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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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Advanced Hit Detection Systems
SBC: FREENT TECHNOLOGIES, INC. Topic: MDA13015FreEnt Technologies, Inc. (FreEnt) and Johns Hopkins Universitys Applied Physics Laboratory (APL) are proposing a multiple-hit detection sensor called the Optical Lethality Measurement System (OLMS). This system is based on the Planar Optical Penetration Sensor (POPS) technology (originally developed and patented by APL) and prior art associated with the Blast Initiation Detector (BID). The BID is ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
Decision Making under Uncertainty
SBC: GCAS, Inc. Topic: MDA13T001Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...
STTR Phase II 2016 Department of DefenseMissile Defense Agency -
Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization
SBC: EXOANALYTIC SOLUTIONS INC Topic: MDA15T001ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
Dim Target Extraction and Conjoint Tracking (DTECT) Enhancements for Missile Defense Applications
SBC: TOYON RESEARCH CORPORATION Topic: MDA12T004Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
Fine Powder Cathode and Separator Binder Characterization for Thermal Batteries
SBC: CFD RESEARCH CORPORATION Topic: MDA16T001Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders substantially improves flow properties and reduces the tendency for powder segregation during handling and pressing operations.The properties of Magnesium Oxide (MgO) that lead to good performance in thermal battery separators are n ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency -
High-Speed Simultaneous Multiple Object Detection System
SBC: FREENT TECHNOLOGIES, INC. Topic: MDA16T006FreEnt Technologies, Inc., along with A2Z Innovations, Inc. (A2Z) and the University of Alabama in Huntsville (UAH) are teaming together to design and develop a High-Speed Simultaneous Multiple Object Detection (HS-SMOD). The HS-SMOD system uses a simple but innovative technique of a passive fiber-optic grid and opto-electronic detectors to measure the initial and subsequent hit points of extremel ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency -
Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point of Care Applications
SBC: GENECAPTURE, INC. Topic: CBD15C001The modern warfighter faces the constant threat of endemic infections, multi-drug resistant bacteria and Biological Warfare Agents. In order to provide accurate front-line treatment that will curtail the overuse of antibiotics, a rapid and robust molecula
STTR Phase I 2016 Department of DefenseOffice for Chemical and Biological Defense -
Interactive Sensor Fusion for Context-Aware Discrimination
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: MDA15T001We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)
STTR Phase I 2016 Department of DefenseMissile Defense Agency -
Lightweight, Stable Optical Bench with Integrated Vibration Attenuation
SBC: SAN DIEGO COMPOSITES, INC. Topic: MDA13T007The goal of this program is to design a lightweight optical bench capable of remaining stable under temperature and moisture changes, while isolating the precision optical array from vibrations such as engine noise and air turbulence. By integrating a customizable periodic stack in the bench, vibrations are attenuated more effectively than commercially available mounts. Additionally, the periodic ...
STTR Phase II 2016 Department of DefenseMissile Defense Agency -
Methodologies for Cost-Effective Measurement of Dynamic Material Properties or Characterization of Materials under Dynamic Loads
SBC: KARAGOZIAN & CASE, INC. Topic: MDA16T003Karagozian & Case, Inc. (K&C) and the Georgia Institute of Technology (Georgia Tech) will develop a re-usable, cost-effective, and accurate dynamic characterization methodology capable of measuring the dynamic material properties of various materials of interest under very high strain rates. Materials property data for various ductile materials (e.g., steel and aluminum) are required as input to f ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency