The objective of the Test and Evaluation Services Blanket Purchase Agreement (T&E BPA) is to meet the DoDs requirements for test technology and tools for a variety of Artificial Intelligence (AI) and autonomy applications. This contract is open for ordering to all agencies of the USG in support of AI T&E.

<h2>Background</h2>
<p>The objective of the Test and Evaluation Services Blanket Purchase Agreement (T&amp;E BPA) is to meet the DoD’s requirements for test technology and tools for a variety of Artificial Intelligence (AI) and autonomy applications. This contract is open for ordering to all agencies of the USG in support of AI T&amp;E.</p>
<p>Working in partnership with the prime contractors, CDAO manages the contracts, in coordination with Army Contracting Command – Rock Island (ACC-RI). Through the use of the T&amp;E BPA, users have a flexible means of supporting their commercial AI T&amp;E needs quickly, efficiently, and cost-effectively. Orders may be placed by any contracting officer from the aforementioned agencies. There is no fee to place orders against the T&amp;E BPA.</p>
<h2>Scope</h2>
<p>The T&amp;E BPA encompasses a full range of AI T&amp;E services under NAICS 541511 - Custom Computer Programming Services and PSC R423 – Support Professional: Intelligence. Services will be acquired by issuing individual Call Orders (COs).</p>
<p>Contract Line Item Numbers (CLINs) cover the following services:</p>
<ul>
          <li>Acquisition of commercial AI tools and services</li>
          <li>Development of new AI tools and services</li>
          <li>Integration of AI tools and services into environments</li>
          <li>Operation and support of AI tools and services</li>
          <li>Use of AI tools and services to conduct AI testing on AI models and software</li>
          </ul>
<h2>Helpful Links</h2>
<p><a href="https://storage.tradewindai.com/pdfs/TE-BPA_Current-Points-Of-Contact_Fillable_10-23.pdf">Current Points of Contact - Fillable PDF</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/T_E_-One-Page.pdf">T&amp;E Slick Sheet - PDF</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/CDAO-TE-Ordering-Guide.pdf">Ordering Guide</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/TE-Vehicle-Partners_10-23.xlsx">Vehicle Partners</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/TE-LCAT-Table_4DEC2020_10-23.xlsx">Labor Categories</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/Attachment-0001-TE-BPA-PWS_10-23.pdf">PWS</a></p>

Test and Evaluation Services Blanket Purchase Agreement (BPA)

The Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC) , now CDAO was established in 2018 to be the focal point of the DoD Artificial Intelligence (AI) Strategy to accelerate scaling AI and its impact across the Department. Working closely with the Services, Combatant Commands, and other Components, CDAO helps identify...

<h2>Background</h2>
<p>The Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC) , now CDAO was established in 2018 to be the focal point of the DoD Artificial Intelligence (AI) Strategy to accelerate scaling AI and its impact across the Department. Working closely with the Services, Combatant Commands, and other Components, CDAO helps identify appropriate use cases for AI across DoD, develops capabilities, and scales impact across our enterprise with the goal of transforming the DoD through AI.</p>
<p>We are committed to lowering the barriers to entry to this potential opportunity for non-traditional companies, especially those with limited or no prior experience working with the Federal Government or DoD. To support this, CDAO has released a set of guides on executing common steps required to work with the DoD in this capacity. Companies are encouraged to utilize these guides in responding to the DRAID Basic Ordering Agreement (BOA) and Task Orders if needed.</p>
<h2>Scope</h2>
<p>The scope of this PWS shall encompass all tasks needed to create, acquire, curate, prepare, manage, or secure data sets for use in DoD AI models and application development, testing, certification, and operation. Examples of such tasks include but are not exclusive to Extract Transform Load (ETL) and Data Engineering Development, Database Design and Development, Data Science Development, Data Analysis, Data collection and curation, and Project and Outreach Program Management. For the execution of DoD Task Orders, these activities shall be performed while maintaining appropriate security and ethical considerations, including Federal and DoD regulations governing cyber security, information security, operational security, ethical standards of conduct, conflicts of interest, and AI Ethical Principles.<br />
      Capabilities and services to be procured under this PWS include:</p>
<ul>
      <li>Project and Program Management</li>
      <li>Data Science</li>
      <li>Data Engineering</li>
      <li>Data Architecture</li>
      <li>Data Acquisition and Curation</li>
      <li>Data Quality and Analysis</li>
      <li>Synthetic Data Generation and Data Anonymization</li>
      <li>Software Development, Modification, and Configuration</li>
      <li>Enterprise Information Management and Governance</li>
      <li>Cloud Integration and Alignment</li>
      </ul>
<h2>Helpful Links</h2>
<p><a href="https://storage.tradewindai.com/pdfs/DRAID-BOA_Current-Points-Of-Contact_Fillable_10-23.pdf">Current Points of Contact - Fillable PDF</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/DRAID_-One-Page.pdf">DRAID Slick Sheet - PDF</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/CDAO_DRAID-BOA_Ordering-Guide_Final_November-2022_10-23.pdf">Ordering Guide</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/DRAID-Vehicle-Partners_10-23.xlsx">Vehicle Partners</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/Attachment-0004-DRAID-BOA-PWS-Appendix-A-LCAT-Table_10-23.xlsx">Labor Categories</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/Attachment-0002-DRAID-BOA-PWS-21-April-2021-v2_10-23.pdf">PWS</a></p>

