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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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Conformal Multilayered Passivation for Type-II indium arsenide/gallium antimonide Superlattice Mesas
SBC: RADIATION MONITORING DEVICES, INC. Topic: MDA14021The unique electronic properties of periodically-arranged indium arsenide/gallium antimonide (InAs/GaSb) mesas in the type-II strained layer superlattices (SLS) make them a superior alternative to the conventional HgCdTe sensors for longwave infrared focal plane array (LWIR FPA) detectors. However, despite the highly promising quantum structures of SLS, its performance is currently limited by high ...
SBIR Phase II 2017 Department of DefenseMissile Defense Agency -
Machine Learning-based Capability for Radioactive and Nuclear Threat Detection and Identification
SBC: PHYSICAL SCIENCES INC. Topic: DTRA162001Physical Sciences Inc. (PSI) proposes to develop an Advanced Learning-Enabled Threat Search (ALERTS) software to significantly enhance detection range and source classification accuracy during search for Special Nuclear Materials and other radioactive threats. The software will implement Machine Learning algorithms for automated extraction of spectral and temporal features by training on sets of g ...
SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency -
Long-range SNM detection using alternative signatures
SBC: RADIATION MONITORING DEVICES, INC. Topic: DTRA162003"Increasing the distance for standoff detection of nuclear materials, beyond that capable with direct radiation detection, using alternative signatures, such as the concentration of ionization in the surrounding atmosphere, improves the ability to locate, track and monitor this material. Ionizing radiation generates free elections, ions, and exited states in the nearby atmosphere, even when the s ...
SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency -
Plan Learning Across Textual Observations (PLATO)
SBC: LANGUAGE COMPUTER CORPORATION Topic: DTRA162004In Phase I of PLATO (Plan Learning Across Textual Observations ), Language Computer Corporation will explore how best to migrate state-of-the-art plan recognition techniques to the more complex genre of textual data addressing such issues as varied textual inputs, diverse subject matter domains, changes in agent plans and goals, unclear or underspecified temporal relationships between actions, an ...
SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency -
Data-Driven Technology Discovery Methodologies
SBC: Systems & Technology Research LLC Topic: DTRA162005We propose to develop Prediction of Emergent SCIENce & Technology (PRESCIENT), a system that mines a text corpus of scientific patents and publications to discovers emerging technologies that may impact WMD or CWMD. PRESCIENT will take as input a diverse corpus of patents and publications, including metadata about contributing authors and organizations, and will produce as output alerts with timel ...
SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency -
Thermal and Fast Neutron Multiplicity Counter
SBC: RADIATION MONITORING DEVICES, INC. Topic: DTRA162007Neutron multiplicity can provide effective detection and identification of shielded Special Nuclear Materials (SNM) based on analysis of the time correlated neutron multiplicity distribution. RMD is developing a composite detector, consisting of Cs2LiYCl6:Ce (CLYC) scintillator incorporated into dual-mode plastics, which provides an ideal solution for this task. CLYC offers (1) efficient thermal ...
SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency -
Portable, Fieldable, Non- Helium-3 Based Neutron Multiplicity Counter
SBC: PROPORTIONAL TECHNOLOGIES, INC. Topic: DTRA162007Neutron coincidence counters are currently based on 3H technology. A worldwide 3He shortage plus the need for significant improvements in performance necessitate the development of a new class of neutron detectors. We propose the use of boron-coated straw (BCS) detectors, consisting of 4 mm diameter copper tubes lined with 10B-enriched boron carbide (10B4C). Previous studies have shown that BCS de ...
SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency -
MEMS Chip for Chemical Vapor Sampling and Analysis
SBC: AGILTRON, INC. Topic: DTRA143003Agiltron will develop a new class of chemical vapor analyzers by leveraging Agiltrons development and production of micro-electrical-mechanical systems (MEMS) products and expertise with surface-enhanced Raman scattering (SERS) analysis and film fabrication. Our approach capitalizes on integration of these separate technologies for the first time to generate a unique and novel functionality that f ...
SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency -
Encapsulated HI3O8 Microparticles Phase II
SBC: AKITA INNOVATIONS LLC Topic: DTRA143002This Phase 2 project will further develop and scale a manufacturing process for the production of 5-25 kilogram quantities of encapsulated HI3O8 with a particle size of approximately 2 m and other sizes as desired by the sponsor. This project addresses the need to develop manufacturing processes and build a production capability for the manufacture of HI3O8 a halogen-containing chemical reagent f ...
SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency -
Knowledge Exploitation and Population for Event Reasoning (KEPLER) Phase II
SBC: LANGUAGE COMPUTER CORPORATION Topic: DTRA143005In Phase II of KEPLER, we will develop a prototype Knowledge Base (KB) expansion system that employs rich common-sense knowledge resources to perform high-quality scalable inference over a KB. The system will be able to (1) extract event parameters, event constructs, ontological relationships, definitional effects and inferences, and quantitative expectations from open text and structured resource ...
SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency