SBIR/STTR Research Award

Low/No Code Data Manipulation and Discovery for Special Operations Forces

Award identifier 76af464c38fecf24b8cd6c2cf4e5c3b53c7c72dbd0f946fbb9373757238c8b46Awarding agency Department of Defense · Special Operations Command

Award amount

$699,200

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Special Operations Command
Recipient company
THE AVASCENT GROUP, LTD.
Proposal award date
2022-09-27
Contract end date
2023-09-30
UEI
SCW3QLEMEN94
Solicitation number
22.4
Topic code
SOCOM224-D003

Research abstract

Special Operations Forces (SOF) require an intuitive LCNC platform and tailored trainings to enable members of its operational units to prep field data for decision making. SOF are charged with conducting military missions of high significance on behalf of the United States and its allies. SOF encounter a diverse and nuanced series of data during missions and during preceding ISR operations; as such, actionable data resources are critical to SOF mission planning and execution. Avascent specializes in placing data science capability into the hands of non-technical users. Across its US Government and Defense Industry clients, Avascent has demonstrated the ability to simplify complex tasks and methodologies into a form that is digestible by users with little or no data scientist related training. Avascent has also helped organizations deploy and adopt LCNC analytic platforms to solve key data needs without custom development efforts. Based on this experience, Avascent proposes a solution that leverages the benefits of powerful commercial tools and combines them with a custom analytic training platform the overcomes the challenges of adopting COTS tools. Avascent’s solution is comprised of a custom analytics training hub that houses custom developed SOCOM training content and leverages Microsoft’s Power Platform as the LCNC Analytics/AI platform. The training hub would be comprised of a several key components: Catalog of “Analytic Building Block” templates and training material: These cover a wide range of common data and analytic tasks (e.g., combining/merging data, text extraction, etc.). Templates provide a starting point for users to customize to their needs and would be populated with data that would be “realistic” for SOCOM users (e.g., context of common SOF use-cases). In Depth Use-case based training modules: Turnkey modules would be designed around common situations SOF will encounter on operations. These use-cases would be defined in collaboration with SOCOM during Phase II development efforts. Each module leverages a series of the “building blocks” to execute a SOCOM relevant challenge and will include in-depth episodic videos, data flow templates, etc. The goal is that these modules can be used both for training, and operationally ready-to-use tools. Intuitive, easy to navigate, web-based training hub: The training content described above will be accessible through a web-based platform and organized in an intuitive way. The design and organization of content will help users navigate and identify the capabilities they are looking for based on the problem at hand and help distill the complex data concepts into easy-to-understand modules.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

5 SBIR/STTR records share this UEI (2020–2022). Reported award amounts total $2,807,971. Reported amounts are not federal obligations.

Phases: Phase II, Phase I, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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