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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. SEmantic Context Aware Network Tools (SECANT)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: A12aT009

    Social network analysis has become one of the most powerful analytic tools in both private and government sectors and a key source of information on individuals and groups. Recently, social media arose as an important source for social network data in both sectors. Unfortunately, theoretically motivated approaches to social network analysis have not been able to keep pace with the new informationa ...

    STTR Phase I 2013 Department of DefenseArmy
  2. Combined RF/IR Data Correlation

    SBC: Technology Service Corporation            Topic: MDA12T001

    Aegis BMD 5.0 CU will expand and update the Baseline 9 MRBM and IRBM threat set, while Aegis BMD 5.1 will have capabilities against more sophisticated short to intermediate range ballistic missiles. An ability to discriminate this wider set of increasingly sophisticated threats is essential. Technology Service Corporation (TSC) and the Michigan Tech Research Institute (MTRI) propose to identify fe ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  3. RF-IR Data Fusion

    SBC: DECIBEL RESEARCH, INC.            Topic: MDA12T002

    The development and integration of three unique and innovative algorithm prototypes into a"Fused Track and Characterization Schema"are proposed. This Schema will encompass the determination of signatures and characteristics of objects that can be identified by RF and EO/IR Sensors in order to enable multi-sensor data fusion and correlation. The first algorithm, the"3D Pose Estimation"Algorithm, p ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  4. EOIR Fusion during Ascent Phase for C2BMC

    SBC: Vectraxx, Inc.            Topic: MDA12T004

    In this Phase I STTR project for MDA, Vectraxx of Glen Allen, Virginia will address the critical problem of dealing with pre-intercept debris fields and launch family clusters as seen by IR sensors. This is an essential element to the ascent phase component of the MDA"s Ballistic Missile Defense System. The objective of this R & D effort is to characterize pre-intercept debris field and leverage ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  5. Human-In-Control (HIC) Modeling and Integration Framework for BMDS Simulations

    SBC: Intelligent Automation, Inc.            Topic: MDA12T006

    IAI with University of Michigan proposes an innovative HIC software modeling and integration framework built around objectively quantified cognitive models of human operators i) Executive-Process/Interactive Control (EPIC) and ii) GOMS (Goal Operator Method and Selection rules) Language Evaluation and Analysis (GLEAN). The framework provides ability to model existing or futuristic operator workst ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  6. M&S Uncertainty Quantification

    SBC: OPTIMIZATION TECHNOLOGIES, INC.            Topic: MDA12T007

    OptTek Systems, Inc (OptTek), proposes an affordable, effective UQ capability for both legacy and new BMDS M & S. The OptTek Team includes research institution partner Oak Ridge National Laboratory (ORNL) and subcontractor RTSync Corporation (RTSync). The proposed BMDS M & S UQ capability maximizes insertability into existing and future MDA BMDS M & S-supported Event processes, analysis methods, a ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  7. M&S Uncertainty Quantification

    SBC: NUMERICA CORPORATION            Topic: MDA12T007

    A goal of Uncertainty Quantification (UQ) is to use computer simulation of complex systems to make scientifically informed assessments for high-consequence decisions. Because end-to-end empirical data is difficult to obtain for the Ballistic Missile Defense System (BMDS), computer simulation provides the best method for understanding BMDS capabilities against a wide range of threats. Numerica Co ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  8. Verification and Validation of Physics Based DPAL Models

    SBC: AEROSOFT INC            Topic: MDA12T008

    AeroSoft, with the USAFA Laser and Optics Research Center proposes to create an extensive and thorough Verification and Validation (V & V) Program for anchoring physics based modeling software for static and flowing DPAL systems. During Phase I, a review of existing experimental programs will made and used for preliminary validation with the GASP software suite. Once deficiencies in the current e ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  9. Naturalistic Neurocognitive Assessment Using Mobile Gaming Platforms

    SBC: Vista Partners LLC            Topic: A12aT029

    The neurocognitive health of U.S. service members plays a vital role in the defense of the United States. It is critical to a service member"s effectiveness, to force readiness, and it is a key component of a service member"s successful reintegration into family life and society following deployment. Increased rates of mild traumatic brain injury (mTBI) and psychological health problems experien ...

    STTR Phase I 2013 Department of DefenseArmy
  10. Bio-Inspired Visual Navigation: From Landmarks via Bearing to Controls

    SBC: Intelligent Automation, Inc.            Topic: A12aT030

    In a low-texture indoor environment, landmark-based navigation is difficult due to lack of distinctive micro-features such as SIFT and SURF. Intelligent Automation, Inc. (IAI) and GRASP Laboratory at the University of Pennsylvania propose a Bio-Inspired Visual Navigation System with the following three innovations: First, we propose a segmentation-based method to extract landmarks as closed contou ...

    STTR Phase I 2013 Department of DefenseArmy
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