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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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On-Orbit Object Acquisition: Autonomous Debris Capture / Autonomous Non-Cooperative Target Capture
SBC: TARGET ARM INC Topic: AF21STCSO1Target Arm proposes a feasibility study for developing Non-Cooperative Target Capture (NCTC) with a space-based adaptation from an Unmanned Aerial Systems (UAS) Universal Launch and Recovery (ULaR) platform for debris/adversary micro-satellite capture. Ou
STTR Phase I 2022 Department of DefenseAir Force -
Adhering Arms Architecture for Unprepared Surface Capture
SBC: KALL MORRIS INCORPORATED Topic: AF21STCSO1To address the U.S. Space Force’s need for grappling of uncontrolled and unprepared objects, Kall Morris Inc (KMI) is developing the REACCH soft-capture end effector, which provides secure control of RSOs to support the warfighter. The REACCH end effector
STTR Phase I 2022 Department of DefenseAir Force -
Permanent Attachment of Supplementary Module to RSO Analysis
SBC: KALL MORRIS INCORPORATED Topic: AF21STCSO1To address the U.S. Space Force’s need for RSO servicing and remediation capabilities, Kall Morris Inc (KMI) is developing methods to permanently attach supplementary modules to RSOs to provide multiple capabilities that support the warfighter. This attac
STTR Phase I 2022 Department of DefenseAir Force -
RSO Collection and Processing Station Optimization Analysis
SBC: KALL MORRIS INCORPORATED Topic: AF21STCSO1To address the U.S. Space Force’s need for cost-effective active debris removal, Kall Morris Inc (KMI) is developing a deterministic optimization algorithm that provides the orbital parameters for an optimal collection point in which a processing space station could be placed. These parameters are vital to achieving widespread remediation of the orbital debris problem, as bringing multiple RSOs ...
STTR Phase I 2022 Department of DefenseAir Force -
SpaceWERX Orbital Prime
SBC: KARAX LLC Topic: AF21STCSO1Life-time prediction and reliability of composites performance under combined high-intensity radiation and thermal effects is of significant interest in space industry. By developing a modular platform for systematic coupling of different damage models,
STTR Phase I 2022 Department of DefenseAir Force -
SLOW-JAMS: SLAM using Low-Power LiDAR and JAM Systems
SBC: INTEGRAL & OPEN SYSTEMS, INC Topic: AF21STCSO1Identification and Significance of the Innovation The US Space Force has identified a need to keep the space environment safe for US assets, requiring the ability to clear debris and derelict satellites in GPS-denied environments. Navigating orbital mechanics is a delicate dance during final approach and capture of a resident space object (RSO), especially in a GPS-denied environment. Simultaneous ...
STTR Phase I 2022 Department of DefenseAir Force -
QuickSAT/VMS and the SHERLOCK-MD System, An AI Architecture For In Situ Vehicle Monitoring And Testing On the EarthScan-TSS Space Tether Mission
SBC: SCI_ZONE INC Topic: AF21STCSO1sci_Zone and Johns Hopkins University are proposing QuickSAT/VMS and SHERLOCK-MD, a system for Vehicle Health Management, vehicle inspection-sensing-characterization, and Fault Detection with Fault Classification Functions. QuickSAT/VMS, a flight proven e
STTR Phase I 2022 Department of DefenseAir Force -
Establishing Common Ground between Humans & Machines Pitch Day for Trusted Artificial Intelligence
SBC: SONALYSTS INC Topic: AF21BT002Across the military services and into the commercial sector, there is an increased focus on teaming human operators, maintainers, etc. with intelligent agents to improve system performance. For these hybrid teams, developing, communicating, and maintaining a shared situation assessment is critical to properly calibrating human trust of the intelligent agent’s input and maximizing the performan ...
STTR Phase I 2022 Department of DefenseAir Force -
Improving Military Common Ground Interactions with Computational Model Alignment
SBC: SOAR TECHNOLOGY INC Topic: AF21BT002Human teams quickly communicate by referencing common ground, beliefs that team members share and know they share, to shortcut explicit statements and provide timely information. Partners can monitor for evidence of understanding during communication and take the other’s perspective, interactively aligning mental models. However, deployed human-machine teaming (HMT) agents do not use common grou ...
STTR Phase I 2022 Department of DefenseAir Force -
Compact, Low-Cost THz Test System
SBC: TeraMetrix, LLC Topic: AF12BT08ABSTRACT: In this Phase I STTR project, we propose to demonstrate the feasibility of developing a low cost, compact, time-domain terahertz (TD-THz) spectrometer specifically for the characterization of semiconductor materials over a range of temperatures, electric fields, and magnetic fields. In phase I, we will configure fiber optic coupled TD-THz instrumentation to make measurements on a sampl ...
STTR Phase I 2013 Department of DefenseAir Force