This Solicitation opportunity from Washington was posted on August 22, 2024. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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The Nexus of AI, Energy, and Critical Minerals Demand: Strategies for advan

Closed

24-0822JMCState & Local

Submission Closed01/20/2025, 12:00:00 AM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541715

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Solicitation # N00173-27-Q-1301415032

The Naval Research Laboratory intends to award a sole source purchase order to AlphaMicron Inc, located in Kent, Ohio, for the procurement of screen materials in the company's clean room. This action is identified by notice number N00173-27-Q-1301415032 and is classified under NAICS code 541715 with a product service code of 3694. The acquisition will be conducted using Simplified Acquisition Procedures in accordance with FAR Part 13.106-1(b), as the purchase is expected to be below the simplified acquisition threshold of 250,000 dollars. This notice serves as an intent to award and is not a solicitation for competitive proposals. Interested parties wishing to demonstrate that competition would be advantageous to the government must respond to the primary point of contact, Marche Hampton, within two calendar days of the publication date. The government maintains sole discretion in determining whether to proceed with a competitive procurement based on any received capability information.

Naval Research Laboratory

POSTED

DEADLINE

Machine Learning & Predictive Analytics EngineeringThis subcontract, titled Machine Learning and Predictive Analytics Engineering, is issued by the Naval Air Systems Command under the Department of Defense. The project focuses on the development and deployment of production-ready machine learning algorithms to support prime contractors on F-35 Joint Program Office projects. Key objectives include creating solutions for supply-chain optimization, readiness forecasting, and predictive maintenance, utilizing ML engineering pipelines within AWS and Azure GovCloud architectures. The scope of work involves managing CI/CD/CT pipelines and delivering validated source code and predictive models. Due to the nature of the work, an active Top Secret clearance is required. The performance location for this contract is Arlington, Virginia, with a response deadline set for November 10, 2026.

Naval Air Systems Command

POSTED

1 day ago

DEADLINE

in 13 days

General Info

Agency

Washington State University

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

WA, USA

Set-Aside

NONE

Documents

Exhibit A - Certifications & Assurances for Proposal Submission

2 pages · certifications-and-assurances

High

RFP 24-0822JMC Exhibit A.1 Contractor Information Form

rfp

High

RFP 24-0822JMC Exhibit B Certifications and Assurances

certifications-and-assurances

High

WSU RFP 24-0822JMC AI, Energy, and Critical Minerals Demand Analysis

rfp

High

WSU RFP 24-0822JMC Executive Search Firm Dean CAHNRS

rfp

High

WSU Sample Contract SPC00XXXX

contract-document

High

Exhibit B- Contractor Information for Solicitation WSU

1 page · contractor-information

Low

AI Contract Breakdown

Uniform Contract Format

Timeline

1 update

PhaseClosed

PostedAug 22

Solicitation

Notice updatedAug 22

Response deadline changed from Sep 23, 2024 to Jan 20, 2025. The notice title changed. NAICS code changed from 561312 to 541715. The notice description changed. The point of contact changed.

Response DeadlineJan 20

Deadline has passed

Submission Closed

01/20/2025, 12:00:00 AM UTC

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Organization & Contact Information

AgencyWashington State University

Contacts1 person available

OfficeN/A

Organization / AgencyWashington State University

Office AddressN/A

Contacts

Desiree Urban

contact@example.gov

+1 (555) 000-0000

Full Description

Washington State University is seeking proposals from firms capable of generating a 2-part report that would analyze the impact of AI on the power sector and the state’s sustainability goals, and the role that AI and related demand are having on critical minerals supply chains.