Data Analytics and Threat
Logic
Using real data from training, past races, social media post and anything from coaches we create projections and analytics for specific
athletes. In simple terms. Lets say "Joe" is running in WS. I find every race Joe has run in the last two years and upload his data into AI agent tools.
I also upload every training session except on days i am lazy. I do this for the top 10 runners in that same race except those that have no Strave in
which case i use race data and anything else we can find.
Why
The athletes selected are best in class both as humans and as athletes. We love people who are pushing beyond word and doing their best to
exceed the expectations of God.
Subjective vs Data Drive
We do not add any subjective information to our AI tools. All information it spits out is data drive and logic of Data. Nothing else.
Yes, our AI tool and back end is getting wicked smart. (Note, AI picks the top ten which changes often as we feed AI data)
What are we
We make racing projections as well as analytics for Ultra professionals athletes. Some of our work is threat related and some is data analytics or both.
Ingest
We collect large amounts of data either from applications like Strava or race data as well as any social media post and upload into our custom made AI agent tool set. This includes video analytics.
AI Tools
Our tools seldom use anything found on the Internet as a source of data.
Most of our data is from direct load sources.
Storage
Our AI tools store all the data we upload regardless if daily training logs / Strava post or image / social media. We also store and upload all race data and results including GPX and weather information.
Goals
Our primary goal is to use our AI tools to help teams and individual athletes know how well they are doing and how well they will do in an upcoming race.
Threat
This is one of our primary models.