This Government Contract opportunity from Department Of Defense was posted on August 17, 2020. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Algorithm-Derived Decision Support

Awarded

FA8650-19-S-6006Federal

Submission Closed08/14/2020, 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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AI Contract Overview

The Algorithm-Derived Decision Support (ADDS) Program is a Cost Plus Fixed Fee competitive award issued by the Department of Defense through the Air Force Research Laboratory. The program focuses on developing AI-driven sensemaking approaches applied to classified Intelligence Community crisis scenarios to automate the generation of written intelligence products, aiming to provide timely and relevant decision advantage. With an estimated program cost of 36,125,000 dollars and an anticipated five awards, the project falls under NAICS code 541715 for research and development and software delivery. The contract mandates rigorous security protocols, requiring a Top Secret facility clearance and the ability to handle National Intelligence Information, including SCI and Non-SCI, as well as NATO information. Performance is based in McLean, Virginia, and is governed by a detailed schedule including CLINs for basic research and software with optional performance periods. Contractors are required to adhere to strict data deliverable standards, providing scientific and technical reports and expenditure reports, while ensuring all subcontractor costs are analyzed for reasonableness and realism in accordance with federal acquisition regulations.

General Info

Agency

Department Of Defense → FA8650 USAF Afmc Afrl Pzl Afrl/pzl

Contract Value

$30,927

NAICS

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

Place of Performance

McLean, VA, 22102, USA

Set-Aside

NONE

Awardee

BOOZ ALLEN HAMILTON INC

Award Issued Date

08/14/2020, 12:00:00 AM UTC

Documents

Algorithm-Derived Decision Support (ADDS) BAA FA8650-19-S-6006

rfp

High

Contract Data Requirements List (CDRL) - FA8650-19

cdrl

High

DD Form 254 - Contract Security Classification Specification (FA8650-19-S-6006)

security-specification

High

Model Contract FA8650-19-R-6006

contract-document

High

Prime Contractor's Analysis of Subcontractor's Costs

specifications

High

Proposal Adequacy Checklist (Jan 2014)

proposal-checklist

High

Section K - Representations, Certifications, and Other Statements of Offerors (FA8650-19-R-6006)

representations-and-certifications

High

AI Contract Breakdown

Uniform Contract Format

Contract not broken down yet

CLEATUS splits the solicitation into Uniform Contract Format (UCF) sections: scope, pricing, deliverables, and evaluation criteria.

Timeline

4 updates

PhaseAwarded

PostedMar 22

Presolicitation

Type ChangedAug 28

Presolicitation → Combined Synopsis

Notice updatedAug 29

The notice description changed.

Notice updatedAug 30

The notice title changed.

Notice updatedOct 1

Notice details unchanged. Attachments may have changed.

Notice updatedOct 15

Notice details unchanged. Attachments may have changed.

Type ChangedAug 7

Combined Synopsis → Presolicitation

AwardedAug 14

Contract was awarded

Submission Closed

08/14/2020, 12:00:00 AM UTC

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Organization & Contact Information

AgencyDepartment Of Defense → FA8650 USAF Afmc Afrl Pzl Afrl/pzl

Contacts2 people available

OfficeWRIGHT PATTERSON AFB, OH, 45433-7541, USA

Organization / AgencyDepartment Of Defense → FA8650 USAF Afmc Afrl Pzl Afrl/pzl

Office AddressWRIGHT PATTERSON AFB, OH, 45433-7541, USA

Contacts

Joseph P. MizziContracting Officer

contact@example.gov

+1 (555) 000-0000

Marina SchemmelMs.

contact@example.gov

Full Description

Cost Plus Fixed Fee Competitive BAA award. The Algorithm-Derived Decision Support (ADDS) Program seeks to develop and judiciously apply sensemaking approaches to established, classified IC crisis scenarios to demonstrate the potential for machine-generated written intelligence products capable of providing timely and relevant decision advantage.