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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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System for Positioning, Navigation, Timing, Communication and Authentication (PNT-CA)
SBC: TOYON RESEARCH CORPORATION Topic: SF23AT001Navigation and communication systems have traditionally been developed separately resulting in the use of redundant hardware on the same platform for different purposes. In addition, authentication has generally been an afterthought, added on only after t
STTR Phase I 2023 Department of DefenseAir Force -
Contact Lens Integrated Physiological Sensors
SBC: HEDGEFOG RESEARCH INC. Topic: AF23AT003Tear film biomarkers have recently emerged as a promising diagnostic tool for a range of ocular and systemic diseases. Recent advances in tear film analysis have enabled the identification of specific biomarkers that can serve as reliable indicators of va
STTR Phase I 2023 Department of DefenseAir Force -
P22-080 Collaboration of Humans and Autonomy Research Teaming Testbed (CHART2)
SBC: SOAR TECHNOLOGY INC Topic: AF22BT004Joint All-Domain Command and Control (JADC2) is a paradigm necessitating modern simulation testbeds. Existing solutions address some of these task requirements, human factors constructs, and domains separately, however they are not designed for research w
STTR Phase I 2023 Department of DefenseAir Force -
AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization
SBC: KRTKL INC. Topic: SOCOM23B001krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...
STTR Phase I 2023 Department of DefenseSpecial Operations Command -
Nanoparticle On-demand Loading System
SBC: OPTO-ATOMICS CORP Topic: AF22DT006Trapped nano-scale particles are rapidly emerging as a powerful platform in high-precision sensing applications, as they can be used as highly sensitive transducers for various physical quantities. Optically levitated nanospheres in high vacuum, in partic
STTR Phase I 2023 Department of DefenseAir Force -
High-Efficiency Biphoton Source
SBC: OPTO-ATOMICS CORP Topic: SF22DT005A Quantum network takes advantage of the quantum properties of light and matter to enable secure communication, new sensing modalities, and enhanced computation. In implementing a quantum network, it is essential to efficiently generate and distribute ent
STTR Phase I 2023 Department of DefenseAir Force -
Heterogeneously integrated chip-scale biphoton sources with high heralding efficiency
SBC: NEXUS PHOTONICS INC Topic: SF22DT005We propose to develop a low SWaP, robust, turnkey entangled-photon pair source emitting at 780 nm based on a photonic integrated circuit (PIC) design that combines a tunable continuous-wave PIC (pump) laser that is heterogeneously integrated with a non-li
STTR Phase I 2023 Department of DefenseAir Force -
High Rate Bi-photons Generated with a Microresonator
SBC: OEWAVES, INC Topic: SF22DT005In this STTR program a team comprising OEwaves Inc. (OEw) and Georgia Institute of Technology (GT) proposes to research, develop and deliver a photonic integrated circuit-based heterogeneously engineered, high heralding efficiency near-infrared (operating
STTR Phase I 2023 Department of DefenseAir Force -
GeSn Infrared Detectors Grown Directly on Si Readout Integrated Circuit for FPA Integration
SBC: ALPHACORE INC Topic: AF22AT006The AF22A-T006 STTR topic “Development of Integrated Infrared Focal Plane Arrays on Si, Requiring No Hybridization” seeks to develop infrared focal plane arrays (FPAs) directly onto silicon readout integrated circuitry without hybridization, operating at
STTR Phase I 2023 Department of DefenseAir Force -
Si Integrated Focal Plane Array
SBC: ATTOLLO ENGINEERING, LLC Topic: AF22AT006Attollo proposes to develop a GeSn / Si photodiode and tune the epitaxial layers for eSWIR sensitivity in partnership with Prof. Jack Ma (U. Wisc.) and Dr. Amy Liu (IQE) to realize 2.Xµm eSWIR detectors that can be monolithically integrated with Silicon CMOS wafers, and ultimately incorporated into low SWaP-C cameras
STTR Phase I 2023 Department of DefenseAir Force