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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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Urbanscape: Single Shot Multi-Task 3D Reconstruction
SBC: DZYNE TECHNOLOGIES, LLC Topic: DTRA18B001Hazard assessment tools that model the transport and dispersion of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) materials through urban areas are only as good as the 3D models that inform the physics model. Maintaining accurate, up-to-date 3D models of urban areas is challenging. Even in the commercial world, urban construction and demolition may result in the models created a ...
STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency -
IA 2: Intent-Capturing Annotations for Isolation and Assurance
SBC: Immunant, Inc. Topic: HR001120S0019001Software and hardware flaws can be exploited to make programs perform unintended computations or leak sensitive data. We propose to counter these threats by isolating libraries and other program units inside a single process. The developer will insert source-level annotations that i) map code and data units to compartments and ii) capture how each compartment is intended to interact with others, i ...
STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency -
MORTIMER: Language Mechanisms and Tools for Run-TIme Memory Access Policy Enforcement
SBC: Intelligent Automation, Inc. Topic: HR001120S0019001DoD has a critical need for protecting sensitive data to make sure that only the intended, trusted programs or parts of programs can access the data. This protection must be also effective when data is loaded into memory while being processed by software. Lately, the side-channel attacks which are based on information gained from the implementation of a computer system rather than exploiting algor ...
STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency -
Visual Relative Navigation
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, 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 DoD ...
STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency -
Self-driving Modular AI-based Robot for Rough Terrain (SMARRT)
SBC: Intelligent Automation, Inc. Topic: HR001119S003523The Defense Advanced Research Projects Agency (DARPA) is seeking to utilize small reconfigurable robotic system to operate independently in unknown highly complex environments. We propose a modular reconfigurable robot, which presents several locomotion modality to handle different type of off-road environments. We proposed several configurations for the robot, which are well-suited to the type of ...
STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency -
PathEngine II: A Platform To Automate the Integration of Data To Predict Pathogenic Potential
SBC: NETRIAS, LLC Topic: ST18C002Netrias, the Texas A&M Health Science Center (TAMHSC) and the Texas A&M Engineering Experiment Station (TEES), and expert consultants will expand and extend the capabilities of PathEngine, an advanced computational platform that ingests and integrates a corpus of bacterial phenotype measurements suitable for the training of a pathogenicity machine learning algorithm. We will enhance the data integ ...
STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency -
Methane Harvesting for Seafloor Generation
SBC: MARITIME APPLIED PHYSICS CORPORATION Topic: ST18C005Clearly demonstrate that a sub-sea methane harvesting power station can be developed, deployed, and operated to produce power at the 1kW level. Show that no major hurdles remain to produce a fully functional prototype system. Such a system will harvest methane from a productive methane ocean seep and operate autonomously for several years.
STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency -
Pathogen Classification Tool (PACT)
SBC: STOTTLER HENKE ASSOCIATES, INC Topic: ST18C002Stottler Henke proposes PACT to address the threat posed by unknown/novel bacteria. Stottler Henke’s solution leverages AI/ML technologies to assess the pathogenic potential of unknown/novel bacteria for DARPA’s Biological Technologies Office. Threat assessment is inferred from phenotype as characterized by a series of assays developed by Harvard University as part of DARPA’s Friend or Foe p ...
STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency -
Hardened, Optically-Based Temperature Characterization of Detonation Environments
SBC: SA PHOTONICS, LLC Topic: DTRA19B001Improving the effectiveness of counter-WMD operations requires improved understanding of weapon-target interaction. Specifically, time-resolved measurements of temperature and composition are required to allow temporal evolution of a detonation fireball. To address this need, SA Photonics will develop MONITOR, a laser-based temperature diagnostic that will enable wide dynamic range temperature mea ...
STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency -
Improved Identification of the function of Novel and Partially Occluded Laboratory Equipment.
SBC: NOVATEUR RESEARCH SOLUTIONS LLC Topic: DTRA19B002This STTR Phase 1 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 I effort will focus on imple ...
STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency