SBIR/STTR Research Award

Pulse - Predictive User Analytics for Secure Environments

Award identifier cd824197a9e53b8bc6f39c4d0901c1669bf535ad0405fd6df7ee7ee1b0a5c407Awarding agency Department of Defense · Air Force

Award amount

$74,599

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
RISE8 INC
Proposal award date
2024-05-30
Contract end date
2024-08-30
UEI
FZG5H96FF1V4
Solicitation number
X24.5
Topic code
AFX245-PCSO2

Research abstract

In modern agile software development, the primary focus is on delivering value to users through iterative development cycles. High-performing organizations focus on reducing cycle times in order to learn the fastest and gain a competitive edge. Commercial organizations heavily invest in integrated analytics tooling which enables them to measure and predict behavior of all users within seconds of delivering a new software release. By drastically reducing the cycle time for learning about user behavior, it allows organizations to re-think their entire approach to development to become one centered around innovation - it allows for testing new ideas quickly to validate they deliver on intended outcomes. The criticality of using data to drive decisions is highlighted in “Play 12” of the US Digital Services Playbook. PROBLEM Even for the most agile organizations in the DoD, learning in this way with user analytics is not an option. The current array of offerings are geared toward commercial companies on the public internet - they either can’t be moved to a classified network and/or don’t meet the security requirements for doing so. This leaves even the most agile DoD organizations to rely on 1-on-1 user testing as the only means of getting feedback. The highest performing DoD software factories do user testing on the order of once a week. Even in that best-case scenario, having integrated analytics tooling would provide teams with data in seconds rather than a week, 600,000x faster than the current state! When you factor in applications that have hundreds or thousands of users across dozens of organizations, it’s impossible to understand user behavior without the use of analytics tools. Without this tooling, every product release becomes a gamble with unknown consequences to the mission. In addition to product teams, operational leadership is constantly looking for more visibility into the execution of day-to-day operations. The lack of data analytics in DoD software products is limiting what information can be gleaned to form a more holistic view of operations. Rise8’s Pulse will fill this mission critical gap, blending our knowledge of agile practices with secure application development to create an analytics tool package for DoD applications on classified networks. It will both measure current user behavior and leverage AI models to generate predictive analytics. Pulse will empower software teams to leverage data as a catalyst for innovation, collaboration and user-centricity in application development. It will additionally enable operational leadership to have greater visibility into mission data allowing for better command and control decision-making and assessment of operations.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

12 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $18,905,496. Reported amounts are not federal obligations.

Phases: Phase II – Direct to Phase II, Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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