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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
Smart Baseplate for Additive ManufacturingSBC: Luna Innovations Incorporated Topic: DLA18A001
Additive manufacturing (AM) has rapidly evolved into a valuable technique for making parts which, at times, cannot be fabricated through conventional machining methods, or for fabrication of small quantities of complex parts. One challenge in the area of AM is the lack of real-time feedback on the fabrication process and the quality of the part being made. This is especially critical given the rel ...STTR Phase II 2019 Department of DefenseDefense Logistics Agency
A Novel, Microscale, Distributable Sensor Technology for Ionizing RadiationSBC: CFD RESEARCH CORP Topic: DTRA14B004
Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...STTR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
Functional Engineering of a Photosynthetic Desalination Pump CircuitSBC: Phytodetectors, Inc. Topic: G
Phytodetectors will design and engineer a synthetic biological pump circuit to increase the volume of water produced via photosynthetic desalination. This project builds off previous technology designed by Phytodetectors: a mangrove-inspired ultra-filter that allows plants to purify salt water as well as secrete water with properties comparable to bottled water. The partnership seeks to demonstrat ...STTR Phase II 2021 Department of EnergyARPA-E
Computer Vision Image Interpretation for 3D Model ReconstructionSBC: TOYON RESEARCH CORPORATION Topic: DTRA18B001
Toyon Research Corporation (Toyon) and the University of California, Santa Barbara (UCSB) propose research, development, and demonstration of algorithms and an efficient software prototype for 3D model reconstruction using single images collected via remote sensing. In particular, the effort is focused on processing of high-resolution commercial satellite images for 3D reconstruction of buildings. ...STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency
Integrated CircuitsSBC: NU TREK INC Topic: DTRA20B002
The Nu-Trek team is proposing to develop µDet, a low Size, Weight, and Power (SWaP) read out integrated circuit (IC) for gamma and neuron detectors. µDet offers pulse shape digitization, which in turn enables gamma-neutron discrimination. This is a game changing capability that brings laboratory-level functionality to the field. In Phase I the Nu-Trek Team will develop a baseline design for the ...STTR Phase I 2021 Department of DefenseDefense Threat Reduction Agency
A Broadband and Compact Dual Comb Spectrometer for Precise Field Detection of Trace Elements and ChemicalsSBC: OPTICSLAH, LLC Topic: DTRA20B003
There is a growing need to accurately characterize nuclear materials not only for nuclear safeguards and nonproliferation treaty verification but also for forensics and provenance. Presently, nuclear material identification requires samples to be collected and sent to laboratories for analysis using large and expensive equipment, such as inductively coupled plasma mass spectrometers (ICP-MS) or se ...STTR Phase I 2021 Department of DefenseDefense Threat Reduction Agency
Improved Identification of the function of Novel and Partially Occluded Laboratory EquipmentSBC: NOVATEUR RESEARCH SOLUTIONS LLC Topic: DTRA19B002
This STTR Phase II project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase II effort will focus on dev ...STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency