You are here
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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.
SBC: BHAWIN LLC Topic: SOCOM222001
In Phase I project, Bhawin LLC aims to develop the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understanding o ...SBIR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: QUANTUM RESEARCH INTERNATIONAL, INC. Topic: SOCOM222002
The objective of this feasibility study is to assess the concept of using LiDAR to detect, track, and identify sUAS threats assisted by Artificial Intelligence (AI) agents. Inherent in this objective is concept development and feasibility assessment of Machine Learning (ML) and AI algorithms for creation and use of LiDAR target profiles for sUAS surveillance and identification. This objective will ...SBIR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: CENITH INNOVATIONS LLC Topic: SOCOM222002
Special Operations Command is responsible for many of our nation's most critical, no-fail missions, yet the rapid rise of Unmanned Aerial Systems (UAS) is forcing rapid adaptation in the ways these forces can detect, track, and characterize these threats. Our vision is to explore the art of the possible, pairing portable commercial LiDAR sensors with Computer Vision and Deep Learning algorithms to ...SBIR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: SOCOM222002
Frequency-modulated continuous wave (FMCW) lidar is the optimal solution for cost-appropriate ground-based imaging and discrimination of small UAS at the 3 km range. In this effort Polaris will first design and assess various FMCW lidar system configurations for SOCOM’s use case. Second, Polaris will employ an innovative approach to machine learning (ML) in which innovative techniques which offe ...SBIR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: PROGRAMS MANAGEMENT ANALYTICS & TECHNOLOGIES INC Topic: SOCOM22DST01
Multi-Dimensional Event Sourcing & Correlation - Publicly Available Information (PAI) (MDESC-P) will support collection jointly across disparate PAI sources with coordinated cueing of more constrained intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) sources. The primary objective for MDESC-P is to deliver a scalable and automated PAI collection management solution using a ...STTR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: INTELLISENSE SYSTEMS INC Topic: SOCOM213004
To address the USSOCOM need for a transparent in-vehicle display screen, Intellisense Systems, Inc. (Intellisense) proposes to develop a new Transparent Armor Nanostructure Display (TAND) system to enhance crew situational awareness, reduce cognitive workload, and eliminate in-vehicle stand-alone displays. This compact transparent armor (TA) display system is based on the unique combination of a f ...SBIR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: SOCOM21C001
The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...STTR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: INTELLISENSE SYSTEMS INC Topic: CBD212001
To address the Chemical and Biological Defense (CBD) agency’s need for a new deep learning (DL)-based threat detection solution that fuses imaging sensors and chemical/biological sensors to detect and locate concealed chemical threats, Intellisense Systems, Inc. (Intellisense) proposes development of a new Chemical-Imaging Registration and Multimodal Analysis (CIGMA) solution. CIGMA will compris ...SBIR Phase I 2022 Department of DefenseOffice for Chemical and Biological Defense
SBC: CONNECTICUT ANALYTICAL CORP Topic: CBD212003
The recent COVID-19 world pandemic demonstrates most effectively the urgent need for near real-time detection of ambient airborne pathogens. It has been demonstrated that electrospray ionization, utilized in many mass spectrometers today, has the unique ability to capture bioaerosols non-destructively out of the air for subsequent interrogation. This proposal leverages on this electrospray capture ...SBIR Phase I 2022 Department of DefenseOffice for Chemical and Biological Defense
SBC: CFD RESEARCH CORPORATION Topic: SOCOM222001
The modern warfare environment has demonstrated an ever-increasing need for electrical power and energy carrying capacity. Soldiers are now expected to carry in excess of 20lbs of batteries for a 72-hour mission. This weight only increases when operating specialized equipment such as communication, targeting, or mobility equipment. As a consequence, lithium-ion (Li-ion) battery packs have become t ...SBIR Phase I 2022 Department of DefenseSpecial Operations Command