As we have been aided by the generosity of those looking to do good in this world, FLASH was happy to give back a little bit. The University of Georgia has been doing some wonderful things in the areas of research and broadcast meteorology as well as AI. One thing lacking for production type weather broadcasts was a software suite to produce graphics. FLASH was more than happy to fulfill three quarters of their needs for this much needed software and the kids have reached their goal in no time. 

As a result, the professors Dr John Knox and Dr. Marshall Shepherd (Wx Geeks show in weather channel, Forbes magazine contributor, etc) invited me to campus to discuss a partnership and have me guest lecture the meteorology classes which was super cool for me. 

FLASH has agreed to partner with UGA to engage in a mutually beneficial relationship where FLASH fosters the young minds for internships and possible future employment and UGA provides continued innovative infusion of the latest research and technologies from a top 20 institution in  the nation according to a recent publication. Truly a win win for all!! 

On August 29th 2021 during the NASCAR Wawa 250 Xfinity race, FLASH was tasked with 2 main areas of demonstration. One being the advance notice of lightning in the area and secondly the onset of precipitation at the track utilizing our patented AI and Machine Learning predictive tools. This request came from the DGM race team that operates the car for #92, Josh Williams. They had seen how advanced weather analytics could aid drivers in pit strategy and wanted to employ our technology to do the same. The team owner was nice enough to have our logo placed on the car as well and have team members of FLASH inside the Pit Box during the race to aid in strategy. The first validation came with the onset of rain during the Friday night race. Utilizing the technology in the image below we were able to provide a 20 minute lead time on a shower that impacted race operations. In fact, the remainder of the race was cancelled for that evening based on recommendations.

During the last rain delay in the pit area, the Flash team was surrounded by multiple drivers, pit crews, and car owners looking over our shoulders in anticipation to see when the rain may stop. At this time, one of the only nearby predictive strikes of the night within 5 miles of the track was displayed on our Flash lightning app and the Flash team asked everyone to step outside (a safe distance away) to witness the predictive lightning strike firsthand. At exactly the 16 minute mark, as predicted, a lightning strike occurred 3.5 miles to the East Northeast of the track. That is when the excitement became overwhelming and team members gave each high fives calling it witch magic we had just performed.  The strikes can be seen with as the yellow dots on the image below. 

We believe the team owner put it best to us in an email..."Thank you everyone for taking the time to share your technology and your passion with us.  There is definitely room for FLASH technology within this sector of sport"

52nd Fighter Wing out of Germany

Greetings FLASH Investors,

A major aspect that sets apart from any other company besides our lightning prediction is the fact that we do all of it with no sensors and no hardware on our end. Take a look at this video as we recreate in a few seconds what it takes 2000 sensors to do on a nationwide level. Lower cost for us means lower cost for our customer which means we can capture a much larger market share. All of this without even considering the predictive aspects. It is truly a win win for all sides and all because of the FLASH AI Engine.

This is a demo of the capabilities of a software only solution to predict lightning over the entire United States...

Below are 2 demo videos of the FLASH AI in action, first using FLASH AI to predict lightning and second using FLASH AI to predicting visibility conditions that could cause auto accidents.

Subscribe to the FLASH YouTube channel for more Demos: FLASH Technology

We wanted to let our investors and followers know that we've reached the $100k+ raised milestone in 2022. Thank you to all the repeat investors and the investors from the first round that made this possible. We're excited to provide updates as we get more MOUs and Letters of Support from customers we're onboarding and meet other major milestones.

If you missed the Investor Town Hall we hosted on Feb 10th, 2022, below is a link to the recording on YouTube: FLASH Investor Town Hall

We'd like to share 2 letters of support we've received from our customers...

StruckByLightning.org (largest lightning safety advocates in the US)

MYCAPTAIN.IO (Airbnb of Premier Charter Boat Scheduling)

Thank you to everyone who invested in the first & second CF rounds on StartEngine and those who have been following FLASH on StartEngine. In this update, we’d like to explain the ways FLASH is different from the other companies in our space and answer some of the questions that came up in the comments and from the investor town hall.

