The Stabilitas platform closes the intelligence gap by combining more than 15,000 vetted data sources with proprietary machine learning to accelerate our understanding of what’s happening in the world.
The Stabilitas platform combines more than 15,000 thousand vetted data sources with proprietary machine learning to accelerate our understanding of what’s happening in the world.
The Stabilitas Platform:
How did we get here?
While I served in the military, we didn’t have a good data repository to understand what was happening. Potential threats, from roadside bombs to insurgent activity, were identified but there wasn’t a fast or scalable way to collect and share the data. We didn’t have a source of ground truth. I could see opportunity to change the communication playing field using the tools we already had. Every communication channel available to us from calls, emails, texts, group chats to word-of-mouth became our sources of sharing information. My co-founder, Chris Hurst, shared similar challenges during his service, and together we now share a common goal of changing the landscape of critical event.
Despite the proliferation of technology, data sources and communication options, today, operations and security teams have many of the same difficulties as we did then, and more.
There are dozens of things going wrong every day and it’s impossible for a human to monitor the location of all of your assets and critical events that are going on at the same time. The expansion of a mobile workforce, real-time supply chain and 24x7 operations requires constant attention.
You might wonder, why is it hard to find an event out there with all the data that's available? Around 80% of the data in the world is unstructured and keeps growing exponentially. Social media, one of the most common sources, is one of the fastest streams of information when an event happens but it’s filled with inaccuracies and is situationally subjective. It requires context and processing to understand it.
Stabilitas takes both structured and unstructured information from critical events, giving you the intelligence to know what’s happening and how it relates to your operations and people. together a correlated view, puts it together into an event, and gives you a way to take action with it so you can keep your people and operations safe.
1. Critical event detection: Monitoring tens of thousands sources to identify events that could impact your operations. We geolocate where the event happened so we know how it correlates to other things relevant to your business at a global scale.
2. Asset tracking: knowing where both your private and public assets are to tell you when things are at risk.
3. Intelligence: once we know that your assets are in a particular location, we use that information to tell you how your supply chain, facilities, and people may be potentially be impacted.
Learn more by contacting the Stabilitas Team
When we bring in the data sources, Stabilitas cleans and filters the sources with something called Usefulness. Reducing the Signal-to-Noise Ratio (SNR), which means filtering out noise and keeping what is good useful data.
This way we provide with results faster with greater clarity.
The Stabilitas Platform runs machine learning algorithms and uses a binary filter to indicate what is irrelevant. We remove the extraneous or unrelated data to reduce the amount of data that we're processing for faster results that are accurate and relevant to the critical event.
Next, we geoparse the information. The Stabilitas platform reads the results, identifies the location of the event, attaching a category and severity to it. We focus on the people, places, and things that are mentioned and cluster them into a single event report. Since we are able to analyze and put all the data inputs from so many different sources together, we run voting algorithms to narrow the specifics about the location. Through the voting we remove location data that is not relevant to the event itself.
Ultimately, Stabilitas provides our clients with a summary that’s easy to understand.
Dependency parsing is when a machine reads provided text content and builds a map of the grammatical structure of the document. Stabilitas does that by marking and labeling all the different types of grammar in a document associated with an event.
This allows us to look for a particular verb, event, or look to see if there’s a location that's of interest and know that there's a dependency between those things.
If three to four humans can’t agree about the specifics of what someone said based on what they individually heard, it’s not possible for a computer to be successful with subjective language either. At Stabilitas, we use non-ambiguous definitions for doing category and severity. We need definitions that are consistent in what mean and describe events the exact same way.
Stabilitas relies on categories that have been designed by the WHO, the UN, the CC and a few other organizations. These have been mutually agreed upon to track disasters that are happening around the world and organizations can do long-term reporting.
There are three vectors:
1. Amount: how much damage occurred? Was there a lot or a little damage?
2. Place and time: is the event done or ongoing? Is it something that’s happening in the future?
3. Point location: what’s the geographical impact?
The Stabilitas platform will improve your ability to monitor and detect critical events that are happening on a daily basis and how they impact your business.
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