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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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Applications of AI to ensemble forecasts of compound extreme weather events in support of operational adaptation of electric utilities
SBC: CLIMATE FORECAST APPLICATIONS NETWORK, LLC Topic: 91We propose a high-impact innovation for weather forecasting that integrates global ensemble weather forecasts with an AI-driven post-processing model of extreme weather indices. This innovation will provide the basis for skillful probabilistic forecasts of compound extreme weather events at extended lead times. Extreme weather/climate events of relevance to electric utilities focused on in Phase I ...
SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration -
Cost Reduction for Electrochemical Machining Through Hybrid Machine Learning Simulation
SBC: Voxel Innovations, Inc. Topic: N23AT019Electrochemical machining has multiple benefits for manufacturing of turbomachinery including high quality surface finish, an ability to process advanced metal alloys, no imparted stress, and scalability to deliver production affordability. Unfortunately, ECM’s adoption is limited by the up-front time, cost, and risk to demonstrate an ECM solution. This problem is particularly difficult during n ...
STTR Phase I 2023 Department of DefenseNavy -
Project Fins
SBC: DARE VENTURE GROUP LLC Topic: N222114To address the DON’s need for developing methods to produce accurate riblet profiles in outer mold line (OML) surfaces that yield significant drag savings, fuel cost savings and extended range for USN aircraft, DARE Venture Group is partnered with MicroTau to deliver that exact development related to specific US Naval aircraft requirements. This project includes objectives encompassing the resea ...
SBIR Phase I 2023 Department of DefenseNavy -
Thermal Protection System Simulation for Hardware-in-the-Loop
SBC: CORVID TECHNOLOGIES, LLC Topic: N222123Corvid Technologies, LLC (Corvid) and Georgia Institute of Technology (Georgia Tech) propose developing a framework on a modern software architecture utilizing high fidelity, state-of-the-art modeling tools to provide an accurate, but efficient, prediction of the ablating TPS material response in real-time. Three different TPS modeling approaches will be evaluated during Phase I in terms of accura ...
SBIR Phase I 2023 Department of DefenseNavy -
Nano Matrix Composites for Advanced Thermal Protection
SBC: UNITED PROTECTIVE TECHNOLOGIES LLC Topic: N222127The Thermal Protection System (TPS) materials for current hypersonic vehicles have limited structural capability in all-weather environments and a low level of manufacturing sophistication. Nanoshell Matrix Composites (NMC) are a class of materials being developed at United Protective Technologies to address the most difficult challenges faced in hypersonic environments. NMC materials allow the pr ...
SBIR Phase I 2023 Department of DefenseNavy -
Development of Hypersonic Glide Body Deployable Antennas
SBC: CORVID TECHNOLOGIES, LLC Topic: N222128The limited available space on the body of a hypersonic glide vehicle as well as the extreme aerodynamic and aerothermal environment it experiences presents a significant design challenge for mounting antenna systems. The surfaces of the hypersonic vehicle are subjected to extremely high temperatures (>1000 °C) and require aerothermal protection systems on top of the lightweight, high-strength st ...
SBIR Phase I 2023 Department of DefenseNavy -
A comparative study of seamless versus traditional seamed mesh garments utilizing industry standard state-of-the-art knitting machinery
SBC: INNOVAKNITS LLC Topic: N231002Innovaknits, LLC (IK) is a contract manufacturing company specializing in flatbed knitting. We have both product development and production services located in Conover, NC. IK will collaborate with North Carolina State University’s Wilson College of Textiles (NCSU), specifically Zeis Textile Extension (ZTE), as a subcontractor, focusing on their extensive knitting laboratory and physical textile ...
SBIR Phase I 2023 Department of DefenseNavy -
RF Measurement And Planning (RMAP) Tool
SBC: VADUM INC Topic: N231004Vadum will develop an RF Measurement and Planning (RMAP) tool that combines aspects of both RF mission planning and real-time sensor-informed spectrum management to facilitate spectrum sharing in both training and deployed mission environments. In the planning phase, RMAP uses proven propagation models, computationally efficient surrogate modeling, and known or measured emitter locations to optima ...
SBIR Phase I 2023 Department of DefenseNavy -
Next Generation Toolsets for Weapons Separation Evaluations to Enable Enhanced Strike Capabilities
SBC: CORVID TECHNOLOGIES, LLC Topic: N231006Corvid Technologies proposes to provide Naval Air Warfare Center Aircraft Division’s (NAWCAD) a replacement to their NAVSEP FORTRAN toolset, which will reduce programmatic risks by reducing per-analysis manpower requirements and allow for more rapid and complex autopilot integration. The proposed approach is to leverage significant pre-existing knowledge and capabilities to develop a highly para ...
SBIR Phase I 2023 Department of DefenseNavy -
Perceptually Lossless Unmanned Underwater Vehicle (UUV) Sensor Data Compression
SBC: CORVID TECHNOLOGIES, LLC Topic: N231038Data through water transfer rates are generally low due to limited bandwidth. The sonar images must be efficiently compressed to increase onboard storage and enable large amounts of data through water transfer. Mathematically, the sonar images can be viewed as a linear combination of some appropriate Green’s functions. Thus, they are highly coherent correlated and the associated matrices are ran ...
SBIR Phase I 2023 Department of DefenseNavy