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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. Aberration-correcting Topologically Optimized Metasurface (ATOM)

    SBC: PHYSICAL SCIENCES INC.            Topic: HR001119S003524

    Metalenses, with their ability to arbitrarily control the amplitude and phase of light across a band of wavelengths, have the potential to disrupt imaging and communication systems which rely on traditional lenses to focus, collimate, and otherwise manipulate optical signals, and are under increasing pressure to operate with reduced size and weight. We propose to design, develop, and demonstrate a ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  2. ACADIANA (Annotating Code for Assured Data Intent to Avoid Novel Attacks)

    SBC: ASSURED INFORMATION SECURITY, INC.            Topic: HR001120S0019001

    In the ACADIANA effort we will address the inability of modern programming language, operating system, and architectural abstractions to provide a baseline level of adequate confidentiality protections.  Until now, developers and users of software have largely relied on their programming language and operating system to ensure that confidential data isn’t leaked out of a process’ memory space ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  3. Adaptive Distributed Allocation of Probabilistic Tasks (ADAPT II)

    SBC: APTIMA INC            Topic: A18BT007

    The future success of military teams operating in dynamic and uncertain environments will require the incorporation of artificial intelligence (AI) to help structure those teams, create plans of actions, execute those plans, and adapt plans as the environment and goals change. Successfully combining human of AI team members can achieve better results than either could on their own, but an uninform ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  4. Context-driven Active-sensing for Repair Tasks (CART)

    SBC: DYNAMIC OBJECT LANGUAGE LABS INC.            Topic: ST14B003

    Computer-vision adaptation context taskable sensors top-down robust closed-loop

    STTR Phase I 2015 Department of DefenseDefense Advanced Research Projects Agency
  5. Context-driven Active-sensing for Repair Tasks II (CART II)

    SBC: DYNAMIC OBJECT LANGUAGE LABS INC.            Topic: ST14B003

    Existing machine perception systems are too inflexible, and are not robust enough to environmental uncertainty. In existing systems, perception components are statically (and manually) configured to process sensor data. The parameters of components in such a system are also statically tuned to operate optimally under very specific conditions. Information flow in such systems is bottom up, and gene ...

    STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  6. Development of an Autonomous Glycemic Control Mechanism for Patients Suffering Glycemic Abnormalities as a Result of Critical Illnesses

    SBC: Beta Bionics, Inc.            Topic: ST18C004

    It is well established that hyperglycemia of critical illness, general glucose intolerance, and insulin resistance are common among critically ill patients, including those without a diagnosis of diabetes mellitus upon hospital admission. Such glycemic dysregulation has been linked to increased patient morbidity and mortality, and longer recovery times. Furthermore, tight glycemic control has been ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  7. Forecasting Dynamic Group Behavior in Social Media

    SBC: Systems & Technology Research LLC            Topic: ST12B002

    Organized groups are become increasingly adept at using social media to influence public discourse. The fast pace and global reach of social media allow groups for form and mobilize in minutes and dissolve as rapidly as they appeared. In Phase I, we 1)

    STTR Phase II 2015 Department of DefenseDefense Advanced Research Projects Agency
  8. 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
  9. Hybrid Analog-Digital Co-Processor for Scientific Computation

    SBC: ALLEGORY LABS LLC            Topic: ST15C002

    We propose to use a hybrid analog-digital electronic computer to solve partial differential equations (PDEs) arising in scientific simulations and high performance computing (HPC). The simulation of PDEs has extensive applications in commerce, research, and defense. Analog computation potentially decreases the time and energy needed to reach a solution by providing an ability to carry out iterativ ...

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  10. Memristor-CMOS Analog Co-Processor for Efficient Computation of PDEs

    SBC: SPERO DEVICES, INC.            Topic: ST15C002

    Spero Devices is proposing design of a memristor-CMOS co-processor to implement analog Discrete Fourier Transforms (DFTs). The analog co-processor invokes spectral methods to solve a class of linear and non-linear partial differential equations (PDEs) arising in the scientific simulation of complex systems. Current PDE solution methods are inefficient and often intractable due to limitations assoc ...

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
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