Machine Learning Inflow Forecasts
Closed Pre-Solicitation Posted
This opportunity was awarded. See the award notice from .
- Solicitation number
- 140R4025Q0011
- Agency
- Bureau of Reclamation Department of the Interior
- Responses due
- Set-aside
- No set-aside
Opportunity facts
- NAICS code
- 541690 Other Scientific and Technical Consulting Services
- Points of contact
-
- Brittney Murphy bmurphy@usbr.gov (801) 524-3834
Notice details come from SAM.gov. Updated .
About this opportunity
The Department of the Interior's Bureau of Reclamation is seeking machine learning services for inflow forecasts through a potential sole-source contract with Upstream Tech. The procurement focuses on leveraging Hydroforecast technology and data from the Streamflow Forecast Rodeo Prize Competition. Interested parties must submit capability statements to Contract Specialist Brittney Murphy by December 17, 2024, at 10:00 AM Mountain Standard Time, with mandatory registration in SAM.gov and possession of valid UEI ID, CAGE Code, and Tax ID numbers. The contract will be awarded under NAICS category 541690 for Other Scientific and Technical Consulting Services, specifically targeting advanced scientific research and development in natural resource forecasting. While specific evaluation criteria are not explicitly detailed, the notice suggests technical capability and proprietary technology ownership will be key considerations.
The contract is not set aside for any specific socioeconomic group and will be a firm-fixed-price agreement. The projected performance period runs from February 10, 2025, to February 9, 2028, spanning three years. Upstream Tech, located in Alameda, California, appears to be the intended sole-source contractor due to their unique ownership of Hydroforecast technology. The small business size standard for this NAICS code is $19 Million, which provides context for potential bidder qualifications. While specific contract value is not disclosed, the procurement falls under the scientific and technical consulting services category, which typically involves significant technical expertise and potentially substantial investment. The PSC category AH32 for Natural Resources and Environment R&D Services further underscores the specialized nature of this procurement.
Notice text
Machine Learning Inflow Forecasts
Attachments
| File | Type | Posted |
|---|---|---|
| Notice_of_Intent_to_Sole_Source_1.docx | DOCX document |
Notice history
| Notice | Type | Posted |
|---|---|---|
| Machine learning inflow forecasts | Limited / Sole Source Justification | |
| Machine learning inflow forecasts | Award Notice | |
| Machine Learning Inflow Forecasts | Pre-Solicitation |
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