, David and Lucile Packard, Microsoft and Sony Scholar awards. Gill has trained, collaborated and advised computational scientists, experimentalists, clinicians, and MBAs and has helped both start-ups and Fortune 500 companies.

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  • Learn the importance of machine learning in anticipating clinical decline
  • Understand the trustworthiness and effectiveness of our technology
  • Become aware of the clinical decline within your patient population
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