ZestyAI
548 Market Street, PMB 75392, San Francisco, California, 94104, United States
Overview
Zesty.ai is a San Francisco-based provider of property risk analytics that uses AI and computer vision to create a digital twin for every building in North America. Its datasets encompass roughly 200 billion property insights covering details that affect property value and natural disaster risks. The company offers intelligence to insurers and real estate firms to inform underwriting, risk assessment, and asset management. In July 2022 Zesty.ai closed a $33 million Series B to accelerate product expansion across insurance and to develop new real estate solutions. The oversubscribed round included both equity and debt and was led by Centana Growth Partners, with participation from current investors and Brex. Zesty.ai plans to scale its go-to-market motion and build solutions targeted at mortgage, property, and asset management using the new capital. Zesty.ai develops computer vision and machine learning models that ingest satellite and aerial imagery plus structured data to capture billions of data points about buildings and their surroundings. Its platform integrates property-level features—vegetation, building materials, neighborhood characteristics, topography, weather patterns—and combines them with actual loss data from wildfire events to produce predictive risk scores. The company targets Property & Casualty carriers, reinsurers, managing general agents and insurtechs to inform underwriting and risk mitigation. Zesty.ai is led by Attila Toth (CEO) and Kumar Dhuvur (Head of Product). The company closed a US$13m Series A and plans to use the proceeds to expand its data science, engineering and customer success teams and to ingest additional proprietary data into its platform.
- Total raised
- $46M
- Funding rounds
- 3
- Latest round
- Series B
- Latest activity
- Jul 2022
Industries
- Analytics
- Artificial Intelligence (AI)
- InsurTech
- Machine Learning
- Property Insurance
- PropTech
- Real Estate
- Software
Recent funding
Series B
Jul 2022
$33M
Series A
Dec 2018
$13M