Falkonry wins USAF Phase II SBIR contract

Sunnyvale, CA-based Falkonry, Inc. announced on August 28 that it has been awarded the next phase AFWERX Small Business Innovation Research (SBIR) contract from the US Air Force Research Laboratory (AFRL).

This award follows the completion of a successful Phase I evaluation of Falkonry’s machine learning system, Falkonry LRS. During Phase I, Falkonry explored critical operational data problems within the Air Force community and was selected by STRATCOM’s Joint Warfare Analysis Center (JWAC) to go forward into Phase II. Falkonry’s AI-enabled product will now enable JWAC to analyze massive amounts of operational data and discover patterns at unprecedented scale and provide real-time inferencing.

To provide the highest level of security for government requirements, Falkonry has developed an “Air Gap” version of Falkonry LRS. Air gap is a network security measure employed on one or more computers to ensure that a secure computer network is physically isolated from unsecured networks, such as the public Internet or an unsecured local area network. Falkonry LRS integrates within existing Department of Defense (DoD) analysis platforms and can be securely deployed in both classified and unclassified environments. This, along with the fact that Falkonry LRS can be used by non-data scientists, has enabled Falkonry to obtain sole source justification for military contracts and greatly reduces the administrative burden for procurement.

“Because of sole source justification, Falkonry can now receive contracts from any military branch without having to go through a full selection and qualification process with other companies,” said Dr. Nikunj Mehta, founder and CEO of Falkonry. “This sole source justification ensures that any military customer that wants to use predictive operations technology can do so in a much shorter timeframe than was previously possible, and will in turn, obtain quicker results.”

“For defense and intelligence applications, predictive operations technology must be easily deployable, scalable, highly secure and handle the massive amounts of operational data generated,” said Laura Stuart, R & D project manager at JWAC. “By uniquely meeting these requirements, Falkonry LRS allows us to leverage powerful AI-enabled technology without having to hire data scientists.”

Source: Falkonry