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: 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: 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: 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
SBC: STREAMLINE AUTOMATION LLC Topic: SOCOM22DST01
Quantum technology will become a key enabler of future Air Force superiority. Topological insulator (TI) qubits are inherently stable and fault-tolerant because they exploit local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum states. Wake Forest University and Streamline Automation have been working collaboratively for the last se ...STTR 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: DEEP LABS INC Topic: SOCOM22DST01
Deep Labs recognizes USSOCOM’s challenge to process multiple data and communications inputs for optimized decision making, and to support rapid on-the-move abilities to learn and communicate knowledge to enhance tactically relevant situational awareness in peer/near peer environments. Deep Labs has proven this capability across complex challenges in the world’s largest commercial enterprises a ...STTR Phase I 2022 Department of DefenseSpecial Operations Command