You are here
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.
-
Live and Continuous Monitoring of Metal Cylinders and Tanks using Distributed Carbon Nanomaterial-based Sensing Networks
SBC: MCET TECHNOLOGIES LLC Topic: 22PH1This SBIR effort proposes using live and continuous monitoring of metal tanks, pressure vessels, and pipelines using carbon nanomaterial-based sensing skins to detect excessive physical strains, cracks, and to inspect impact damage. The proposed research and development work leverages 15+ years of fundamental research. The key objective is to advance the TRL level and the scalability of carbon nan ...
SBIR Phase I 2022 Department of Transportation -
Assured Connected and Automated Vehicle (CV/AV) Navigation
SBC: COHERENT TECHNICAL SERVICES, INC. Topic: 21FH4Assured CA/AV Navigation is a network of receiver-detectors with the ability to communicate reliable and accurate vehicle positioning integrity information for safe operations to individual users. The network approach provides density and sensitivity to rapidly detect and communicate relevant information to impacted vehicles. The solution will develop a highly capable and cost-effective network of ...
SBIR Phase I 2021 Department of Transportation -
Battery Logistics Integrated Safety System (BLISS)
SBC: ENERGY STORAGE SAFETY PRODUCTS INTERNATIONAL LLC Topic: 21PH1ESSPI will continue development of a Battery Logistics Integrated Safety System (BLISS). BLISS is a unique solution to lithium-ion battery transport and storage safety challenges such as fire and explosion. BLISS dramatically improves safety during battery logistics, aligns with current logistics processes (non-disruptive), and provides a cost-effective battery packaging system that meets current ...
SBIR Phase I 2021 Department of Transportation -
KAIZEN: Knowledge Aware Intelligent Zero-shot Explainable Multi-Modal Network
SBC: Intelligent Automation, Inc. Topic: NGA203005Detecting relevant objects of interest in large datasets using artificial intelligence techniques is very appealing. However, most state of the art approaches use deep neural network techniques -- requiring millions of human annotated training examples. These datasets mostly come from academia and don’t transfer well to novel domains. Even with the use of smaller annotated datasets and an applic ...
SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency -
Development of ZTF Occupant Detection System
SBC: Zeteo Tech, Inc. Topic: 20NH1Zeteo Tech, Inc. and FLIR Systems will develop a concept for the Development of ZTF Occupant Detection System. ZTF will use a rigorous systems engineering approach to mature the ZTF Vehicle Occupant Detection System conceptual design to a highly functional, cost-affordable design of a pre-product that would be developed and tested in a Phase II effort.ZTF will conduct a marketing study to evaluate ...
SBIR Phase I 2020 Department of Transportation -
Novel Algorithms for Remote Nuclear Detection and Classification
SBC: Applied Research LLC Topic: NGA192002We propose a novel software system for remote nuclear detection and classification. First, we propose to apply GADRAS or GEANT4 to generate training data for different combinations of nuclear materials and detectors. The training data contain spectral shapes of different detector responses. Second, we propose to use a Continuous Wavelet Transform (CWT) based technique for peak detection in spectr ...
SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Deep Reinforcement Learning for High-fidelity Vehicle Motion Simulation
SBC: Intelligent Automation, Inc. Topic: NGA192004NGA seeks to incorporate Artificial Intelligence (AI) and Machine Learning (ML) to Intelligence, Surveillance and Reconnaissance (ISR) missions in the aim to capture fleeting targets, thus a large amount of dynamic scenes with accurate target motions and behaviors will be needed for training and performance evaluation. Traditional microscopic model based approach for vehicle activity simulation i ...
SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Automated, Drone-Based Grade Crossing Inspection
SBC: MTRI INC Topic: 190FR6There is a need and opportunity for an easily deployable, flexible, high-resolution system that can increase the speed, safety, and ease of evaluating grade crossings wherever they are found. Advancements in the capabilities of unmanned aerial systems (UAS or “drones”), combined with more flexible flight rules from the Federal Aviation Administration have been enabling more widespread testing ...
SBIR Phase I 2020 Department of Transportation -
Investigation of Traction Motor Failure Modes and Monitoring Methods
SBC: FORCING FUNCTION LLC Topic: 190FR5The prevailing approach to train maintenance is to service trains on a time or mileage basis. While the basis for such activities is based on empirical failure data it does not take into account if parts or components actually need replacing and it does not prevent component failure in service should that occur between scheduled maintenance points.The principles of Condition Based Maintenance have ...
SBIR Phase I 2020 Department of Transportation -
Video Tagging and Interpretability Rating (VTIR) Toolkit Assisting VNIIRS Ground Truth Experiment
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: NGA191002The Video National Imagery Interpretability Rating Scale (VNIIRS) defines different levels of interpretability based on the types of tasks an analyst can perform with videos of a given VNIIRS rating. DoD users of motion imagery rely on NGA to rate the interpretability of motion image clips and understand the factors affecting the VNIIRS of operational imagery. To develop and validate and verify an ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency