You are here
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.
-
Precision Automated Instrumented Landing Survey
SBC: INTELLISENSE SYSTEMS INC Topic: AF192006The United States Air Force (USAF) relies on the Federal Aviation Administration (FAA) as its sole service provider for commissioning flights for all navigation aids (NAVAIDs), including the Deployable Instrument Landing System (D-ILS). If the D-ILS is not properly calibrated, the certification of the runway can take excessive time, causing excessive cost build-up and delayed certification, or can ...
SBIR Phase II 2022 Department of DefenseOffice of the Secretary of Defense -
Field Programmable Gate Array (FPGA) Physical Unclonable Functions
SBC: Lewis Innovative Technologies, Inc. Topic: OSD10A02LIT accomplished all Phase I goals and technical objectives. In Phase I LIT produced an effective Random Number Generator (RNG) and tested two PUF designs. The PUF designs showed greatly improved Entropy and Stability over other technologies. LITs Entropy Goal for Phase II is 100% (already proven by analysis) and the Stability goal is one bit error per million bits. In Phase II LIT will ma ...
SBIR Phase II 2012 Department of DefenseOffice of the Secretary of Defense -
APU Silencing Technology Development
SBC: GREAT LAKES SOUND & VIBRATION INC Topic: OSD10EP3The proposed effort will result in an "universal" fan noise cancellation system for use with high performance fans used extensively in defense applications including auxiliary power unit (APU) applications. Fans are a critical noise source that impact the audible detection range of the platform. The importance of the fan noise for detection continues to increase as other technology improvements ...
SBIR Phase II 2015 Department of DefenseOffice of the Secretary of Defense -
Countermeasures to Malicious Hardware to Improve Software Protection Systems
SBC: Clear Hat Consulting, Inc. Topic: OSD10IA1The availability and low cost of COTS software and hardware components has resulted in their deployment across a wide array of critical defense and industry applications. Clear Hat focused their Phase 1 effort on developing countermeasures for malicious hard disk firmware. Although we will continue our research and development of technologies designed to ensure the integrity of disk drive firmware ...
SBIR Phase II 2012 Department of DefenseOffice of the Secretary of Defense -
Contextual Anomaly Management Interface (CAMI) for Autonomous Systems
SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC. Topic: OSD12AU1To deal with the increasingly complex, dynamic and unpredictable operational environments of the 21st century, unmanned and autonomous system, sensor, and vehicle technologies are being expanded and improved. For example, unmanned air, ground, and maritime systems provide an expanding set of capabilities, such as intelligence, detection, security, targeting, and strike, while reducing the risk to ...
SBIR Phase II 2015 Department of DefenseOffice of the Secretary of Defense -
ADS FORCE PHASE II: Assessment and Development Strategies FOr team Rapid Cognitive Effectiveness
SBC: APTIMA INC Topic: OSD10CR4Current military combat operations emphasize the use of teams, who are often expected to rapidly deploy together. This rapid deployment cycle is especially true for military transition teams. Such teams must quickly become highly functioning, as characterized by high levels of team cognitive readiness. To address the need for newly formed teams to rapidly become cognitively ready and effective, th ...
SBIR Phase II 2012 Department of DefenseOffice of the Secretary of Defense -
High-Dynamic Target Tracking in Multi-sensor Environments
SBC: NUMERICA CORPORATION Topic: SCO182005The Strategic Capabilities Office (SCO) of OSD is leading a program to demonstrate a Hyper-Velocity Projectile (HVP) Gun Weapon System (HGWS) within the DoD. Emerging missile threats are highly agile, exhibit unpredictable behavior and are often protected by sophisticated counter-measures. To support the deployment of HVP weapon systems for defense against these threats, a comprehensive multi-targ ...
SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense -
Second Language Sustainment Training with the Tactical Language and Culture Training System
SBC: ALELO TLT LIMITED LIABILITY COMPANY Topic: OSD08CR2The purpose of this project is to develop new language training methods that help guard against language skill decay, and help recover from skill decay when it has occurred. It leverages previous DoD and ONR investments in language learning technology, but it focuses squarely on the language attrition problem. In addition to providing language training that is resistant to decay, it pays particula ...
SBIR Phase II 2011 Department of DefenseOffice of the Secretary of Defense -
Automatic Target Acquisition & Aim-Point Selection for Small Arms
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: OSD173J02The Army is seeking next-generation automatic target detection, recognition, identification, masking, tracking, and aim-point selection tools for small caliber weapons systems borne by dismounted soldiers to improve warfighter effectiveness. Accordingly, OKSI has proposed implementing state-of-the-art machine learning tools (e.g., deep learning) on ultra-low SWaP modern processors (e.g., Nvidia TX ...
SBIR Phase II 2020 Department of DefenseOffice of the Secretary of Defense -
Augmented Reality User Interfaces for Tactical Drones
SBC: Design Interactive, Inc. Topic: OSD162003XSenseAR is an augmented reality enabled drone operation and training solution. Sense AR has three main components 1) an AR visual feedback overlay of georeferenced sensory data and flight or ground operation data that is supplemented with audible feedback 2) an AR supported command and control user experience that incorporates gesture and voice recognition and 3) an AR embedded training mode that ...
SBIR Phase II 2016 Department of DefenseOffice of the Secretary of Defense