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Award Data
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.
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A Location-based Weather Threat Tracking and Notification System
SBC: CFD RESEARCH CORPORATION Topic: 834TECHNICAL ABSTRACT: CFDRC proposes the creation of an innovative location-based threat tracking and notification system to allow users to receive hazardous weather messages from the NWS with their call to action, allow users to receive custom-tailored messages about threats, and visualize relevant weather information within their area. The focus is on a tool that allows this information to be comm ...
SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration -
Group 2 (<55lbs) Unmanned Aerial System for Special Operations Forces Tactical-Level Intelligence, Surveillance, and Reconnaissance Operations
SBC: Knight Technical Solutions, LLC Topic: SOCOM172005The proposed Group 2 UAS is a long endurance fixed wing aircraft, a secure communications system and a portable ground station. The light weight aircraft features a high aspect ratio wing and is powered by an electric ducted fan for maximum efficiency. The modular aircraft system is one man portable and designed to be packed out on a molle backpack configuration. The conceptual airframe design ...
SBIR Phase I 2018 Department of DefenseSpecial Operations Command -
System for Nighttime and Low-Light Face Recognition
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: SOCOM18A001The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command