• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

AI-powered Insurtech, Zesty.ai Closes Series A Funding of US$ 13 Million

December 10, 2018 By admin Leave a Comment

Zesty.ai, a leading Artificial Intelligence (AI) startup based in the San Francisco Bay Area, has announced today the closure of its Series A financing round of US$ 13 million. Luxembourg-based private investment fund, Blamar has led the financing. Plug & Play Ventures and existing investors also participated in the round demonstrating their continued commitment to the company. This funding confirms zesty.ai’s position as an innovative leader in the large-scale digital transformation underway in the $5 trillion-dollar global insurance industry.

Zesty.ai harnesses the power of Artificial Intelligence to help Property & Casualty insurance carriers, reinsurers, Managing General Agents and Insurtechs better assess risk. The company has developed cutting-edge computer vision technology leveraging satellite and aerial imagery combined with structured data sources to capture billions of data points on buildings and their surroundings without ever setting foot on the premises. Zesty.ai leverages machine learning to model multi-peril catastrophic loss events (e.g., hurricane, wildfire, flood etc.) at the property level with unprecedented accuracy.

Zesty.ai insurance customers benefit from:

Decreased loss ratios driven by more accurate underwriting,
Tighter customer and agent relationships given a delightful, digital purchasing experience,
Decreased expense ratios due to lesser need for physical inspections.
For example, the insurance industry was blindsided by the magnitude of losses in the wake of the California wildfires amounting to US$ 16 billion in 2017 and up to US$ 19 billion to date in 2018. Insurers rely on outdated Fire Hazard Severity Zone maps to assess wildfire risk that missed the mark in ~85% of the cases during the 2017 wildfire in Santa Rosa, CA. Zesty.ai has released its wildfire model that integrates high fidelity property level features about vegetation, building materials, neighborhood characteristics, topography, weather patterns and more. Zesty.ai uses machine learning to combine these unique risk modifiers, most of which have never been accurately captured before, with actual loss data from the various wildfire events into a predictive risk score that dramatically impacts underwriting decisions and risk mitigation strategies.

“We are honored that zesty.ai has chosen Blamar as their capital partner. Our long-term investment philosophy aligns closely with the momentous opportunity in front of the company,” said Laszlo Bots, CEO of Blamar. “We know Attila and Kumar well and have the utmost confidence in their execution capabilities.”

Partner insurance executives of Plug & Play, a leading Insurtech ecosystem of 80+ global insurance companies voted zesty.ai the Most Innovative Insurtech Startup in August 2018. “Many of our members are excited to partner with zesty.ai and the feedback on the product has been overwhelmingly positive,” commented Ali Safavi, Partner of Plug & Play Ventures. “This is the reason why we decided to invest in this financing round.”

“Artificial Intelligence will revolutionize the traditionally data-driven insurance industry and we are thrilled to be at the forefront of this massive change,” said Attila Toth, CEO and Co-Founder of zesty.ai. “We are immensely thankful to our customers, employees, investors and partners for enabling us to become a leader in this space!”

The company will use the capital infusion to expand its data science, engineering and customer success teams and ingest additional proprietary data into its platform.

About zesty.ai
Zesty.ai leverages Artificial Intelligence to help the trillion-dollar global property insurance industry better assess risk. We use the latest advancements in computer vision and deep learning on 115+Bn data points on residential and commercial properties to extract key building features to accurately model the potential impact of catastrophic and attritional loss events. For more information visit: https://zesty.ai.

Filed Under: Tech

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Footer

Recent Posts

  • From Inventor to Follower: How the West Ceded WiFi’s Cutting Edge to China
  • Creao AI and the Closed-Loop Bet on Autonomous Work
  • Loop Raises $95 Million to Build the Intelligence Layer for Supply Chains
  • Booz Allen Backs Ulysses to Scale Autonomous Maritime Robotics
  • Quantum for Bio Challenge Winners Signal Real Momentum for Quantum Computing in Healthcare
  • Expo Raises $45 Million to Push Agentic Mobile App Development Into Production Reality
  • What are the reasons technology companies get acquired?
  • Resolve AI Raises $40 Million to Build the Missing Layer Between AI Models and Production Reality
  • Wayve’s $60 Million Extension Matters Because the Intelligence Stays on the Machine
  • Accenture Bets on Physical AI with General Robotics Investment

Media Partners

  • Market Analysis
  • Cybersecurity Market
Global WiFi Market: Size, Segmentation, Trends, and Forecast to 2030
Synera’s $40M Series B: What the Press Release Isn’t Saying
Amazon’s Globalstar Acquisition Is a Spectrum War Dressed as a Satellite Deal
The End of Manual Audits: Why AI-Native Accounting Is Not Optional Anymore
Raspberry Pi’s Earnings Beat Signals a Shift From Hobbyist Hardware to Embedded Infrastructure
Betting the Backbone: A Multi-Year Positioning on AMD, Broadcom, and Nvidia
Nvidia’s Groq 3 LPX: The $20B Bet That Could Define the Inference Era
Why Arm’s New AI Chip Changes the Rules of the Game
A Map Without Hormuz: Rewiring Global Oil Flows Through Fragmented Corridors
RoboForce’s $52 Million Raise Signals That Physical AI Is Moving From Demo Stage to Industrial Scale
International Cybersecurity Challenge 2026, May 18–21, Gold Coast, Australia
Bitdefender Expands GravityZone With Extended Email Security to Close the Inbox Gap
The Security Blind Spot Inside the Arduino-Powered IoT Boom
Altum Strategy Group: Cybersecurity in 2026 Is No Longer a Technology Problem
Trent AI and the Security Layer the Agentic Stack Has Been Missing
Gartner Security & Risk Management Summit, June 1–3, 2026, National Harbor, MD
Ashdod Port Has Blocked 134,000 Cyberattacks—and Kept Israel’s Trade Moving
Black Hat Asia 2026, April 23–24, Singapore
World Backup Day 2026: Why Recovery Has Become the Real Test of Cyber Resilience
Cyberhaven Launches Agentic AI Security as Shadow Agents Move Onto the Enterprise Endpoint

Media Partners

  • Market Research Media
  • Technology Conferences
How WiFi Changed Media
Canva Acquires Simtheory and Ortto to Build End-to-End Work Platform
Netflix Price Hikes, The Economics of Dominance in a Saturated Streaming Market
America’s Brands Keep Winning Even as America Itself Slips
Kioxia’s Storage Gambit: Flash Steps Into the AI Memory Hierarchy
Mamdani Strangling New York
The Rise of Faceless Creators: Picsart Launches Persona and Storyline for AI Character-Driven Content
Apple TV Arrives on The Roku Channel, Expanding the Streaming Platform Wars
Why Attraction-Grabbing Stations Win at Tech Events
Why Nvidia Let Go of Arm, and Why It Matters Now
COMPUTEX 2026, June 2–5, Taipei Nangang Exhibition Center & Taipei World Trade Center
ENGAGE 2026, April 27–28, New York
NAB Show 2026, April 18–22, Las Vegas
VivaTech 2026, June 17–20, Porte de Versailles, Paris
Accelerate 2026, May 21–22, 2026, Salt Palace Convention Center
JSNation 2026, June 11 & June 15, Amsterdam and Remote
ICMC 2026, July 30–31, Long Beach
Elevate 2026, April 22–24, 2026, Atlanta
WWDC 2026, June 8–12, Cupertino & Online
Zip Forward Europe 2026, April 16, 2026, London

Copyright © 2022 Technologies.org

Media Partners: Market Analysis & Market Research and Exclusive Domains, Photography