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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. Supervisory HMI Enabling Practical Autonomous Robot Direction (SHEPARD)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: A15032

    Despite demonstrated successes, significant barriers remain to the widespread integration of unmanned systems into military operations. Current control schemes require a trained operator to remotely control an unmanned system in response to a Commanders orders. This added layer of indirection increases the complexity of the command structure, introducing latency and reducing situational awareness. ...

    SBIR Phase I 2015 Department of DefenseArmy
  2. Developing and Improving Commercial Marine Algal Culture in the United States

    SBC: Maine Fresh Sea Farms, LLC            Topic: 811F

    Maine Fresh Sea Farms (MFSF) will build a multi-species, multi-season prototype farm with the goal of having crops of fresh sea vegetables available throughout the year. What isn’t utilized fresh will be dried for longer-term storage and used in other products. Our team will gather data on water quality, nutrients, light levels, and hydrodynamics to assemble profiles of key parameters that deter ...

    SBIR Phase II 2015 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Ultra-High Precision Laser Isotope Monitor for I3CO2, CO180 and CO170

    SBC: AERODYNE RESEARCH INC            Topic: 831RC

    Greenhouse gas (GHG) emissions are primary drivers of global climate change. Hence there is a crucial need to quantify their sources and sinks. A powerful method to constrain source and sink strengths is the analysis of the relative proportions of isotopic variants of GHG’s in atmospheric samples like those collected globally by NOAA’s Cooperative Air Sampling Network. Measurements that are ca ...

    SBIR Phase II 2015 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Multi-Purpose Above Surface/Below Surface Expendable Dropsondes (MASED)

    SBC: BOSTON ENGINEERING CORPORATION            Topic: 842W

    There are currently no inexpensive, expendable air-deployed monitoring systems (Dropsondes) that measure atmospheric data and oceanographic as a function of depth. These are important data in predicting the intensity and path of hurricanes. Boston Engineering proposes to provide NOAA with a solution to this challenge with the Multi-Purpose Above Surface/Below Surface Expendable Dropsonde (MASED) p ...

    SBIR Phase II 2015 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Rapid and Low-Cost Field Toxin Analysis to Monirot Harmful Algal Blooms

    SBC: GINER INC            Topic: 812N

    During the harmful algal blooms (HAB), marine algal toxins reach concentrations high enough to cause various neurological and gastrointestinal disorders through inhalation of the toxin or consumption of contaminated shellfish. Brevetoxins, produced by dinoflagellate Karenia brevis, are known to disrupt neurological processes to cause an illness called neurotoxic shellfish poisoning. The timely rec ...

    SBIR Phase I 2015 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Supporting Local Decision Making through a Comprehensive Community Driven Data Tool

    SBC: Industrial Economics, Incorporated            Topic: 851X

    A central part of NOAA’s mission is to develop and distribute scientific data, including large-scale climate, weather, marine, and coastal information for regional and national analysis. NOAA has also developed local data gathering tools on an as-needed basis. While these approaches demonstrate the power of local data collection, no existing tool meets the broad needs of environmental community ...

    SBIR Phase I 2015 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Multimodal Interface for Natural Operator Teaming with Autonomous Robots (MINOTAUR)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: A13068

    The Armed Forces have a clear need for unmanned ground vehicles (UGV) that can autonomously accompany a soldier or vehicle during maneuvers through complex environments. Such UGVs will help solve logistical problems such as individual soldiers needing to transport more equipment and supplies than they can carry in a backpack. While various semi-autonomous leader-follower prototypes have been devel ...

    SBIR Phase II 2015 Department of DefenseArmy
  8. Scalable High-Power UV Laser Diode Array

    SBC: CORCORAN ENGINEERING, INC.            Topic: A13093

    In the proposed project, we will design, fabricate, and demonstrate a prototype UVA laser module with greater than 0.5W output power. The laser source will consist of a semiconductor laser array that has been coherently combined using a Self-Fourier (SF) cavity. The laser output will be a diffraction-limited beam with an M2 less than 1.2. The results of this project will demonstrate a clear path t ...

    SBIR Phase II 2015 Department of DefenseArmy
  9. Cyber Attacker and Network Vulnerability Analysis and Simulation (CANVAS)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: A14029

    Modern adversaries have become more proficient at cyber attacks against our militarys cyber networks. Although the Army has expended significant resources addressing threats in the cyber domain, current defense efforts are largely reactive. Augmenting our cyber defenses with tools that proactively analyze the intentions and behaviors of our adversaries and predict the most likely attack vectors on ...

    SBIR Phase II 2015 Department of DefenseArmy
  10. Thermal Bioaerosol Cloud Tracking with Bayesian Classification

    SBC: PHYSICAL SCIENCES INC.            Topic: A13098

    Physical Sciences Inc. (PSI) proposes the development of a processing system based on a Recursive Bayesian Classifier (RBC) for detection, tracking, and classification of biological clouds using imagery from existing uncooled thermal imagers. This solutio

    SBIR Phase II 2015 Department of DefenseArmy
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