Data Readiness for Artificial Intelligence Development (DRAID) BOA

Bolstering A Future DoD AI Workforce with Critical AI Contract Support

Cognitive Engineer & Human Factors Engineer

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Identify support & CFTEs using the Call Order Request Form, and finalize requirements

Identify evaluation team, nominate Contracting Officer Representative, and proposal request is sent to BPA holders

Evaluations are completed within 1-2 days of receipt, call order is award- ed, and tactical kick-off occurs

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<p>The AI Talent Contract Support Basic Ordering Agreements (BOA) allows government agencies to rapidly and repeatedly onramp contractor talent needed to advise and assist the future AI ready DoD workforce.</p>
<p>AI Talent is a scarce commodity, and the Government must compete with large tech companies to obtain advisory and assistant support (A&amp;AS) contractor support. Many Department of Defense (DoD) offices struggle to define the right labor categories (LCAT) and work statement to acquire such resource. The CDAO will help DoD offices identify labor categories and specific roles, write work statements and performance metrics, and deliver support rapidly.</p>
<p>The DoD can advance its future AI-ready workforce by utilizing A&amp;AS Contractor talent with competitive rates, appropriate LCATS, minimal conflicts of interest, and rapid on-ramping<br /></p>
<h3>The current functions of DoD AI agencies include:</h3>
<p>1. Oversee the development of strategies to reduce technology and non-technology barriers to AI adoption</p>
<p>2. Ensure warfighting operations are functioning consistently to identify and exploit modernization opportunities</p>
<p>3. Coordinate information flow across the agency and with other agencies</p>
<p>4. Manage taskers and monitor performance measures</p>
<p>5. Elucidate use cases for AI</p>
<p>6. Deliver sustainable, useful, reliable AI Products</p>
<p>7. Inform Operation infrastructure design</p>
<p>8. Inform doctrine</p>
<p>9. Inform talent development/management</p>
<p>10. Educate leaders</p>
<p>11. Improve data (collection, curation, storage, and sharing)</p>
<h4>The AI Talent 2.0 vendors shall provide industry-leading, AI-related, non-traditional program and technical management support services and work products to DoD programs, cyber community and customers under individual task orders. This support encompasses the areas of:</h4>
<h5>Technical Management</h5>
<ul><li>Agile Development</li><li>Cyber Analytics</li><li>Cybersecurity Risk Management</li><li>Integration</li><li>DevSecOps</li><li>Systems Engineering</li><li>Systems Maintenance and Sustainment</li><li>System Security Engineer</li><li>ML Development, and Applied Data Science</li><li>Testing</li></ul>
<h5>Program Management</h5>
<ul><li>Administration/Operations</li><li>Graphics</li><li>Logistics</li><li>Project Management</li><li>Training</li></ul>
<h2>Helpful Links</h2>
<p><a href="https://storage.tradewindai.com/pdfs/AI-Talent-_-One-Page.pdf">AI Talent Slick Sheet - PDF</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/AIT-2.0-Ordering-Guide-9-26.docx">Ordering Guide</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/AI-Talent-2.0-BOA-Holder-List-public-facing.xlsx">BOA Holder List</a></p>
<p><a href="https://storage.tradewindai.com/pdfs/ATTACHMENT-0002-AI-TALENT-2.0-BOA-PWS.pdf">BOA PWS</a></p>

AI Talent

The Chief Digital and Artificial Intelligence Office (CDAO), in collaboration with CENTCOM, is seeking demonstrations for commercial platforms to enable DoD personnel to rapidly create and maintain computer vision (CV) capabilities.

