You are here
Award Data
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.
-
Bounding generalization risk for Deep Neural Networks
SBC: Euler Scientific Topic: NGA20A001Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels. In an ...
STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Comprehensive Surf Zone Modeling Tool
SBC: Arete Associates Topic: N19AT010The objective of this project is to advance the capabilities of the Coastal Battlefield Reconnaissance and Analysis (COBRA) system by creating a Surf Zone Modelling Tool (SZT) that can create realistic synthetic imagery of the surf zone (SZ). Through the use of this synthetic imagery the COBRA Program will be enabled to inform concept of operations (CONOPS) in unfamiliar environments as well as mo ...
STTR Phase II 2020 Department of DefenseNavy -
Advanced Electromagnetic Modeling and Analysis Tools for Complex Aircraft Structures and Systems
SBC: HYPERCOMP INC Topic: N20BT028Under this STTR solicitation N20B-T028, the goal is to build on the strengths of HyPerComp’s development in the HDphysics suite of tools to meet NAVAIR’s requirements in solving large-scale problems in electromagnetics. One area that will receive a major attention in this effort is the development of high order curved meshes for arbitrary geometries with small- and large-scale features that ...
STTR Phase I 2020 Department of DefenseNavy -
1um heterogeneously integrated transmitter for balanced links
SBC: FREEDOM PHOTONICS LLC Topic: N20BT030In this program, we propose to adapt a new, high-performance integration platform for RF photonics to operation at 1um, and to realize integrated optical transmitters that meet the requirements of the program.
STTR Phase I 2020 Department of DefenseNavy -
Analog Optical Link using Novel Record Performance Laser, Modulator and Photodiode Technology
SBC: FREEDOM PHOTONICS LLC Topic: N20AT012In this program, Freedom Photonics and its research partner institution will demonstrate an analog optical link using novel record performance laser, modulator and photodiode technology. Preliminary designs for a miniature, deployable implementation will be conducted as well in Phase I.
STTR Phase I 2020 Department of DefenseNavy -
Conjugate heat transfer for LES of gas turbine engines
SBC: CASCADE TECHNOLOGIES INC Topic: N19BT027Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...
STTR Phase II 2020 Department of DefenseNavy -
PARTEL: Periscope video Analysis using Reinforcement and TransfEr Learning
SBC: MAYACHITRA, INC. Topic: N20AT007We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...
STTR Phase I 2020 Department of DefenseNavy -
Machine Learning for Transfer Learning for Periscopes
SBC: Arete Associates Topic: N20AT007Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop and demonstrate new approaches that improve the performance of in situ machine learning (ML) algorithms as they evolve over time, adapt to new environments, and are capable of transferring their learned experiences across platforms. Technological advances that will be brought t ...
STTR Phase I 2020 Department of DefenseNavy -
Marburg Virus Prophylactic Medical Countermeasure
SBC: MAPP BIOPHARMACEUTICAL, INC. Topic: CBD18A002There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...
STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense -
CRISIS: Knowledge Graph Based Cyber Resilience Integrated Security Inspection System
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: N20AT011Modern US Navy ships and submarines are configured with an ever-increasing level of automation, including state-of-the-art embedded wireless sensors that monitor vital system functions. However, sensor nodes have the potential to serve as targets for cybersecurity attacks or be susceptible to corruption through accidental or malicious events. To address these shortfalls and minimize vulnerabilitie ...
STTR Phase I 2020 Department of DefenseNavy