How is FLASH different from other companies in the space?

1. We predict the start and end of lightning. I want to lead with that because I feel like it is a very important point as we are the only AI weather intelligence company to do this. If any other company tries to claim otherwise, it is false and we have the patent to support our lightning prediction products. Those who claim lightning prediction are simply taking a storm at point A and moving it to point B. This is not prediction in our book, it is extrapolation and can be done by anyone halfway decent at math. Only FLASH can predict the first strike before a storm ever develops and likewise the cessation of lightning. We get compared to the others in this space often but I equate it to the first microwave ovens. They tried to compare them to conventional ovens which was just not a fair comparison. We have something new, cutting edge, and that no one else has.

2. We have a philosophical difference when it comes to improving forecasts. Some believe more data, more sensors, more hardware. We at FLASH believe the path to better forecasts is not more data, but utilizing the data we already have in more innovative ways. And no additional hardware needed by our solution. Software only. Our patented lightning products are using data that is 20 and in some cases 30 years old. The same data we have always had but injecting AI and Deep Learning to produce forecasts more accurate than has ever been seen. The answers have always been there in the existing data, you just have to look hard enough to find them.

3. Some companies out there are content with providing hyper localized forecasts of weather which is a great thing to focus on. Our focus is different though. We want big solutions to big problems. We aren't concerned with if the high temperature is 82 or 83 in Atlanta on Tuesday. We want to know how much ice the winter storm is going to produce and what it's impacts will be. Where will the hurricane make landfall and who will see the greatest impacts. And yes, when will that first bolt of lightning strike and which softball field will it be impacted.

What is your revenue prediction for 2022 and the next few years?

As to revenue and pricing models. With our current customers and low overhead being a software only solution, we anticipate being break even on with revenue by late summer. Projections beyond that for what we are doing are not as helpful, here is why. We are creating a new market. Before, a wildfire coordinator didn't care as much that lighting was detected in an area and caused a wildfire because there was nothing they could do about it. Now however, they could get 25 minutes notice on the first strike and that would be a game changer for wildfire mitigation and creates in essence a new market. The same can be said for aviation. They have always had to adhere to wait 30 minutes after the last rumble of thunder. FLASH says those days are over. Our pricing studies with a major airline says that if save them but 5 minutes of circling a runway, that equates to tens of millions per year in fuel savings per airline. If we take just a fraction of those savings, we will increase revenue rapidly. This is why we will be focused on enterprise and medium to large businesses initially as opposed to a consumer app. Just a handful of these will realize revenue in excess of 10 million annually quite easily but is difficult to project such large numbers.

What’s next for FLASH in terms of products and goals to measure success?

We are trying to save some of this for down the road, but since you asked, why not? We are going to revolutionize how people are warned of dangerous weather both in the US and globally. With our automated tornado warning product, we will be able to focus on a smaller warned area with increased lead time for residents. This will not only save lives but save money as well as we refrain from warning areas that have little chance of seeing severe weather. The same for hurricanes and winter storms. I cannot divulge too much here in our methods but it will change forever the way the public is alerted to adverse weather conditions. Most in the past have been afraid to address this monumental task, we at FLASH are not.

We look forward to keeping everyone up to date as FLASH onboards new customers, launches new products and hits relevant milestones.

Thanks again,

Jason Deese 

The FLASH town hall streamed live on Twitch Feb 10, 2022 and is available now on YouTube for anyone who missed it. The town hall contains the latest updates on FLASH and an idea of where we are are headed as a company. 

FLASH is excited to announce that lightning does indeed strike twice.  Waitlisters, wait no more. FLASH is once again accepting new investments!!!  Come join the weather revolution as Artificial Intelligence meets Big Data to change how we forecast.