<h2>Computer Vision Defense Commercial Solutions Opening (CSO) General Solicitation</h2>
<h2>Demonstrations of Innovative Commercial Technologies</h2>
<h2>Implemented by Class Deviation 2022-O0007</h2>
<h2><strong> </strong></h2>
<p><strong></strong><strong>INNOVATIVE</strong> <strong>COMMERCIAL</strong> <strong>DEMONSTRATION</strong> <strong>SUMMARY</strong></p>
<figure><img src="https://storage.tradewindai.com/images/Desert-Sentry-Logo.png" alt="Desert Sentry Logo" /></figure>
<h4><strong>Computer Vision<br /></strong></h4>
<p>The Chief Digital and Artificial Intelligence Office (CDAO) is seeking demonstrations for commercial platforms to enable DoD personnel to rapidly create and maintain computer vision (CV) capabilities. Intended applications include automated detection and identification of features in imagery and video collected by spaceborne, airborne, and land/sea-based sensors. Desired solutions will support the following supervised learning functions:</p>
<ul>
<li><strong>IMAGERY/VIDEO INGEST – </strong>The capability must support manual and batch ingest of data from local or cloud data stores, inclusive of pertinent domain metadata (e.g., collection timestamp, sensor details, image processing details, geotags, content tags, synthetic content tags, etc).</li>
<li><strong>BATCH DATA PREPARATION</strong> – Example functions include spatially-subdividing large images or temporally-subdividing videos for labelling purposes. </li>
<li><strong>LABELED DATA SET INGEST</strong> – The capability must support ingesting existing labeled data sets, provided they conform to common labeled data set standards (e.g., COCO).</li>
<li><strong>CV TASK AND ONTOLOGY GENERATION</strong> – CV tasks include classification, as well as single- and multi-class object detection and instance segmentation for imagery and video.</li>
<li><strong>LABELING</strong> – The capability must manage distributed workforce labeling and secondary quality reviews. An optional, yet highly desirable, feature is incorporation of novel methods to enhance labeling efficiency. Examples include pre-labeling (i.e., machine-generated labels) and machine-assisted labeling (e.g., human-generated point automatically converted to polygon). </li>
<li><strong>AUTOMATED LABEL AUGMENTATION</strong> – The capability must boost the size of a labeled dataset through intelligent batch transformations thereof (e.g., mitigate class imbalance).</li>
<li><strong>AUTOMATED MODEL TRAINING</strong> – Model training must flexibly utilize cloud or on-prem GPU compute resources.</li>
<li><strong>AUTOMATED MODEL SCORING</strong> – Performance scoring must be based on industry standard CV metrics (e.g., F1, precision, recall), contrasting findings from test and validation (i.e., withheld from training) sets.</li>
<li><strong>MODEL CONTAINERIZATION – </strong>The capability must export a containerized model, inclusive of the model network, weights, and supporting metadata for traceable provenance. The containerized model must be fully viable as an air-gapped capability, with zero external system dependencies.</li></ul>
<p>In addition to interacting with the above functions via a consolidated web UI, programmatic interaction via open Application Programming Interfaces is also required. As such, there are two target user demographics.</p>
<ol><li>Respectively, the primary user demographic consists of DoD analysts and operators with mission-related subject matter expertise (i.e., <em>not</em> traditional CV developers), warranting an intuitive, streamlined UI/UX.  This enables scale while bolstering user adoption.</li><li>Data scientists and infrastructure engineers will have a role in deploying, maintaining, and ensuring interoperability of the CV platform as part of a larger digital enterprise, to include cloud-based and on-premises networks.</li>
</ol>
<p>The goal for this effort is to enable DoD warfighters to create performant CV models in 7 days or less via an integrated, self-service platform. If successful, this process will complement existing CV development programs of record focused on model performance optimization.</p>
<p><strong>Counter UAS</strong></p>
<p><u>The cUAS section is under development and will be updated in the coming months.</u><br /></p>
<p>In this context, “innovative” is defined as any commercial product, technology, service, and/or any application of an existing commercial product, technology or service that have the potential to fulfill requirements, close capability gaps, or provide potential technological advancements for the Department of Defense. This may include any novel process, practice, methodology, or application of the preceding items to a new mission domain. </p>
<p>Under a CSO, DoD may competitively select solutions received in response to a general solicitation, similar to a broad agency announcement. Use of a CSO in accordance with this Class Deviation 2022- O0007 is considered to be a competitive procedure for the purposes of 10 U.S.C. chapter 221 and Federal Acquisition Regulation (FAR) 6.102. As a result of the competitive processes used under this CSO Announcement, multiple awards of various demonstrations may be executed. Awards executed from this CSO competitive process may include, but are not limited to, a FAR based contract and/or an Other Transaction Agreement (OTA). </p>
<p>Under the authority of 10 U.S.C. 4022, the CDAO may desire to award an other transaction agreement to carry out prototype project(s) that are directly relevant to enhancing the mission effectiveness. This general solicitation satisfies the requirement to compete to the maximum extent practicable pursuant to 10 U.S.C. 4022(b). As such, responses to this general solicitation have the potential for follow-on other transactions in accordance with 10.U.S.C. 4022(f). <u><br /></u></p>
<p><a href="https://www.tradewindai.com/opportunities/clwuxzmao0000jv0c434siijz"><br /></a></p><h3><a href="https://www.tradewindai.com/opportunities/clwuxzmao0000jv0c434siijz">View Opportunity/Submit Response</a></h3>
<p></p>
<h2>Helpful Links</h2>
<p><a href="https://storage.tradewindai.com/pdfs/appendix-001-evaluation-rubric.pdf">Appendix 001: Evaluation Rubric (PDF)</a></p>
<p><a href="https://sam.gov/opp/71a56340868c49dca81e45705d7fbf33/view" target="_blank" rel="noreferrer noopener">CENTCOM CSO Announcement</a></p>
<p><br /></p>

CENTCOM Desert Sentry