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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. VOLTA Maturation for AF/DoD Embedded Systems Analysis (V-MESA)

    SBC: ADVENTIUM ENTERPRISES, LLC            Topic: AF221DCSO1

    Modern, networked, cyber-physical systems pose a special challenge for  Cyber Vulnerability Assessment.  Communication protocols may be inherently vulnerable, may be implemented in an unsafe manner, or may be vulnerable to timing attacks, in which carefully-timed inputs can be used to disrupt system operations. Developed under AFRL's NOVA program, Adventium Labs’ VOLTA software automates the p ...

    SBIR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  2. REPAIRing with an OpenMIND

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: SB162005

    Most AI agent systems are extremely brittle: they use hand-crafted or laboriously-learned models that cannot handle situations that deviate widely from their expectations or training set. Real-world applications required more robust and resilient methods. In the original REPAIR Phase I and Phase II projects, we developed general metaheuristics for decentralized multi-agent systems that are capable ...

    SBIR Phase II 2022 Department of DefenseDefense Advanced Research Projects Agency
  3. PERSEUS

    SBC: BIOMASON INC.            Topic: HR001121S000717

    Biomason’s prototype MEDUSA dust abatement system provides a superior performing, logistically lean, and environmentally friendly solution for rapid dust suppression for VTOL operations in austere, forward operating positions. Moreover, base MEDUSA systems and processes may be adapted for utilization in multiple industrial sectors and serve several other key military and civilian use-cases - fro ...

    SBIR Phase II 2022 Department of DefenseDefense Advanced Research Projects Agency
  4. OBLONGATA

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: SB172006

    OBLONGATA proposes an in-depth analysis of data collected during MEDULLA’s 4 1-month long HI-SEAS missions. As such it is a continuation of the work performed under MEDULLA. The projects complement each other to form MEDULLA OBLONGATA. The Base Phase proposal describes all measures SIFT and collaborators collected during missions M1-M4 (M4 is ongoing), as well as our analytical approach, and pre ...

    SBIR Phase II 2022 Department of DefenseDefense Advanced Research Projects Agency
  5. Software Implementation from Rigorous Formal Usable Requirements (SIRFUR)

    SBC: ADVENTIUM ENTERPRISES, LLC            Topic: DHP15004

    The Software Implementation from Rigorous Formal Usable Requirements (SIRFUR) project will develop and deploy model-based system engineering (MBSE) tools to provide formal verification evidence that system-level safety and security requirements represented in system models are accurately reflected in the subsystem components and the code that implements them.  SIRFUR will autogenerate embedded C ...

    SBIR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  6. ACUMEN: Analyzing Cultural Motif Effects in Networks

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: OSD12LD8

    A motif is a non-commonplace, specific narrative element (such as a striking event, character, or object) that is repeated across stories found within the same cultural group, and concisely expresses complex cultural and political ideas through the inferences it evokes about a particular situation. If we can track motifs in communications, we will have a significant advantage in modeling informati ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  7. TYBALT: Transcending cYber Barriers with Automated Language Tracking

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: SB171009

    TYBALT (Transcending cYber Barriers with Automated Language Tracking) primary goal is the automatic detection of adverse intentions against US forces via publicly available information (PAI). Our “Intent to Act Adversely Detector” (ITAAD) is based on empirically-driven cognitive models linked to features detectable in the structure (rather than content) of written language: Integrative Complex ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  8. Monitoring Emergent Duress Under Long-Lasting Allostasis (MEDULLA)

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: SB172006

    Collective allostatic load (CAL) is known to cause the degredation of team performance in a variety of contexts. SIFT is proposing MEDULLA (Monitoring Emergent Duress Under Long-Lasting Allostasis), a multi-method approach based on physiological, cognitive, and behavioral measures to develop and fine-tune algorithms for assessing CAL and predicting changes to CAL that can affect team performance. ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  9. CPS: Creative Problem Solver

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: N16AT002

    Military systems operate in complex, adversarial environments where their initial planned operations are often overcome by events, but soldiers use those systems in creative ways to achieve their mission objectives. For example, complex ground robotic systems that were initially deployed for surveillance and explosive ordinance disposal have instead been used as decoys, ammunition carriers, and ot ...

    STTR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  10. REPAIR: Resilient Emergent Properties for Autonomous Agent InteRactions

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: SB162005

    SIFT, along with Drs. Julie Adams and Ramesh Sagili of Oregon State University (OSU), propose to develop “Resilient Emergent Properties for Autonomous Agent InteRactions” (REPAIR). Building upon recent innovative work in swarm control and optimization, and applying new observations of specific defensive and adaptive characteristics of honeybee colonies, REPAIR will provide biologically inspire ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
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