You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. 3D-Printed Lightweight Optics for Directed Energy Systems

    SBC: OPTIMAX SYSTEMS, INC.            Topic: MDA13T009

    It is proposed that using additive manufacturing to fabricate a lightweight optic would result in a weight reduction of the optical system, since 3D-printing provides superior flexibility in the geometric design of the lightweight optic. In addition, the conventional approach to lightweight an optic requires machining of mechanically-hard optical substrates such as SiC, which is time-intensive an ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  2. Using Magnetic Levitation for Non-Destructive Detection of Defective and Counterfeit Materiel

    SBC: Nano Terra, Inc.            Topic: DLA15C001

    The introduction of substandard or counterfeit materials into the DoD supply chain can have extremely expensive, and potentially life threatening, consequences. Current techniques used to detect nonconforming materiel can be destructive (e.g., manual sectioning and inspection of a part), time consuming and expensive (e.g., micro-computed tomography, ultrasound), or provide only limited informatio ...

    STTR Phase I 2016 Department of DefenseDefense Logistics Agency
  3. Deep Inference and Fusion Framework Utilizing Supporting Evidence (DIFFUSE)

    SBC: BOSTON FUSION CORP            Topic: MDA15T001

    Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  4. Real-Time Health Management Portable Sensor for Solid Rocket Motors

    SBC: PHYSICAL SCIENCES INC.            Topic: MDA14T004

    Physical Sciences Inc. (PSI) proposes to design, develop, and demonstrate a portable, non-invasive, real-time sensor to assess the chemical and physical health of solid rocket motors as a function of age without affecting the motors integrity nor having direct contact with the propellant. In Phase II, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging pr ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  5. Additive Manufacturing and Thin Film Coating Development for Lightweight Directed Energy Reflective Optics

    SBC: OPTIMAX SYSTEMS, INC.            Topic: MDA13T009

    Optimax Systems, Inc. and Lawrence Livermore National Laboratory (LLNL) propose a collaborative effort, led by Optimax, with two focus areas. Optimax will focus on thin film coating development for optical components to: increase laser damage threshold of optics used in high energy laser systems, investigate methods for laser hardening of sensors, and model and predict the distortion of lightweigh ...

    STTR Phase II 2020 Department of DefenseMissile Defense Agency
  6. Human-Machine Teaming with Machine Learning Algorithms

    SBC: KITWARE INC            Topic: SOCOM18B001

    Characterizing and understanding the interactions between human and machine plays an important role in extracting the most out of our machine learning algorithms while reducing human workload. We propose to develop a software prototype system that reduces user workload of exploiting AI algorithms for imagery exploitation. We will design a user-friendly system for content matching with interactive ...

    STTR Phase II 2020 Department of DefenseSpecial Operations Command
  7. Trajectory Simulation using PSM

    SBC: TRITON SYSTEMS, INC.            Topic: MDA17T002

    Triton Systems, Inc., in collaboration with an academic partner, proposes to optimize a method for efficiently running federated simulations of atmospheric and orbital rocket flight. Our tool will be able to simulate large threat/interceptor events with fewer time steps at a given accuracy than current software. This will result in less storage requirements and significantly shorter computational ...

    STTR Phase II 2020 Department of DefenseMissile Defense Agency
  8. Advanced Data Association Algorithms to Address Emerging Threats

    SBC: BLACK RIVER SYSTEMS COMPANY, INC.            Topic: MDA19T001

    At the core of the challenge facing MDA today is one of adversary air and missile threats being able to fly non-ballistic, highly maneuvering hypersonic trajectories all while having the capability of close formation flight of multiple missile threats. This problem results in challenges related to detection of the threat targets as well as the resulting filtering and data association problem. Ther ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  9. QUARTERMASTER: Query and User-based Abductive Reporting Tool Enabling Responsive Multimodal Analysis of Simulated Technological Enterprise Records

    SBC: APTIMA INC            Topic: MDA19T003

    At the Missile Defense Agency (MDA), the system-wide approach to test engineering generates massive amounts of multi-dimensional data, which analysts explore to evaluate Ballistic Missile Defense System (BMDS) configurations, engagement conditions, and target phenomena. Analyses are limited by time to construct each data query, technical knowledge, and size/complexity of the datasets and domain. T ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  10. MAVERICK II: Mixed-Automation Visualizer for Emerging Relationships & Insights in Complex Knowledge

    SBC: APTIMA INC            Topic: MDA18T001

    System-level simulations of the Ballistic Missile Defense System (BMDS) generate extremely large quantities of highly multidimensional data, which analysts at the Missile Defense Agency (MDA) must explore and analyze to infer insights and relationships. Existing tools based on automated routine scripts are ill-equipped to handle the volume and complexity of these data, requiring piecemeal analysis ...

    STTR Phase II 2020 Department of DefenseMissile Defense Agency
US Flag An Official Website of the United States Government