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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 Collaborative Interface for Teacher-Student Interaction in Virtual Environments
SBC: STRANGE LOOP GAMES INC. Topic: edIES17R0005In prior projects, including a 2015 ED/IES SBIR award, the team developed two immersive multiplayer virtual game environments. In Eco and Colony, middle school students collaboratively apply scientific practices within the virtual worlds to address challenges, such as the availability of resources and energy and maintaining clean water. With this Phase I funding, the team is developing a prototype ...
SBIR Phase I 2017 Department of EducationInstitute of Education Sciences -
Additive Manufacturing of All Solid-State Batteries with Novel Electrode Architectures
SBC: STORAGENERGY TECHNOLOGIES INC Topic: DTRA172005Supercapacitors have attracted considerable recent attentions due to their high-power density, and long cycle life. Unfortunately, the energy density of supercapacitors is too low to meet these applications requiring an energy supply for longer periods (hours or days). Storagenergy Technologies Inc. proposes to develop a superior all solid-state battery (ASSB) fabricated by additive manufacturing ...
SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency -
Advanced Fast Shutter for Debris Mitigation
SBC: HYPERION TECHNOLOGY GROUP INC Topic: DTRA143007In an effort to development more robust optical system coatings DTRA, in collaboration with Sandia National Labs, is working to characterize the degradation of optical materials for space systems when exposed to high intensely EUV/ cold x-rays. The experiments utilizes the Double Eagle z-pinch facility which generates high current, high voltage arc pinch plasma to produce an intense EUV and cold x ...
SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency -
AlphaBear2
SBC: SPRY FOX LLC Topic: EDIES17R0006This project team will fully develop and test AlphaBear 2, a vocabulary learning game for grade 4 to 7 students. Vocabulary is a prerequisite for academic success, as it is linked to stronger performance across academic subjects and improved reading comprehension. It is more difficult for students to participate in educational activities without understanding the key vocabulary associated with tha ...
SBIR Phase II 2017 Department of EducationInstitute of Education Sciences -
Enhancing Administrator Coaching of Classroom Teachers
SBC: Liveschool Inc. Topic: 99190018R0005Purpose: In previous research and development, the team created LiveSchool, a technology for teachers to report student behavior in their class. In this project, the team will fully develop and test ClassCoach, a dashboard for administrators to track student behavior and to recommend resources teachers can use to address student behavioral needs in their classes. Over the past several years, schoo ...
SBIR Phase II 2018 Department of EducationInstitute of Education Sciences -
Expanding Tyto Online: Earth & Space Science Quests & Sandbox for Middle School
SBC: IMMERSED GAMES INC Topic: 91990018R0006In prior research and development, the developers created Tyto Online, an online multiplayer sandbox game where middle school students engage in quests to apply life science learning. This project will extend the game by developing a prototype for the Earth and Space science domain, with a prototype including quests for the Climate and Weather topic aligned to Next Generation Science Standards (NG ...
SBIR Phase I 2018 Department of EducationInstitute of Education Sciences -
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 -
Interactive Administrator Dashboard for Improving School-Wide Behavior Supports
SBC: Liveschool Inc. Topic: edIES15R0005In prior research and development, the project team developed LiveSchool, an online platform to track student behavior. With this Phase I funding, the team will develop and test a prototype of an administrator dashboard. The dashboard will generate reports on individual student behavior patterns across classes and on the prevalence of behavioral issues across different teachers. The dashboard will ...
SBIR Phase I 2017 Department of EducationInstitute of Education Sciences -
Lithography Cost Reduction for Rad Hard Integrated Circuits
SBC: SILICON TECHNOLOGIES, INC. Topic: DTRA143008The DoD faces mounting costs for integrated circuits built with advanced technology. Our proposal addresses mixed-signal ASIC design costs and fabrication costs, notably photomask costs and photolithography costs. The ADONIS 1D design methodology has been demonstrated at technologies ranging from 130nm to 16nm. In Phase I of the program, we used ADONIS to design a reference circuit a high-speed c ...
SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency -
Machine learning for standoff detection of Special Nuclear Material (SNM)
SBC: CLOSTRA INC Topic: DTRA162001"Deep 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 t ...
SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency