Law Enforcement Systems and Analysis (LESA) Data Quality Improvement (DQI) Support Services
Past New Requirement Updated
- Agency
-
Immigration and Customs Enforcement
Department of Homeland Security
- Solicitation expected
- Estimated value
- $20,000,000 to $50,000,000
- Set-aside
- Competitive 8(a)
Forecast facts
- Anticipated award
- Through
- NAICS code
- 561499 All Other Business Support Services
- Place of performance
- Washington, DC
- Forecast number
- F2026074122
- Points of contact
Forecast details come from DHS's Acquisition Planning Forecast System. Agencies' dates and values are estimates.
About this forecast
Immigration and Customs Enforcement is releasing a competitive 8(a) solicitation for Law Enforcement Systems and Analysis (LESA) Data Quality Improvement (DQI) Support Services on July 13, 2026, with award anticipated July 31, 2026. The contractor will provide technical, analytical, and advisory services to identify, resolve, and monitor data quality issues across the Enforcement Integrated Database (EID), EAGLE, EARM, and related systems; enhance business processes and workflows; deliver user training and facilitate knowledge transfer; and develop AI and automation solutions to support ongoing data quality management. This one-time comprehensive initiative will address current data quality concerns, document best practices, and leverage cleaned and annotated data to train and validate AI-powered tools for error detection and prevention, with all work adhering to DHS privacy, security, and records management standards.
The estimated award value ranges from $20 million to $50 million on a firm fixed-price contract with a period of performance from July 31, 2026, through July 30, 2028. Work is performed in Washington, DC. Isaac Raymondi, requirements contact at isaac.raymondi@ice.dhs.gov or (771) 200-7039, can provide additional information.
Forecast text
ICE is launching a one-time, comprehensive initiative to improve data quality and management across the Enforcement Integrated Database (EID), EAGLE, EARM, and related systems. The effort will address current data quality concerns, document best practices, and leverage cleaned and annotated data to train and validate AI-powered tools for error detection and prevention. All activities will adhere to DHS privacy, security, and records management standards. The contractor will provide technical, analytical, and advisory services to identify, resolve, and monitor data quality issues; enhance business processes and workflows; deliver user training and facilitate knowledge transfer; and develop AI and automation solutions to support ongoing data quality management and informed decision-making.
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