Cloud-Based Platform for Screening System Data Sharing Consortium
Overview
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SUMMARY
DESCRIPTION
This sources sought request concerns the development of a secure cloud-based platform to support a screening system data sharing consortium in Washington, District of Columbia. The platform is intended to enable the ingestion, storage, curation, protection, and secure access of large volumes of screening system data used for the training and testing of automatic threat detection software.
The requested capabilities include migration support, data management, indexing and access, collaboration features, audit and compliance functions, and technical and continuous improvement services. The scope also references payment and accounting capabilities associated with the platform. Overall, the requirement is focused on establishing a secure, scalable environment for controlled data sharing and operational support.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due August 18, 2026.
- Who is a good fit for this opportunity?
- Cloud platform provider with secure data hosting and management expertise
- Experience supporting large-scale data ingestion, storage, indexing, and controlled access
- Background in AI or machine learning data environments, especially for training and testing workflows
- Capability in audit, compliance, and data protection for sensitive or regulated datasets
- Team able to provide migration, technical support, and continuous platform improvement
- Prior federal or public-sector experience with secure consortium or multi-party data-sharing platforms
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.