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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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Developing Software for Pharmacodynamics and Bioassay Studies
SBC: TConneX Inc. Topic: DHP16C001Thegoal is to develop asoftwaretool that implementsa novelapproach applicableto fitgeneral pharmacologic, toxicology, or other biomedical data, that mayexhibita non-monotonic dose-responserelationship for which thecurrent parametricmodels fail. Thesoftwareexplores dose-responserelationships using both monotonicand non-monotonicmodels,and estimates theassociated doseresponsecurves,which can further ...
STTR Phase II 2019 Department of DefenseDefense Health Agency -
Cervical Spine Health Improvement Products
SBC: SWITCHBOX INC Topic: DHA18B001Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck he
STTR Phase I 2019 Department of DefenseDefense Health Agency -
Electron emitting graphene based composite coating for spacecraft charging mitigation
SBC: Faraday Technology, Inc. Topic: AF18AT011Faraday and Utah State University propose to demonstrate the feasibility of utilizing electrophoretic deposition to develop graphene features with controlled functional properties in order to address the DoD need for a spacecraft charging mitigation. Implementation of such materials in DoD mission areas is anticipated to lower costs, improve sustainability, and increase readiness. The proposed Pha ...
STTR Phase I 2019 Department of DefenseAir Force -
SLACA: Self-Learned Agents for Collective Aerial Video Analysis
SBC: Intelligent Automation, Inc. Topic: AF18BT002For this STTR Intelligent Automation, Inc. teams with researchers from University of Maryland, College Park to develop SLA, a self-learned agent system for collective human activities and events in aerial videos. Aerial video analytics often faces challenges such as low resolution, shadows, varied spatio-temporal dynamics, etc. The traditional methods depending on the object detection and tracking ...
STTR Phase I 2019 Department of DefenseAir Force -
Electronically Dimmable Eye Protection Devices (EDEPD)
SBC: NANOSONIC INC. Topic: AF18BT003Through the proposed Phase I Air Force STTR program, NanoSonic and Virginia Tech will demonstrate metal organic framework materials and electrospray fabrication methods for the manufacture of eye protection devices that are capable of controlling the amount of light transmitted through the device. The objective of this program is to 1) increase the dynamic range and speed of electronically switche ...
STTR Phase I 2019 Department of DefenseAir Force -
Electronically Dimmable Eye Protection Devices (EDEPD)
SBC: ALPHAMICRON, INCORPORATED Topic: AF18BT003The team of AlphaMicron Inc. and Kent State University proposes a novel LC technology, the dynamic polarizer, as a light control system for Battlefield Airmen and Pilots. The dynamic polarizer technology shares the performance capabilities of AlphaMicron’s e-Tint LC light control technology: instantaneously fails-to-clear, millisecond switching times, and customizable tint and color. Howeve ...
STTR Phase I 2019 Department of DefenseAir Force -
High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification
SBC: UHV TECHNOLOGIES, INC. Topic: AF18BT007The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...
STTR Phase I 2019 Department of DefenseAir Force -
PRIME: PRimary Integration and Maturation of EGS
SBC: THE DESIGN KNOWLEDGE COMPANY LLC Topic: AF18BT012Legacy satellite command and control capabilities and their related telemetry operate in a largely stove piped framework. Satellites are still commanded, controlled, and communicated with their ground station in a specific constellation structure. Each ground station is unique to a given constellation and the communications and telemetry are aligned to the specific constellation, underscoring an o ...
STTR Phase I 2019 Department of DefenseAir Force -
Lasers Based on Gas Filled Hollow-Core Photonic Crystal Fibers
SBC: IRFLEX CORP Topic: AF18BT015Current continuous wave (CW) and pulse mid-wave infrared (MWIR) lasers have design and performance limitations that constrain their usability in some critical Air Force applications. There is an important need to create a new class of MWIR laser sources with less drawbacks and higher pulse energies and CW powers. The proposed work will demonstrate the technical feasibility of an innovative MWIR la ...
STTR Phase I 2019 Department of DefenseAir Force -
Real-Time Stress Biomarker Sensor
SBC: CORNERSTONE RESEARCH GROUP INC Topic: AF18CT001Research is currently identifying new biochemical markers to help monitor cognition and stress in the human body and enhance human performance. Traditional biometric markers like heart rate, temperature, oxygen partial pressure, blood glucose, electrolyte concentration, and others have been correlated with cognition and stress states. However, the correlation is indirect. Molecular biomarkers with ...
STTR Phase I 2019 Department of DefenseAir Force