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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. Mission US: TimeSnap

    SBC: Electric Funstuff, Inc.            Topic: 99190018R0005

    Purpose: This project team will fully develop and test Mission US TimeSnap, a game integrated within a Virtual Reality (VR) headset. This VR environment will provide an immersive exploration and analysis of events in U.S. history. In the most recent National Assessment of Educational Progress, only 17% of grade 8 students performed at or above the proficient level in U.S. history. The discipline o ...

    SBIR Phase II 2018 Department of EducationInstitute of Education Sciences
  2. Memory Instrumentation and Performance Simulation (MIPS)

    SBC: ATC-NY INC            Topic: DTRA172003

    Next-generation high-performance computing (HPC) hardware, such as the Intel Xeon Phi Knights Landing Many-Integrated-Core processor, provide new deep memory architectures that offer the promise of increased performance. The challenge in taking full advantage of this architecture is selecting which data structures will be placed in the high-bandwidth memory. Optimizing data structure placement in ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  3. Hardware-in-the-Loop Scintillation Simulator for MILSATCOM links in a Nuclear Disturbed Communication Environment

    SBC: WELKIN SCIENCES, LLC            Topic: DTRA172006

    In response to SBIR Topic DTRA172-006, Welkin Sciences proposes to design and build a new all-digital fading channel simulator to be called CoLTSAD. This new simulator design will be the latest addition to our family of Configurable Link Test Sets (CoLTS). It will be capable of emulating the full range of MIL-STD-3053 scintillating channel conditions for all SATCOM frequency bands up to Ka-band. C ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  4. Real-Time Frequency-Selective Fading Channel Realization Generator

    SBC: WELKIN SCIENCES, LLC            Topic: DTRA122020

    During Phase I and a first Phase II, Welkin Sciences developed the Channel Realization Generator (CReG) algorithm, an enhanced functional replacement for the ACIRF code intended to be embedded into software link simulations and HWIL fading channel simulators. The proposed second Phase II effort will refine the CReG documentation and its software and firmware implementations. Many in the strategic ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  5. New and Innovative Overhead Persistent InfraRed (OPIR) Sensor Tasking Capabilities

    SBC: BLACK RIVER SYSTEMS COMPANY, INC.            Topic: MDA13007

    Our objective is to develop and demonstrate an integrated capability to perform dynamic retasking of enterprise wide management of OPIR, radar, and other operationally relevant sensors. The goals of this effort are to refine our existing OPIR tasking approach and to develop and Enterprise SRM approach that will allow the C2BMC to achieve the earliest possible launch detection and maintain the high ...

    SBIR Phase II 2018 Department of DefenseMissile Defense Agency
  6. Configurable Link Test Set (CoLTS) Jamming Capability

    SBC: WELKIN SCIENCES, LLC            Topic: MDA10003

    Under this Phase II SBIR effort Welkin Sciences will design and implement a Jammer Emulator hosted on the MDA sponsored CoLTS-LC hardware platform, originally built for nuclear-effects channel simulation.The Jammer Emulator will support emulation of a wide range of jamming methods, including frequency-following, which is not readily implemented using standard commercial test equipment.A remote int ...

    SBIR Phase II 2018 Department of DefenseMissile Defense Agency
  7. LG Technology Innovative Research, Streamlining Scenario Generation Across a System of Systems Simulation Enterprise

    SBC: STILMAN ADVANCED STRATEGIES, LLC            Topic: MDA16006

    To enhance Operational Test (OT) fidelity, increase automation, and shorten the testing process, the Missile Defense Agency (MDA) seeks innovative research efforts to develop scenario generation technologies. STILMAN proposes to conduct novel research to develop a highly automated and ‘composable’ scenario generation toolset. Currently, in the distributed system of systems Operational Test ...

    SBIR Phase II 2018 Department of DefenseMissile Defense Agency
  8. Advanced Rocket Trajectory Propagation Techniques

    SBC: Reservoir Labs, Inc.            Topic: MDA17T002

    Reservoir Labs and Johns Hopkins University will develop alternative numerical solution techniques that improve computational loading, data storage, and data integrity for rocket vehicle trajectory modeling in MDA federated simulations.The objective of this program is to develop new techniques for trajectory propagation that are more suited for use in federated simulations than traditional methods ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  9. Innovative Mitigation of Radiation Effects in Advanced Technology Nodes

    SBC: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION            Topic: DTRA16A003

    Micro-RDC has developed portable radiation effects test structures that scale to new process nodes.These structures will enable the investigation of the effects of radiation on the new technology from the material processing level as well as the circuit level.Fabricating the chosen structures and the refinement of software to extract the model parameters will be completed in this effort.A suite of ...

    STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  10. Deep Machine learning for risk Analysis and Prediction (D-MAP) in supply chains

    SBC: Intelligent Automation, Inc.            Topic: MDA16T002

    Globalization and digitization have been driving the recent economic growth at the expense of raising the risk level in the supply chain related to fraud, security, and safety, while current practice of supply chain management and risk assessment is lagging far behind. Therefore, commercial industries and government agencies are seeking advanced supply chain risk assessment solutions, which can ef ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
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