Company: SLDE
Filing Date: 2025-06-09
Form Type: S-1/A
Source: 0001193125-25-137410
Chunk: 154

Company: Slide Insurance Holdings, Inc.
Filing Date: 2025-06-09
Form: S-1/A
Chunk 154
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 choice for our agents. We launched Violet to a small number of agencies in September of 2023
and to all Florida agencies on January 29, 2024. In our first full month with Violet, we saw a total quote volume of over 89,000 quotes.

In addition to our independent agent distribution network, we are also focused on building out DTC distribution channel given the usefulness
of this channel in the long-term. Our current strategy is focused on low-cost customer acquisition through embedded relationships with mortgage bankers and building trade organizations, among other low-cost channels. As we continue to scale our operations, we anticipate that our DTC distribution will continue to scale and focus on accretive market opportunities. By combining our advanced technology and
superior underwriting expertise, we are able to focus our DTC on select geographies that produce outsized returns.

Technology

Our technology platform is at the center of everything we do and every decision we make, helping us win profitable business. Our technology
platform is built on a foundation of insurance principles which leverage Big Data and process automation. We have a proprietary $6 trillion TIV dataset which enables us to build superior artificial intelligence and machine learning tools to
streamline underwriting, claims and predictive analytics, which drive lower loss ratios by focusing risk selection on higher margin generating policies.

At the heart of our technology platform is our comprehensive, enterprise-wide data repository, which we have used to pioneer our prospective
underwriting model to assess individual policy profitability at the point-of-sale. Using this data repository, we have developed a proprietary predictive loss ratio
model to estimate loss costs for each risk. This allows us to estimate profitability on an individual policy level at the time of sale, enabling us to make decisions efficiently regarding risk selection. Our model also estimates forward-looking
reinsurance costs on a policy level basis at the point-of-sale. Our model dynamically adjusts the reinsurance cost as the amount at risk, concentration and other factors
change across the portfolio, enabling us to accurately predict reinsurance costs at the policy level.

We partner with an aerial imagery
provider which is incorporated into our technology platform. We use post-catastrophe aerial imagery and roof damage scores for all affected risks within 48 hours of an event along with our traditional overlaid storm track information, to triage our
catastrophe response and deploy our construction resources to mitigate the damage.

Automation is another key area of focus. We have
automated as many business processes as possible. For example, our claims team