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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. Human Performance Optimization

    SBC: HVMN Inc.            Topic: SOCOM17C001

    During altitude-induced hypoxia, operator cognitive and physical capacity degrades, compromising individual and team performance. Cognitive degradation is linked to falling brain energy levels, increased reliance on anaerobic energy production and lactate accumulation. Ketones are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies demonstrated that ...

    STTR Phase II 2019 Department of DefenseSpecial Operations Command
  2. SmallSat Stirling Cryocooler for BMDS (SSC-X)

    SBC: WECOSO, INC.            Topic: MDA17T003

    West Coast Solutions (WCS) proposes the development of the SSC-X Stirling cryocooler to enable the deployment of infrared (IR) payloads on small satellite platforms. We achieve extreme miniaturization (

    STTR Phase II 2019 Department of DefenseMissile Defense Agency
  3. Dim Target Extraction and Conjoint Tracking (DTECT) Enhancements for Missile Defense Applications

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  4. Advanced Hit Detection Systems

    SBC: FREENT TECHNOLOGIES, INC.            Topic: MDA13015

    FreEnt Technologies, Inc. (FreEnt) and Johns Hopkins Universitys Applied Physics Laboratory (APL) are proposing a multiple-hit detection sensor called the Optical Lethality Measurement System (OLMS). This system is based on the Planar Optical Penetration Sensor (POPS) technology (originally developed and patented by APL) and prior art associated with the Blast Initiation Detector (BID). The BID is ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  5. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special OperationsForces (SOF)are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S.military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the funct ...

    STTR Phase II 2019 Department of DefenseSpecial Operations Command
  6. Electro Optic Avionic Advanced Guidance, Navigation and Control (GNC) Algorithm Development to Enhance the Lethality of Interceptors Against Maneuveri

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: MDA08T003

    This Phase II effort will further develop a technique to improve current seeker discrimination and tracking capabilities using a unique particle filter algorithm (PFA) approach. The advancement represents a significant upgrade to current and future seekers facing advanced threats in stressing environments. Quantifiable improvements over many facets of the current approach have been realized during ...

    STTR Phase II 2010 Department of DefenseMissile Defense Agency
  7. High-Speed Simultaneous Multiple Object Detection System

    SBC: FREENT TECHNOLOGIES, INC.            Topic: MDA16T006

    FreEnt Technologies, Inc., A2Z Innovations, Inc., and the University of Alabama Aerospace Research Center (UAH/ARC) have teamed together to design, develop, and perform ground-based-demonstrations of a High-Speed Simultaneous Multiple Object Detection (HS-SMOD) System for MDA. The HS­SMOD system uses a simple but innovative technique of a passive fiber-optic grid and high-speed COTS opto-electr ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  8. Programmable Multi-Frequency Transmitter for Missile Communciations

    SBC: Space Micro Inc.            Topic: MDA16T005

    Improving capabilities of telemetry systems for next generation e.g. (MOKV) missile defense launch vehicles, kill vehicles, and test/target vehicles subsystems can transform operational testing of such systems and has the potential to increase capabilities of systems that rely on radio communications. As these systems, and their test scenarios become get more complex they will require unprecedente ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  9. System of Systems Control Interactions

    SBC: GTD Unlimited LLC            Topic: MDA15T002

    In this research effort, the GTD team will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Three approaches will be considered and integrated. The first two are based in the rigorous application of H_8 control theory to the SoS design problem. The third will use complexity measures to generate a metric that c ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  10. Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: MDA15T001

    ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
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