You are here
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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.
SBC: SA PHOTONICS, LLC Topic: N16AT024
SA Photonics is pleased to propose the SOCRATES free space optical communication and sensing system featuring the Photonic Optical Multicast Mast Unit (POMMU). SOCRATES enables 360 degree multicast capability of high bandwidth communication in addition to threat search and tracking capability. SA Photonics will team with Prof. Michael Kudenov at North Carolina State University who will investigate ...STTR Phase II 2017 Department of DefenseNavy
SBC: ONAI INC. Topic: N17AT021
We propose a multi-part system to process, understand, and summarize video streams. Our approach involves processing video and audio jointly; uses the latest advances in captioning and automatic speech-recognition to construct text narratives for the video; and uses NLP techniques to summarize and produce a reliable relevance ranking of these videos. We address all six technical challenges identif ...STTR Phase I 2017 Department of DefenseNavy
Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life CalculationSBC: ATA ENGINEERING, INC. Topic: N17AT009
ATA Engineering and researchers at the Georgia Institute of Technology will develop a framework for the accurate reconstruction of rotor loads from a suite of fixed-frame fuselage sensors that are utilized to augment physics-based simulations. The loads reconstruction framework will consist of two modules: the physics module, which provides first-principles predictions from simulations, and the se ...STTR Phase I 2017 Department of DefenseNavy
SBC: MATHEMATICAL SYSTEMS & SOLUTIONS, INC. Topic: N15AT005
We propose development of a software capability which, based on use of accurate and efficient exact-physics computational electromagnetics (CEM) solvers together with CAD-import (Computer Aided Design) and direct CAD-to-EM capabilities, will enable optimization of the properties of on-platform pRFID tag/reader antenna systems. For accuracy and modeling flexibility the proposed codes are based on M ...STTR Phase II 2017 Department of DefenseNavy
SBC: TOYON RESEARCH CORPORATION Topic: N18BT030
We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...STTR Phase I 2019 Department of DefenseNavy
Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial IntelligenceSBC: TOYON RESEARCH CORPORATION Topic: N18BT033
Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...STTR Phase I 2019 Department of DefenseNavy
SBC: Epirus, Inc. Topic: N19AT001
Epirus presents a high powered microwave source that leverages ultra high power density solid state materials, called Leonidas, to meet all of the government’s objectives for the vehicle stop and vessel stop mission. The Leonidas unit has already achieved over 10 kW of effective radiated power (ERP) in laboratory tests using software definable solid state technology and we show how this scales t ...STTR Phase I 2019 Department of DefenseNavy
SBC: GCAS, Inc. Topic: N19AT002
This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.STTR Phase I 2019 Department of DefenseNavy
SBC: Mirios, Inc. Topic: N19AT005
Mirios Inc., in collaboration with UCSB and NRL, proposes to construct a high-brightness MWIR (~4.5-4.9 µm) light source, consisting of a single silicon chip with an array of Quantum Cascade Lasers which are fully-integrated with wavelength beam combiners.STTR Phase I 2019 Department of DefenseNavy
SBC: Arete Associates Topic: N19AT010
Areté Associates, along with STTR partner Rochester Institute of Technology (RIT), are proposing a comprehensive software capability for scene generation, object insertion, and performance modeling for passive and active EO COBRA sensors over the surf zone. The Surf Zone Modeling Tool (SZT) will incorporate several technologies, including: open-source and Areté-designed SZ ocean physics models, ...STTR Phase I 2019 Department of DefenseNavy