Neic AI/ML and data streaming develop

Closed Pre-Solicitation Posted

Solicitation number
140G0226Q0049
Agency
Responses due
Set-aside
No set-aside

Opportunity facts

Notice details come from SAM.gov. Updated .

About this opportunity

The U.S. Geological Survey (USGS) is conducting market research through a sources sought notice to identify qualified contractors for artificial intelligence and machine learning (AI/ML) enhancements to the National Earthquake Information Center's (NEIC) real-time seismic data streaming and detection systems, with responses due by July 24, 2026 at 2:30 p.m. MST.

The NEIC operates near-real-time detection algorithms on streamed seismic data to improve timeliness and accuracy of earthquake information products. Current systems integrate AI-driven and standard algorithms with continuous seismic data acquisition, rapid data distribution, data analysis, quality assurance, and system health monitoring. The government seeks to modernize and implement detection algorithms and AI/ML approaches developed by seismic researchers to perform continuously in 24/7 operational environments while meeting mission-critical requirements for timeliness and accuracy.

The five primary software development task areas are: develop and maintain real-time seismic data streaming and detection systems; modernize and optimize detection algorithms; integrate and advance AI/ML capabilities; build and integrate monitoring, archiving, and distribution systems; and support scientific research and innovation.

This is market research only and does not constitute a commitment or formal solicitation. Responses must be submitted via email to yvette_sornberger@ios.doi.gov. The procurement carries NAICS code 541511 (Custom Computer Programming Services) and PSC code DH10 (IT and Telecom — Platform as a Service).

Notice text

This Sources Sought Notice is being published for the purpose of conducting Market Research to obtain information regarding the availability and capability of all qualified sources to perform a potential requirement. This is not a solicitation.

The NEIC operates near-real-time detection algorithms on various types of streamed seismic data to improve the timeliness and accuracy of derived earthquake information products. The rapid detection algorithms are a mix of AI-driven algorithms and standard (non-AI driven) algorithms. These operational systems heavily integrate with each other to enhance derived scientific data products, with continuous seismic data acquisition systems, rapid data distribution systems, data analysis systems, data quality tools, and overall system health and monitoring systems.
Additionally, with the rapid advancements of AI technologies and approaches, these detection algorithms and along with new approaches developed by seismic researchers need to be improved, modernized, and implemented to perform on continuous seismic data in 24/7 operational environments to address NEIC¿s mission critical requirements of timeliness and accuracy.
NEIC Software needs focused on artificial intelligence/machine learning (AI/ML) enhancements for real-time, continuous, seismic data streams and detections and algorithmic monitoring include the following software development tasks:
1. Develop and Maintain Real-Time Seismic Data Streaming and Detection Systems
2. Modernize and Optimize Detection Algorithms
3. Integrate and Advance AI/ML Capabilities
4. Build and Integrate Monitoring, Archiving, and Distribution Systems
5. Support Scientific Research and Innovation
All responses must be submitted NLT 0724/2026 at 2:30pm MST via e-mail to: yvette_sornberger@ios.doi.gov.

This is NOT a Request for Quotation (RFQ), Request for Proposal (RFP), or Invitation for Bid (IFB) and does not constitute any commitment by the Government. Responses to this sources sought notice will be used by the Government to make appropriate acquisition decisions. All interested sources must respond to future solicitation announcements separately from responses to this market survey. Any solicitation that may be issued will be posted on the SAM/FBO website and no paper copies will be provided.

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