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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. Innovative CFD Algorithm, Libraries & Python Frameworks for Hybrid-GPU Computing Architectures

    SBC: JMSI, INC            Topic: AF09BT18

    The need for faster highly resolved solutions coupled with the advent of General Purpose Graphics Processing Unit (GPGPU) architectures and the development of GPGPU algorithms at the University of California, Davis present an opportunity that JMSI Inc. proposes to leverage by developing algorithmic and software solutions for GPGPUs in “Innovative CFD Algorithms, Libraries & Python Frameworks for ...

    STTR Phase I 2010 Department of DefenseAir Force
  2. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: AECHELON TECHNOLOGY            Topic: N09BT038

    Military operations in urban areas have increasingly become a key capability for our armed forces. The increased risk of use of the unique nature of large urban environments by hostile forces to their tactical advantage, and related civilian casualties, requires updated procedures, comprehensive training, and constantly evolving capabilities. Current training technologies fail to address the signi ...

    STTR Phase I 2010 Department of DefenseNavy
  3. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: CG2, Inc.            Topic: N09BT038

    In today’s information age, there are vast resources of data on every region of the Earth. The application of geospecific imagery over large areas has been limited to terrain for the most part. The hindrances to full use of geospecific imagery are the labor required to create the databases, and limits on the rendering capacity of current image generators (IGs), both in polygon count and texture ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: TOYON RESEARCH CORPORATION            Topic: N09BT038

    Toyon Research Corporation and Brown University propose to develop a complete real-time software solution which ingests multi-sensor ISR imagery and produces geo-specific, realistic simulated imagery for flight simulators and training devices. The technical innovations enabling this solution include fully automated 3-d model construction from sequences of ISR video frames, and geo-registration of ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Incremental Learning for Robot Sensing and Control

    SBC: SET ASSOC. CORP.            Topic: A09AT030

    SET Corporation, together with Carnegie Mellon University''s National Robotics Engineering Center (NREC), will develop a system that leverages state-of-the-art sensing, perception, and machine learning to provide trafficability assessments for UGVs for agricultural, security and military applications. It will consist of a set of proprioceptive and exteroceptive sensors that provide rich data about ...

    STTR Phase I 2010 Department of DefenseArmy
  6. Incremental Learning for Robot Sensing and Control

    SBC: Net-Scale Technologies, Inc.            Topic: A09AT030

    This proposal addresses key open challenges identified during the LAGR program for the practical use of adaptive, vision-based robot navigation in commercial settings. First, the adaptive vision system learns quickly, but forgets as quickly. This will be addressed by using an ensemble of "expert" classifiers, each of which specializes for a particular environment and can be quickly activated when ...

    STTR Phase I 2010 Department of DefenseArmy
  7. Improving Software and Data Security in SCADA Systems

    SBC: REAL-TIME INNOVATIONS, INC.            Topic: OSD09T003

    To build a more intelligent grid, electric utilities must now construct a new architecture from connected, standard technologies. This smart architecture will connect SCADA systems so they can interact more efficiently. It will employ distributed monitoring and power-use optimization. It will also connect SCADA networks to corporate networks, wireless systems, and remote monitoring stations. ...

    STTR Phase I 2010 Department of Defense
  8. Improving Software and Data Security in Industrial Control Systems

    SBC: Pikewerks Corporation            Topic: OSD09T003

    Industrial Control Systems (ICS) are critical elements in electrical, water, oil/gas, and manufacturing services involving supervisory control and data acquisition (SCADA), distributed control systems (DCS), and programmable logic controllers (PLCs). These systems allow operators to monitor sensor data and remotely control field devices. Initially, these devices were designed for closed-network or ...

    STTR Phase I 2010 Department of DefenseAir Force
  9. Improved Sensing Using Simultaneous Orthogonal Spectroscopic Detection

    SBC: Applied Systems Research, Inc.            Topic: A09AT019

    US forces are increasingly involved in asymmetric warfare, peacekeeping and humanitarian assistance missions. These scenarios can place soldiers in direct contact with harmful biological and chemical warfare organisms and agents, toxic industrial chemicals, and explosives. Current portable sensor technology solutions rely on visible and near-IR Raman or Fluorescence spectroscopy. But operations ...

    STTR Phase I 2010 Department of DefenseArmy
  10. Improved Sensing Using Simultaneous Deep UV Raman and Fluorescence Detection

    SBC: PHOTON SYSTEMS, INC            Topic: A09AT019

    This proposal addresses the need to increase the probability of detection (PD) and reduce the probability of false alarm (PFa) for non-contact, real-time sensors for trace levels of biological and chemical targets using simultaneous detection of Raman and fluorescence emissions. Raman spectroscopy is a spectroscopic method that provides information about molecular bonds in target materials. F ...

    STTR Phase I 2010 Department of DefenseArmy
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