Enterprise Open-Source Investigations Software Solution
Forecast New Requirement Updated
- Agency
-
Citizen and Immigration Services
Department of Homeland Security
- Solicitation expected
- Estimated value
- $50,000,000 to $100,000,000
- Set-aside
- HUBZone
Forecast facts
- Anticipated award
- Through
- NAICS code
- 541519 Other Computer Related Services
- Place of performance
- Camp Springs, MD
- Forecast number
- F2026074600
- Points of contact
Forecast details come from DHS's Acquisition Planning Forecast System. Agencies' dates and values are estimates.
About this forecast
US Citizenship and Immigration Services is procuring an enterprise-grade open-source investigations software solution as a total small business HUBZone set-aside through NASA SEWP V, with solicitation release targeted for December 15, 2026, and award expected April 1, 2027. The platform must collect, analyze, and visualize publicly available information in real time to support investigations, threat assessments, and situational awareness, with required capabilities including subject recognition, batch querying, a persistent misattribution environment for secure anonymous research, user-level account maintenance, and automated surfacing of derogatory information to reduce manual analyst review time.
The estimated award value ranges from $50 million to $100 million on a firm fixed-price contract with a five-year period of performance from April 1, 2027, through March 31, 2032. Work is performed at Camp Springs, Maryland. Xiomara Medrano (xiomara.l.medrano@uscis.dhs.gov, 240-243-5937) is the requirements contact, and Nicholas Barrett (nicholas.p.barrett@uscis.dhs.gov, 802-288-7967) is the contract specialist.
Forecast text
USCIS seeks an enterprise-grade open-source investigations research tool capable of collecting, analyzing, and visualizing publicly available information (PAI). The tool should enable authorized users to monitor, search, and extract relevant data from multiple publicly and commercially available sources in real time, supporting mission-critical investigations, threat assessments, and situational awareness. Additionally, the solution must reduce the amount of time analysts spend manually reviewing open-source content by automating the collection, analysis, and surfacing of derogatory information. The platform must provide a persistent misattribution environment to enable secure and anonymous research, user-level account maintenance and support, and a user-friendly interface. Finally, the solution should include integrated subject recognition capabilities, automated derogatory information surfacing, and the ability to perform batch querying for efficient processing of multiple subjects.
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