When we set out to build HazardHub, we had three main goals in mind.
The first goal was to develop the best, most comprehensive property risk data available. Check!
The second was to make our data really easy to work with by making it visible. It’s why we have tools like Distance to Coast, Distance to Fire Station and Distance to the Nearest Fire Hydrantall available on our website. Unlike other providers of hazard data, we don’t hide – we put it out there for the world to see. It’s also why we let people try our API for free – we want users to love our data before ever committing to it.
The third – and most important – is that we want HazardHub to be a really easy company to work with.
So I’m looking to shop my homeowner, auto and umbrella policies…and the process for doing so is – frankly – frustratingly horrible. Each site has a super-detailed form that wants the same exact data you’ve typed into every other form on other websites. It maddening, mostly because it’s almost completely unnecessary.
This should be a relatively fast process, driven by SSN and address – which is how almost all of this data is stored.
One of the reasons is because the data industry has pounded insurance carriers into cost avoidance by charging a lot of $$ for every single inquiry – if you want to know the risk, you have to pay. At HazardHub, we think this is silly – #carriers can get our data and only pay us when they bind –
SAN DIEGO, CA – HazardHub, the nation’s fastest-growing supplier of geospatial risk data, has announced that geospatial veteran Josef Litchfield has joined the company as Chief Data Officer.
Brady Foust, Chief Scientist of HazardHub, says “in order to expand HazardHub’s science and point data, we needed someone who is skilled at geospatial data acquisition. We’re bursting at the seams with ideas about improving hazard data. Joe’s experience, expertise, and skill with geospatial data is a welcome addition to the HazardHub team. “
Joe adds “I am incredibly excited to join HazardHub. They are far and away the most innovative and aggressive company in the geospatial hazard data market. I’ve been impressed with what HazardHub has been able to accomplish in the last year and look forward to accelerating HazardHub’s fantastic growth. My goal is to make HazardHub’s complex geospatial risk data easy to consume,
The three most famous houses for risk exposure are the one made of straw, the one made of sticks, and the one made of bricks. Occupied by our friends, the three little pigs.
These three houses face extreme local straight-line wind exposure courtesy of the Big Bad Wolf. The key lesson taught by this fable is that the better prepared you are for risk exposure, the more likely it is that you’ll come out on the bright side after the risk has passed. Unfortunately, we see it every day that some children and many adults did not heed this moral.
While HazardHub does not provide Wolf Based Wind Scores (WolfHubTM) we DO provide risk scores on just about every other bad thing that can happen to your home or business. We are strong believers in the power of mitigation.
We’ve been hearing a LOT about Storm Surge and the devastating impact of surge for both Hurricanes Harvey and Irma.
While we won’t know the damages from either hurricane for awhile (although the damages of both storms are estimated in the tens of billions), we can help to answer one question – how can communities, insurers, and individuals be better prepared for the risk from storm surge?
The key step is to be aware. Knowing the risk of storm surge for a specific property – and mitigating those risks while the weather is good – can go a long way to making sure your property minimizes storm surge damages.
Storm surge models have improved drastically over the last several years, as topographical maps and satellite imagery have improved. Our SurgeMax model is one of the newest,