USCG SFLC Maintenance Data Readiness and Analysis for Enhanced Reliability Centered Maintenance
Past New Requirement Updated
- Agency
-
Coast Guard
Department of Homeland Security
- Solicitation expected
- Estimated value
- $5,000,000 to $10,000,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- Through
- NAICS code
- 541511 Custom Computer Programming Services
- Place of performance
- Baltimore, MD
- Forecast number
- F2025071384
- Points of contact
Forecast details come from DHS's Acquisition Planning Forecast System. Agencies' dates and values are estimates.
About this forecast
The U.S. Coast Guard Surface Forces Logistics Center is procuring an Enhanced Reliability Centered Maintenance program using natural language processing and artificial intelligence to analyze unstructured equipment failure reports and technical data spanning at least the previous five years, with solicitation release on June 29, 2026, and award anticipated August 1, 2026. The solution must include a pre-trained AI model specialized in Naval ship structure and machinery terminology deployed in a FedRAMP-approved environment, with capability to identify, extract, index, and enhance maintenance data quality; the contract will also fund piloting new automation prototypes and digitalization tools to support data-driven decision making across Naval operations.
The estimated contract value ranges from $5 million to $10 million under a Firm Fixed Price agreement, with performance extending from August 1, 2026, through July 31, 2031. Work will be performed in Baltimore, Maryland. Jonathan Cox, Data & Information Program Manager, handles requirements inquiries at jonathan.w.cox2@uscg.mil or (571) 614-5494; Courtney Brown, Contracting Officer, handles contractual questions at courtney.j.brown@uscg.mil or (571) 610-6922.
Forecast text
The U.S. Coast Guard (USCG) Surface Forces Logistics Center (SFLC) seeks an Enhanced Reliability Centered Maintenance (E-RCM) program through the implementation of Natural Language Processing tools include an Artificial Intelligence powered analytic model. This model shall be pre-trained on Naval ship structure and machinery terminology to identify, extract, index, enhance quality, and analyze unstructured equipment failure reports and technical data from at least the last 5 years. The model shall be currently utilized to analyze Naval Ship equipment and deployed in a FEDRAMP approved environment. This requirement will also include piloting new automations or prototypes for digitalization use cases. These may include, but are not limited to, tools to promote data driven decision making, data-driven analysis, extracting additional data elements from maintenance documents, more extensive application of natural language processing / large language models, chatbots, developing new automations (RPA or intelligent automation), etc.
On GovTribe
Work this forecast
- Track it in your pipeline
- Find teaming partners
- Similar forecasts
- Ask GovTribe AI about this forecast