INA Solutions awarded DHS USCIS OCDO Advanced Analytics Data Science Support (AADSS) 2 Recompete

A strategic contract award for this 8(a) small business founded in 2011 to serve commercial and government agencies requiring advanced information technology solutions towards solving sophisticated and complex business processes and problems.

Awardee Name: INA SOLUTIONS INC.
Unique Entity ID: T4M9RTKST2H9
Total Contract Value: $2,961,587.34
Action Obligation: $732,846.09
Department Name: HOMELAND SECURITY, DEPARTMENT OF
Funding Agency: U.S. CITIZENSHIP AND IMMIGRATION SERVICES
Number of Bidders: 1
Award ID: 70SBUR25C00000002
RFP ID: 70SBUR25Q00000005
Set Aside Used: 8(a) Sole Source
NAICS: 541519
Award Type: Definitive Contract
Start Date: 2024-11-16
Ultimate Completion Date: 2026-11-15

The contractor will support the Office of the Chief Data Officer (OCDO), which operates within the Office of Performance and Quality (OPQ). Together, these offices aim to enhance the agency’s data capabilities and develop analytical solutions to address inter-organizational challenges. The mission of the USCIS Chief Data Officer (CDO) is to ensure the timely delivery of high-quality data to internal and external stakeholders, supporting the agency’s overall mission. The OCDO aligns with the OPQ’s objective of providing relevant, accurate, and data-driven analyses that enable USCIS to make informed, data-driven decisions at both strategic and operational levels.

The Advanced Analytics Data Science Support (AADSS) contract seeks to advance the use of cutting-edge analytics and supportive technologies by leveraging established data science and engineering techniques. This initiative focuses on enhancing the following capabilities:

• Applied graph data analysis
• Entity resolution (e.g., individuals, organizations, and data entities) using machine learning, artificial intelligence, and other models
• Graph visualization and interactive functionalities
• Feature generation for models-on-models approaches using graph data
• Development of automated data science engineering solutions
• Integration of data governance into automated CI/CD pipelines
• Implementation of models and algorithms that process snapshots and continuous data streams to connect disparate systems
• Best practices for operationalization

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