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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)
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A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
Target Recognition and Acquisition in Complex Environments (TRACE)SBC: TOYON RESEARCH CORPORATION Topic: HQ085021S000108
The Space Development Agency’s (SDA) Tracking Layer is tasked with providing global indications, warning, tracking, and targeting of advanced missile threats, including hypersonic missile systems. They are currently leading the development of an Overhead Persistent Infrared (OPIR) Missile Tracking satellite constellation in LEO as part of the DoD’s future threat-driven National Defense Space A ...STTR Phase I 2021 Department of DefenseSpace Development Agency
KMI-aware Mesh Network NSA Certifiable Cryptographic SolutionSBC: Arkham Technology Limited Topic: HQ085021S000106
With incoming hypersonic and ballistic threats, the Optical Intersatellite Link (OISL) system must transfer large quantities of data in real-time across a mesh network of satellite crosslinks, and back-and-forth with the ground. Very high-speed, low-latency, mesh network encryptors are available on the ground; however, no interoperable National Security Agency (NSA) certified devices currently exi ...STTR Phase I 2021 Department of DefenseSpace Development 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
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
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
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