Would you trust a mechanic who fixes bikes to rebuild a jet engine? Then why trust a generalist to understand the nuances of property insurance? In the property insurance industry, the challenge is not only risk complexity but data complexity. Submissions arrive in inconsistent formats, critical details are often missing or unstructured, and essential context can be difficult to interpret at scale. When the data foundation is fragmented, everything built on top of it becomes harder to trust and slower to act on. That is where generalist approaches fall short. PING is built to solve this at the source. 👉 PING.Extraction turns unstructured SOVs, ACORDs, and loss runs into structured data that teams can actually use. 👉PING.Location enriches every property with building and location intelligence for clearer risk understanding. 👉PING.Catastrophe connects portfolios directly to CAT models for faster and more consistent catastrophe analysis. So, decisions are based on structured intelligence, not incomplete information. Curious to learn more? Book a demo: https://lnkd.in/gH_8iAVu
Ping Intel
Insurance
Miami Beach, FL 1,176 followers
State of the art underwriting using artificial intelligence.
About us
Data-driven insights powered by machine learning for the insurance ecosystem.
- Website
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https://www.pingintel.com/
External link for Ping Intel
- Industry
- Insurance
- Company size
- 11-50 employees
- Headquarters
- Miami Beach, FL
- Type
- Privately Held
- Founded
- 2021
- Specialties
- InsurTech and Machine Learning
Locations
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Primary
Get directions
Miami Beach, FL, US
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Get directions
1111 Lincoln Rd
Miami Beach, Florida 33139, US
Employees at Ping Intel
Updates
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Still figuring out how to handle exposure data at scale? You’re not alone. Join us for a live session with Bill Granfield on April 29th at 10 CT, where we’ll dig into how AI and PING’s universal taxonomy can help make sense of complex data and turn it into insights you can actually use. More details coming soon, but you can save your spot here 👇 https://lnkd.in/e5Hmp_3j
Struggling to manage exposure data at scale? You’re not alone. Join our very own Bill Granfield in an upcoming webinar on 04/29/2026 at 10 CT to discover how AI and PING’s universal taxonomy transform messy data into actionable insights. During the session, Bill will cover: 1. Why coding exposures at scale is so challenging 2. What happens when errors occur 3. How AI solutions simplify data management 4. Tips for evaluating AI vendors 5. How to measure success Stay tuned and reserve your spot here:
Using AI to Manage Exposure Data at Scale for CAT Modeling
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“CAT modeling just takes days.” It’s a widely accepted part of the process. But in reality the delay isn’t coming from the model itself; it’s the manual prep work behind it. In this PING Mythbusters episode, we break down how automating data extraction, formatting, and model triggering can remove bottlenecks and significantly speed up turnaround times. Book a demo to see it in action: https://lnkd.in/gH_8iAVu
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In today’s crowded insurtech landscape, it can be difficult to tell which solutions truly understand insurance and which are simply built to sound impressive. A comparison we use internally is “driving the bulldozer.” Walk into a Caterpillar dealership and tell them you want to buy a bulldozer. The salesperson won’t rely on buzzwords. Instead, they will ask detailed questions about your use case. Do you need a blade? A winch attachment? A 4-in-1 bucket? They know what the answers mean because they have operated heavy equipment themselves. They have driven the bulldozer. Now ask a few insurtech vendors detailed questions about insurance workflows, underwriting, or property data. Too often, the conversation becomes vague. The focus shifts to awards, titles, or slogans instead of practical understanding. Insurance is complex. Solving real insurance problems requires technology that is built with that complexity in mind. And that is where PING stands apart. PING is the only fully integrated extraction and analytics platform in the market, bringing together capabilities that insurers otherwise have to assemble piecemeal across multiple tools. The result is a platform designed to handle insurance data the way insurers actually work with it. Because the best technology solutions don’t just look good on paper; they are built by people who understand the job. People who have driven the bulldozer. Curious to learn more? Book a demo now: https://lnkd.in/gH_8iAVu
