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Award Data
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
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ALCHEMI: Attacker Learning in Cybernetworks using Heterogeneous Energy-guided Model Inference
SBC: APTIMA INC Topic: N19AT021The United States relies on networks of cyber-physical systems to conduct military and commercial operations, such as logistics, transportation, information sharing, energy production and distribution, financial transactions, elections, and infrastructure management. As the volume and diversity of cyber-attacks on these networks dramatically increase, there is a growing need for advanced tools and ...
STTR Phase I 2019 Department of DefenseNavy -
FPGA Vulnerability Analysis Tools
SBC: BLUERISC INC Topic: N19AT018BlueRISC's proposed solution takes the form of an automated toolkit that is able to analyze an FPGA bitstream with respect to exploitability. The solution relies on an FPGA-agnostic framework for automatically reverse-engineering an FPGA-bitstream into an intermediate representation (IR). This IR is FPGA agnostic and enables a program-analytic framework for extracting a fundamental FPGA-centric Vu ...
STTR Phase I 2019 Department of DefenseNavy -
Integrated photonic Raman sensor on a chip
SBC: PARTOW TECHNOLOGIES LLC Topic: N19AT023A photonic integrated spectrometer based on high-index contrast thin film platform is proposed for Raman signal processing. Raman signal generation on the chip via waveguide collection integrated with a spectrometer is proposed to increase the efficiency and signal to noise ratio and significantly reduce cost and the size of Raman sensor systems. All components of the proposed Raman detection syst ...
STTR Phase I 2019 Department of DefenseNavy -
Cyber Adversary Discovery Engine (CADE)
SBC: CHARLES RIVER ANALYTICS, INC. Topic: N19AT021We propose to design and build the Cyber Adversary Discovery Engine (CADE) for forensic cyber analysis. CADE combines expressive behavioral modeling technology with machine learning to automatically recognize adversary behaviors, goals and tactics, techniques and procedures (TTPs). CADE can further automatically recognize changes in adversary TTPs that occur in forensic data. A key technical capab ...
STTR Phase I 2019 Department of DefenseNavy -
Data Analytics and Machine Learning Toolkit to Accelerate Materials Design and Processing Development
SBC: CFD RESEARCH CORPORATION Topic: N19AT020Navy has identified refractory high entropy alloy (RHEA) and metal additive manufacturing as two potential areas of interest. This includes designing new RHEA and optimizing metal additive manufacturing with specific material property requirements. Developing materials and processes via applying traditional experimentation and process optimization techniques is painfully slow due to the large numb ...
STTR Phase I 2019 Department of DefenseNavy -
Multi-Functional Nanotube-Based Sensor Array for Detecting Blood Coagulation Defects
SBC: Innosense Llc Topic: DHA19A001Defense Health Agency (DHA) is seeking a multi-functional diagnostic to determine blood coagulopathy in real time at point-of-care (POC). Blood coagulopathy, resulting in uncontrolled bleeding, is implicated in 80% of operating room deaths and 50% of trau
STTR Phase I 2019 Department of DefenseDefense Health Agency -
POC Blood Coagulopathy Monitor
SBC: CFD RESEARCH CORPORATION Topic: DHA19A001Traumatic injuries account for 30% of all life years lost in the US and is the leading cause of death for people under 46 years of age. Uncontrolled bleeding or hemorrhage constitute 30-40% of trauma related deaths and are considered to be a major cause o
STTR Phase I 2019 Department of DefenseDefense Health Agency -
High Speed Spinning Scroll Expander (HiSSSE)- Organic Rankine Cycle for Increased Naval Ship Power Density and Fuel Efficiency
SBC: Air Squared, Inc. Topic: N19AT013Waste heat from Naval diesel generators provides significant opportunity to introduce organic Rankine cycles (ORC) to increase their fuel efficiency. The objective of the proposed effort is to design and demonstrate a high-speed, spinning scroll expander (HiSSSE) ORC as a power dense waste heat recovery system for diesel generators on ships. The system will leverage Air Squared’s spinning scroll ...
STTR Phase I 2019 Department of DefenseNavy -
Compact Waste Heat Recovery Power Generation System
SBC: SPECTRAL ENERGIES LLC Topic: N19AT013The STTR topic N19A-T013 seeks innovative technology to improve the power density and efficiency of propulsion and power generation devices. To address this challenge, Spectral Energies in collaboration with its academic partner Dr. Rory Roberts at Wright State University proposes to develop a compact heat recovery system based on a supercritical CO2 based Rankin Cycle. At the end of the STTR prog ...
STTR Phase I 2019 Department of DefenseNavy -
Power-Dense Electrical Rotating Machines for Propulsion and Power Generation
SBC: CONTINUOUS SOLUTIONS Inc Topic: N19AT007The primary objective is to develop electric machine/drive topologies and power architectures that achieve the power densities required for 50% more power without the increase in weight or space requirements. In addition to PMSM-based designs, two new machine topologies will be considered. The first is a trapped flux coreless (TFC) machine that utilizes superconducting pucks made of YBCO to produc ...
STTR Phase I 2019 Department of DefenseNavy