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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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Hierarchical, Layout-Aware, Radiation Effects Tools Vertically Integrated into an EDA Design Flow for Rad-Hard by Design
SBC: RELIABLE MICROSYSTEMS LLC Topic: DTRA16A003The goal of this workis to establish a radiation-aware capability in a commercial EDA design flow that will enable first-pass success in radiation resiliency for DoD ASIC designs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications.Such an integrated capability does not presently exist.The ...
STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency -
Optimizing Power Availability and Sustainability in Islanded Sites
SBC: Physical Optics Corporation Topic: DTRA152006To address the DTRA need for enhanced island-mode operation and strategies for defense critical infrastructure (DCI) in the event of commercial power grid loss or disruption due to an electromagnetic pulse (EMP) or high-power microwaves (HPMs), Physical Optics Corporation (POC) has developed an Optimizing power Availability and Sustainability in Islanded Sites (OASIS) methodology. This solution is ...
SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency -
DLeN: Deep Learning for standoff detection of Special Nuclear Material
SBC: CLOSTRA INC Topic: DTRA162001Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of th ...
SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency -
Bioinformatics: Data Integration for Biomonitoring Applications
SBC: Arete Associates Topic: DTRA162002Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...
SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency -
Story Mode for Teaching Cross-Curricular Coding Projects
SBC: CODESPARK, INC. Topic: 91990019R0012In previous R&D, the developers created codeSpark Academy, a game that employs a visual and block-based approach with puzzles to teach coding skills to students ages 5 to 9 years old. codeSpark Academy is in widespread use in and out of schools around the world. In this project, the developers will expand storytelling creative tools within the existing game. The pretend-play scenarios will include ...
SBIR Phase II 2019 Department of EducationInstitute of Education Sciences -
Advanced Solutions for Radiation Susceptibility Analysis & Prediction
SBC: LUCID CIRCUIT, INC. Topic: DTRA162006With the advent of high-density low-power sub-20nm technology processes and circuits with tens-of-billions of transistors, radiation-induced single-event effects present a new set of design challenges for terrestrial applications. Developing reliable single-event effect resilient microelectronics in these modern technology nodes is a resource and time-intensive endeavor that further requires valid ...
SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency -
Tools for Memory Hierarchy Optimization on Pre-Exascale HPC Architectures
SBC: EP ANALYTICS, INC.. Topic: DTRA172003DTRA uses High Fidelity Computer Codes (HFCC) to investigate weapon effects and techniques for countering Weapons of Mass Destruction (WMD). End-to-end HFCC simulations in support of the DTRA Agent Defeat Warfighter Capability will require calculations including multiple phenomena that occur in vastly different time scales (µ-sec to hours). As DTRA becomes increasingly reliant on computational mo ...
SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency -
LabAR: An Augmented Reality Learning System for STEM
SBC: LIGHTUP, INC. Topic: 91990020R0007This project will fully develop LabAR, an augmented reality (AR) app for students to perform hands-on physical science investigations. Using the on-device camera, LabAR will augment the environment around the user with simulated instruments and equipment, real-time data visualizations, and annotations. The simulation will be designed to look and feel realistic to maximize transferability of knowle ...
SBIR Phase II 2020 Department of EducationInstitute of Education Sciences -
VR-enhanced Immersive Science Investigations into Biology and Genetics
SBC: LIGHTHAUS INC Topic: 91990020R0007Verdant will be an immersive virtual reality (VR) experience for high school biology students focusing on Mendel's investigation into the heredity of pea plants and the basis of genetics. In Verdant, students revisit Mendel's scientific process by designing and running open-ended crossbreeding experiments at the macroscopic and microscopic levels and recording results, as Mendel did, but in hours ...
SBIR Phase II 2020 Department of EducationInstitute of Education Sciences -
A User-Contextualized ROI Tool to Make Meaning of Lifetime Costs and Tradeoffs Associated with Different Degree Programs
SBC: Vantage Point Consulting Inc. Topic: 91990019R0016At the end of Phase II, the researchers will launch Return on College (ROC). Two versions of ROC will be developed. Using ROC-A, students will be able to search colleges nationwide based on geographic location and occupational goals with personalized output on projected debt, loan repayment, disposable income, graduation risk, and ROI the focal points of these decisions. Using ROC-B, prospective s ...
SBIR Phase II 2020 Department of EducationInstitute of Education Sciences