The Department of Commerce, FirstNet – Program Offices have a requirement for Data Verification and Validation Link Analysis Software Platform – Artificial Intelligence (AI) Solutions for Network Performance Analytics and Data Validation.

The FirstNet Authority was established under the Middle-Class Tax Relief and Job Creation Act of 2012 to deploy and operate a nationwide, interoperable broadband network dedicated to public safety. The FirstNet Authority’s Network Program Management Office (NPM) currently relies on manual review by Subject Matter Experts (SMEs) to verify and validate contractor-submitted information. While this “best effort” sampling approach provides valuable oversight, it cannot ensure complete accuracy or data integrity. The process is challenged by the absence of standardized validation criteria, inconsistent data formats, and a lack of automated tools. Data relevant to the NPSBN is distributed across multiple platforms—including secure file transfer systems, SharePoint, OneDrive, and email—and exists in both structured and unstructured formats. These limitations hinder the Authority’s ability to meet performance goals, comply with Inspector General (IG) or audit findings, and maintain high standards of data accuracy.

To address these challenges and advance its mission of deploying and operating a nationwide, interoperable broadband network for public safety, the FirstNet Authority seeks solutions that shall:

• Support centralized, scalable, and efficient data validation and verification, enabling data driven decision-making, improved oversight of contractor obligations, and alignment with regulatory and audit standards.
• Predict performance trends and identify network impairments.
• Benchmark network quality against commercial carriers. ? Integrate and analyze geospatial datasets (e.g., FCC coverage maps, GIS layers).
• Ensure compliance with privacy, cybersecurity, and audit requirements.

• Data Ingestion, Validation, and Quality Assurance
• Data Analytics for NPSBN Network Performance
• Predictive Modeling and AI-Driven Insights
• Platform Capabilities and User Experience
• Data Strategy, Visualization, and Decision Support
• AI/ML Transition
• System Performance Characteristics
• Data Rights and Ownership
• Risk and Change Management
• Security, Privacy, Regulatory Compliance
• Platform & Implementation Support
• Tasks, Deliverables, and Reporting