SBIR/STTR Research Award

SeekrFlow: Finely-Tuned RAG-enabled Large Language Models for System Security Engineering Analysis

Award identifier 94173e7dd0d74795012250b23606be960b47a099e246abe872e993bc11d5a515Awarding agency Department of Defense · Army

Award amount

$249,684

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
SEEKR TECHNOLOGIES INC.
Proposal award date
2025-07-29
Contract end date
2026-02-04
UEI
H63HV6E5LYN5
Solicitation number
25.4
Topic code
A254-006

Research abstract

As cyber threats against Army aviation and missile systems grow more sophisticated, current methods for identifying vulnerabilities are slow and prone to error. Seekr Technologies proposes an AI-powered solution using its SeekrFlow platform to enhance cybersecurity through fine-tuned Large Language Models (LLMs). This tool will automate vulnerability detection, model adversarial threats, and generate proof-of-concept exploits, providing actionable insights for blue team defense and red team testing. SeekrFlow’s patented Principle Alignment technology ensures the tool aligns with mission requirements, reducing risks like inaccuracies and hallucinations. The solution integrates seamlessly with Army systems, scales across platforms, and enables rapid, accurate threat analysis. Phase I will assess feasibility, select representative prototypes, and deliver a roadmap for future development. This innovation reduces operational risk, improves cybersecurity readiness, and equips the Army with a proactive defense against evolving threats.

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

3 SBIR/STTR records share this UEI (2025). Reported award amounts total $2,496,719. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

Agency intelligence

Department of Defense

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