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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.
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Processes for Fabrication of Atomically Precise Strongly Correlated Materials
SBC: XALLENT INC. Topic: ST17C002Developing knowledge-driven nanoelectronics for military applications requires understanding the fundamental physics that governs the behavior of the underlying materials. Strongly correlated materials have very desirable properties such as interfacial superconductivity, ferroelectricity, ferromagnetism, and huge magnetoresistance, which make them an ideal set of candidates to integrate with semic ...
STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency -
Visual Relative Navigation via Intelligent Ephemeral Relationships (VRNIER)
SBC: TOYON RESEARCH CORPORATION Topic: ST18C006As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, the they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many ...
STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency -
Pathogen Classification Tool (PaCT)
SBC: STOTTLER HENKE ASSOCIATES, INC Topic: ST18C002Stottler Henke proposes PaCT, leveraging our related past work in computer vision and machine learning. Drawing from techniques used in ExPATSS, a Phase II SBIR effort slated for transition to the Naval fleet, PaCT will perform bacterial characterization using features derived from the phenotype of the bacteria. PaCT will predict bacterial characteristics such as pathogenicity, antibiotic resistan ...
STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency -
Complex Networks for Computational Urban Resilience (CONCUR)
SBC: Perceptronics Solutions, Inc. Topic: ST17C003CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...
STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency -
SWAT- Scalable W(R)ubber through Advanced Technology
SBC: EnergyEne Inc. Topic: ST18C001Opportunity: Guayule, a US native plant, is the only alternate rubber crop with an established, mechanized, agronomic system. Problem: Low rubber yields and lack of effective resin and bagasse coproduct valorization, have prevented widespread adoption by American farmers and processors. Rubber is only made when the cytoplasmic monomer pool (isopentenyl-pyrophosphate; IPP) is larger than that requi ...
STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency -
Development of Autonomous Glycemic Control Mechanism for Patients Suffering Glycemic Abnormalities as a Result of Critical Illnesses
SBC: PROFUSA, INC. Topic: ST18C004The use of continuous glucose monitors can be an invaluable management tool for patients afflicted by glycemic variability due to critical illness or trauma. Maintaining stable glucose levels enhances health and lowers care costs, and individuals equipped with continuous glucose data have significantly improved outcomes. Profusa has developed highly miniaturized, injectable, tissue-like, glucose s ...
STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency -
Optimizing Human-Automation Team Workload through a Non-Invasive Detection System
SBC: Cognionics, Inc. Topic: ST16C003This STTR project aims to assess the feasibility of using laryngeal EMG to detect operator workload and strain. Phase I will develop a wearable neckband device positioning an array of laryngeal EMG electrodes plus additional sensors for measuring masseter EMG, heart rate variability, GSR and estimated relative blood pressure. The neckband will be optimized to be both wearable, comfortable and resi ...
STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency -
Nonintrusive Detector of Acute Cognitive Strain (DACS)
SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC Topic: ST16C003Modern defense systems place high cognitive demands on warfighters, often taxing the limit of human capabilities and causing operators to suffer Acute Cognitive Strain (ACS), wherein performance deteriorates markedly, leading to a loss of situational awareness and control, and decrements in team cooperativity. ACS leads to physiological changes driven by sympathetic system activation, including i ...
STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency -
Optimizing Human-Automation Team Workload through a Non-Invasive Detection System
SBC: STOTTLER HENKE ASSOCIATES, INC Topic: ST16C003We propose to investigate, in collaboration with the Massachusetts General Hospital Voice Center and Altec, Inc., the application of surface electromyography (sEMG) to assessing cognitive workload, strain, and overload. Specifically, sEMG sensors placed on the face and neck will detect emotional/motor responses to workload strain. The proposed effort will build on the substantial sEMG experience o ...
STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency -
System for Nighttime and Low-Light Face Recognition
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: SOCOM18A001The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command