Cape Analytics uses AI and geospatial imagery to provide instant property intelligence so insurers can more accurately assess a property’s risk and value.

Analytics

Information Technology

Cape Analytics

Cape Analytics' headquarters in Mountain View, CA, United States

Alex Baroiant

Ruza Radich

Rizi Essa

Jen Mitchell, SHRM-SCP

Olivier Collignon

Jayesh Dalal

Sean Begley

Kevin Van Leer

Kate Armstrong

Nick Hatfield

Justin Quirico

Semyon Karev

Nina Ye

Yafang Cheng

Mitchell Ratisher

Faith Yurk

Dmitry Sobolevsky

Chris Wu

Corey Robinson

Colt Rothlisberger, MBA

Renzo Silvera

Mike Moore

Christian Poon

Lisa Nielsen

Ron Crockett

Eric Hunter

Malika Hogan

Tiffany Taba, MBA

Celeste S.

Ryan Scolnik

The Machine Learning and Data Science team at Cape Analytics leverages advanced machine learning techniques, data analysis, and geospatial imagery to develop models that provide instant property intelligence. Their work enables insurers to accurately assess property risk and value, enhancing underwriting and risk management processes. The team's expertise spans data science, machine learning engineering, computer vision, and geospatial analysis, ensuring robust and actionable insights from complex data sets.

Machine Learning and Data Science

The Engineering Team at Cape Analytics develops and maintains the AI-driven systems and geospatial analytics tools that provide comprehensive property intelligence. They are responsible for software development, infrastructure management, solutions engineering, and quality assurance to enable insurers to accurately assess property risk and value.

Engineering Team

The Client Success and Development team at Cape Analytics focuses on ensuring customer satisfaction and fostering long-term relationships by providing seamless onboarding, strategic support, and tailored solutions. They work closely with clients to understand their needs, optimize the use of Cape Analytics’ AI and geospatial imagery technology, and drive value through ongoing engagement and development initiatives.

Client Success and Development

The Engineering Team at Cape Analytics develops and maintains the AI and geospatial image processing systems that provide instant property intelligence. They ensure the platform's reliability, performance, and scalability, enabling insurers to make accurate risk assessments and valuations.

The Marketing and Sales Team at Cape Analytics leverages AI-driven property intelligence to craft compelling value propositions that attract and retain clients in the insurance and real estate sectors. They develop strategic partnerships, drive sales initiatives, manage digital content and event marketing, and lead promotional campaigns to enhance company visibility and growth.

Marketing and Sales Team

The Finance Team at Cape Analytics, comprising roles such as CFO, Senior Manager Corporate Finance, Senior Accountant, Senior Director of Business Development, and Director of Business Intelligence, is responsible for overseeing financial strategy, managing corporate finances, ensuring accurate financial reporting, driving business growth through strategic development, and leveraging data analytics to optimize financial performance.

Finance Team

Cape Analytics

Org chart

Teams

Machine Learning and Data Science

Engineering Team

Client Success and Development

Engineering Team

Marketing and Sales Team

Finance Team

Offices

Cape Analytics

Org chart

Teams

Machine Learning and Data Science

Engineering Team

Client Success and Development

Engineering Team

Marketing and Sales Team

Finance Team

Offices

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