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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. Investigating Satellites Cataloged as Debris (ISCAD)

    SBC: Geost, Inc.            Topic: AF16AT04

    GEOST has teamed with the University of Arizona to create a one-person mobile telescope, mount, and camera able to track nearly all cataloged space debris.In Phase II of the ISCAD effort also called RoboScope, GEOST and the University of Arizona will implement the Phase I design in functional hardware and software, and then demonstrate the mobile observatory at the customer site.GEOST brings the O ...

    STTR Phase II 2017 Department of DefenseAir Force
  2. Object Based Production (OBP) for Satellite Characterization

    SBC: EXPEDITION TECHNOLOGY, INC.            Topic: AF161061

    The Expedition Technology team proposes, the Object-based Satellite Characterization, Analysis, and Reporting (OSCAR) program to addresses the goals of providing a robust framework for near real-time processing of a broad and growing set of sensor data for space situational awareness, and object characterization. We will integrate proven modern algorithms for characterization and fingerprinting in ...

    SBIR Phase II 2017 Department of DefenseAir Force
  3. Safe and Intelligent Surveying of Complex Environments with UAS Swarms

    SBC: BARRON ASSOCIATES, INC.            Topic: AF161050

    Accurate predictive and diagnostic meteorological tools serve a critical role in many military, civilian, and home defense applications. The micro-scale Three Dimensional Wind Field (3DWF) is a wind diagnostic model based primarily on the conservation of mass. Models like 3DWF meet an operational need by providing accurate diagnostics of the wind field in an urban or complex terrain environment an ...

    SBIR Phase II 2017 Department of DefenseAir Force
  4. Synergistic EO and RF SAR/SAL Processing

    SBC: PERCEPTIVE INNOVATIONS, INC.            Topic: AF161149

    This research seeks synergy between RF (SAR) and optical (SAL) synthetic aperture imaging, such that advantages can be identified to share a common processor for both functions on a tactical SWaP-constrained ISR platform. Traditionally, these very different functions would be implemented as completely independent and isolated stove pipe payloads. However, future tactical ISR platforms must be smal ...

    SBIR Phase II 2017 Department of DefenseAir Force
  5. Subspace Tracking and Manifold Learning Based Heterogeneous Data Fusion for Unexpected Event Discovery

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF16AT12

    In many DoD intelligence, surveillance, and reconnaissance (ISR) scenarios, the data streams not only have a high dimensionality, but also belong to different sensing modalities. Current ISR surveillance typically employs stove-piped exploitation systems. Based on a single sensing modality, a stove-piped system senses, captures, and processes only one kind of target signal or signature. IFT propos ...

    STTR Phase II 2017 Department of DefenseAir Force
  6. Deep BioThreatID

    SBC: Deep Learning Analytics, Llc            Topic: SB171002

    United States Department of Defense personnel make direct contact with unfamiliar and potentially harmful plants, insects, arachnids, and reptiles (i.e. biothreats), impairing personnel readiness and mission effectiveness. These threats endanger personnel, disrupt operations and destabilize ecosystems around the world, often requiring expensive remediation. Currently the DoD employs specialized fi ...

    SBIR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  7. Cloud Services for Trustworthy Microelectronics Assurance

    SBC: GRAF RESEARCH CORPORATION            Topic: AF161150

    Graf Research will research and develop optimal strategies for cloud-based trust assessment. We anticipate creating not only a novel cloud architecture that can facilitate the use of many of the DARPA-sponsored custom microelectronics trust software tools but also a unique, cloud-hosted software product OpTrust-C which will devise optimal strategies for the proper implementation of defensive mea ...

    SBIR Phase II 2017 Department of DefenseAir Force
  8. Ecosystem of Analytics via Massive Multi-analyst Multi-domain Analytics Laboratory (M3AL)

    SBC: Intelligent Automation, Inc.            Topic: AF171051

    Intelligent Automation, Inc. proposes to build an ecosystem of analytics via a common platform. The technological foundation is a massive multi-analyst multi-domain analytics laboratory (M3AL) that models analyst interactions as an ecosystem platform beyond just an aggregator tool. The ecosystem of analytics is a unified, cross-domain experimentation platform for multiple analytics that will be us ...

    SBIR Phase I 2017 Department of DefenseAir Force
  9. Development lightmap rendering technology to advance infrared simulation capabilities for training applications

    SBC: JRM ENTERPRISES, INC.            Topic: AF17AT012

    JRM Technologies proposes a new CUDA-based 3D thermal signature physics engine which combines real-time raytracing (photon-mapping) and localized temperature maps that together with new GPU shaders will better model the transient interactive coupling of dynamic thermal sources with affected 3D scene elements. To support this new physics engine, JRM proposes to leverage and extend its proven real- ...

    STTR Phase I 2017 Department of DefenseAir Force
  10. Coordination and Performance Metrics in Command and Control Environments

    SBC: Sandia Research Corporation            Topic: AF16AT09

    Measurement of coordination and performance in team training environments is essential for accurately evaluating training effectiveness and progress. Coordination and performance are tightly coupled. As coordination improves, team performance improves. As command and control systems become larger and more complex, measurement of performance and coordination becomes increasingly difficult. This Pha ...

    STTR Phase II 2017 Department of DefenseAir Force
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