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Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- DARK WOLF SOLUTIONS, LLC
- Proposal award date
- 2022-08-15
- Contract end date
- 2022-12-13
- UEI
- K8KVUFQMGYV5
- Solicitation number
- 21.4
- Topic code
- A214-001
Research abstract
Dark Wolf Solutions, LLC (Dark Wolf) proposes the Talent Acquisition aND Knowledge System (TANKS) solution to enable the Army’s Emerging Technology Leaders (ETL) Program to achieve human capital management efficiencies. Our approach capitalizes on our team’s proven successful Agile management approach, deep knowledge of a variety of Natural Language Processing (NLP) and clustering tools, and proven success with operationalizing Artificial Intelligence/Machine Learning (AI/ML) research. This approach consists of five steps: (1) Scope the Problem and Further Identify Requirements, (2) Conduct Data Discover, (3) Test and Analyze Results to Select the Optimal ML Model, and (4) Conduct Phase II Planning. Dark Wolf’s proposed TANKS solution will leverage one solution or several combined solutions, such as clustering, Latent Dirichlet Allocation (LDA), and deep learning, (in an ensemble approach) to provide the Army an easy-to-use tool to identify key skills, recruit and develop talent, and distribute talent across the enterprise. Our solution applies a clustering algorithm to build an ideal ETL profile of Knowledge, Skills, and Abilities (KSA). Each of those KSA’s is given a grade based on the average squared error within the cluster. TANKS then uses the KSA scores to build an overall KSA assessment for candidates where missing high grade skills are presented on the user’s profile as potential areas for development. (Talent Development.) In addition to the KSA score, TANKS will leverage deep learning to assess the narrative portions of a candidate's resume. The TANKS interface will aggregate these scores as well as their narrative score, enabling Army Human Resources professionals to identify highly rated candidates quickly and efficiently. These models, used in conjunction, will reduce overall hiring bias by building a score and profile without factoring in identifying characteristics of a candidate. (Skill Identification, Talent Recruitment, Talent Selection.) Finally, TANKS enables users to associate candidates with a team, and using the members’ individual scores, TANKS will designate an overall team score and skill assessment, identifying strengths and weaknesses. The TANKS teams’ profiles will allow the Army to track teams across the organization and optimally distribute talent. (Talent Distribution.)
Technology keywords
Not reported
Other awards by this recipient
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Awards with the same topic code
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Research funding history
5 SBIR/STTR records share this UEI (2019–2023). Reported award amounts total $2,893,457. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense
Contractor profile
DARK WOLF SOLUTIONS, LLC
Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.
Agency intelligence
Department of Defense
NAICS intelligence
This classification comes from the contractor profile, not from the SBIR award record.
Contractor industry classification NAICS 518210
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