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Award Data

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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. GREAT: Graph-based Rapid Extraction and Analysis Tool

    SBC: DEUMBRA, INC.            Topic: N/A

    GREAT, Graph-based Extraction and Analytical Tool will enable teams of subject matter experts (SMEs) to author knowledge bases directly and easily without knowledge engineers serving as intermediaries. 21st Century Technologies and BBN Technologies shalldemonstrate rapid knowledge formation of complex problem solving patterns and concepts using graph pattern matching technology to increase the spe ...

    SBIR Phase I 2003 Department of DefenseArmy
  2. Graph Matching Intrusion Detection for the Insider Threat

    SBC: DEUMBRA, INC.            Topic: N/A

    We propose the Graph Matching Intrusion Detection (GMID) system, a novel approach to detecting insider and coordinated insider-outsider threats based on our algorithms for solving the subgraph isomorphism (graph matching) problem. GMID performs datafusion on information from dense sensor networks inside and outside the secured system to build a graph representation of network topology, user activ ...

    SBIR Phase I 2003 Department of DefenseArmy
  3. Future Theater Distribution System (FTDS)

    SBC: DEUMBRA, INC.            Topic: N/A

    The Future Combat System is drawing from the Operation and Organization Plan and Operational Requirements Document a concept of having a 72 combat pulse, with rotation of the combat elements back to the MSS for resupply and rest before rotating back intoanother 72 pulse. During the combat pulse, there would three periods of intense activity, separated by lulls. These lulls, called maintenance pu ...

    SBIR Phase I 2003 Department of DefenseArmy
  4. Graph Matching and Metrics Intrusion Detection System (GMIDS)

    SBC: DEUMBRA, INC.            Topic: N/A

    The Graph Matching and Metrics Intrusion Detection System (GMIDS) is a novel approach to detecting insider and coordinated insider-outsider threats. GMIDS is based on our proven algorithms for graph-based pattern matching, social network analysis, linkanalysis, and statistical pattern recognition. GMIDS performs data fusion on information from dense sensor networks inside and outside the secured ...

    SBIR Phase II 2003 Department of DefenseArmy
  5. Dynamic Composable Simulations for Robotic Behaviors

    SBC: ADVANCED COORDINATION TECHNOLOGIES, LLC.            Topic: N/A

    The primary objective for this work is to develop models and behaviors for entities within a simulation environment, specifically in the area of unmanned systems, with a user interface that allows for the creation of unique individual and team behaviorsfor insertion into a military and Homeland Defense simulation scenario. OneSAF (Semi-Automated Forces) Testbed environment will be used as a basel ...

    SBIR Phase I 2003 Department of DefenseArmy
  6. Dynamic Composable Simulations for Robotic Behaviors

    SBC: ADVANCED COORDINATION TECHNOLOGIES, LLC.            Topic: N/A

    The primary goal for this work will be to develop models and behaviors for entities within a simulation environment, specifically in the area of unmanned systems, with a user interface that allows for the creation of unique individual and team behaviorsfor insertion into a military and Homeland Defense simulation scenario. As they become available, OneSAF (Semi-Automated Forces) variants (OTB and ...

    SBIR Phase II 2003 Department of DefenseArmy
  7. Enabling Drug Discovery for Malaria

    SBC: AGAVE BIOSYSTEMS INC.            Topic: N/A

    Agave BioSystems has been highly successful in accomplishing the Phase I objectives. In this Phase II proposal, Agave BioSystems will build upon the results generated in the Phase I to isolate additional shikimate pathway genes. We will continue to usestate-of-the-art-bioinformatics computational analysis to assist in identifying genes in this pathway. We will also continue our use of both gene ...

    SBIR Phase II 2003 Department of DefenseArmy
  8. Enabling Drug Discovery for Malaria

    SBC: AGAVE BIOSYSTEMS INC.            Topic: N/A

    Malaria is responsible for 300 million cases a year, resulting in 1 million deaths. From a military perspective, maintaining bases in regions where the disease is endemic puts troops at risk for infection. Whether for civilian or military populations,the fact remains that insecticide tolerant mosquitoes, drug resistant parasites and lack of effective vaccines necessitate new approaches to combat ...

    SBIR Phase I 2003 Department of DefenseArmy
  9. Computational Tools for Stress and Damage Analysis of Laminated Composite Structures

    SBC: COMPOSITES RESEARCH & ADVANCED MATERIALS            Topic: N/A

    Modern Army vehicles require durable, reliable, modular and lightweight structures for better maneuverability and performance. Use of advanced composite materials with smart structural concepts offer the potential to meet these requirements. Design of suchstructures requires sophisticated analysis tools that are capable of predicting deformation and stresses accurately. In Phase I of the contract, ...

    SBIR Phase II 2003 Department of DefenseArmy
  10. Data Mining Longitudinal Clinical Data to Detect Adverse Drug Events

    SBC: CONCEPTUAL HEALTH SOLUTIONS            Topic: N/A

    Conceptual Health Solutions (CHS) technology specializes in the conversion of free-text to structured data for medical data mining and automated processing. CHS will adapt its existing technology to develop a core data infrastructure for the automationof the evaluation of longitudinal clinical data from dynamic DoD health information systems to detect adverse events after use of drugs, vaccine, ...

    SBIR Phase I 2003 Department of DefenseArmy
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