Using data and applying AI/ML to increase decision makers' time and bandwidth, decrease complexity, increase situational awareness and decrease human decision making biases.

Idea to field quickly. Our pace is grounded in a sustainable, iterative process that uses the lessons learned from past and ongoing projects. 

Each project must: make the customer more effective; have concrete, measurable, and achievable goals; address a specific need or needs; and result in the transition of technology into a product. 

AI’s potential to scale is a major component of its value proposition; one-off solutions cannot have high customer impact. We will avoid the one-off AI project that relies on unique, proprietary, and non-scalable resources.  

The utility of the AI we develop is proportional to the accessibility of high-quality data. We will develop software that pre-processes the data gathered from sensors into formats that can be readily queried and/or reprocessed.

AI requires the right software and the right data in a suitably designed computing environment. We will enable obtaining access to appropriate developmental environments and develop or establish hardware and software sandboxes to enable a “field to learn” approach to AI deployment.