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When our clients talk about what makes PING different, it usually comes down to two things: deep industry expertise and technology that actually solves real problems. At PING, it’s not just our technology that makes the difference; it’s our team. Every member brings experience across specific areas of insurance, with years spent solving the challenges that keep teams up at night. Our founding team led at reinsurers and MGAs, giving them a firsthand view of the pain points our clients face. Those insights are baked into everything we do. Because our team has lived the challenges of insurance, we build technology that works for the people who use it, not the other way around. Experience the difference yourself. Book a demo and see why our clients say that we truly understand their business. https://lnkd.in/gH_8iAVu
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Struggling to manage exposure data at scale? You’re not alone. Join our very own Bill Granfield in an upcoming webinar on 04/29/2026 at 10 CT to discover how AI and PING’s universal taxonomy transform messy data into actionable insights. During the session, Bill will cover: 1. Why coding exposures at scale is so challenging 2. What happens when errors occur 3. How AI solutions simplify data management 4. Tips for evaluating AI vendors 5. How to measure success Stay tuned and reserve your spot here:
Using AI to Manage Exposure Data at Scale for CAT Modeling
www.linkedin.com
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If you missed InsTech’s Exponential Risk London 2026 last week, here are some key insights shared during two panel discussions featuring members of the PING team: Daria Mervis, Head of UK at PING, took part in ‘Innovative Technologies in a Changing Risk Environment’. The conversation explored how technology and data are reshaping the way our industry understands and manages risk. Scott Stafford, CTO at PING, joined the panel ‘Data Validation Technology: Are We Scaling Fast Enough?’, discussing the importance of validation at the point of submission, how machine learning solves legacy scaling issues, and how the industry’s data processing will change in the future. If we connected at the event and you’d like to continue the conversation or learn more about PING, feel free to get in touch or book a call with our team. 👉 https://lnkd.in/gH_8iAVu #ExponentialRisk26 #EXPR26
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We had a fantastic time attending InsTech Exponential Risk London 2026 last week. It was great to connect with professionals from across the insurance, catastrophe modeling and exposure management community, and to exchange ideas on how the industry is evolving as new risks and technologies reshape the landscape. A few themes from the conversations stood out: 1. Technology and data are continuing to transform how the industry understands and manages risk. From advanced analytics to new digital tools, there was strong discussion around how innovation can support better decision-making in an increasingly complex risk environment. 2. The importance of having high-quality data and validation came up repeatedly. As the volume and complexity of exposure data grow, ensuring accuracy at the point of submission is becoming critical to scaling processes effectively and enabling more reliable modeling and analysis. 3. There was a lot of focus on how the industry’s data processing and workflows may evolve in the years ahead. Machine learning and automation are playing a growing role in helping organisations address legacy scaling challenges and manage ever-larger datasets. Events like this are always a great reminder of how collaborative the industry is when it comes to tackling shared challenges. And, of course, there was even time for a quick game of ping-pong on the sidelines! #ExponentialRisk26 #EXPR26
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Excited to share a new partnership announcement. Eirion Risk Underwriters has chosen PING to support its property underwriting team with faster, cleaner, and more reliable submission data. Combining our AI-driven platform with Eirion’s specialist expertise across commercial property, builders’ risk, terrorism, and more will enable the Eirion team to automate data structuring, standardization, and modeling file preparation, while retaining human review for accuracy where it matters most. The result? A smoother workflow, sharper risk insights, and better outcomes for brokers and insureds alike. A big thank-you to all at Eirion for trusting us with their data processes. We’re excited about what we can build together next in the property insurance space. https://lnkd.in/eQHncV2M
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With PING’s web-based CAT modeling, underwriters can run rapid, accurate catastrophe models directly within their workflow, as fast as the models themselves run. No more back-and-forth with CAT modelers testing different terms. Adjust exposure data and policy terms in seconds. Generate acc/loc CSV files or trigger fully automated cloud-based modeling. Receive both raw and formatted results with zero human intervention. All seamlessly integrated with industry-favorite CAT tools. Replace hours or days of manual delays with instant insight and move commercial property decisions forward with confidence. Curious to learn more? Book a demo: https://lnkd.in/gH_8iAVu
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