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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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Immersive Virtual Reality Training for Administration of Anesthesia in the Field
SBC: SIMX, INC Topic: AFX23DTCSO1Under the Agile Combat Employment (ACE) model, disaggregated forces and small teams in austere locations will conduct operations across large geographic areas and require support from Austere Resuscitative and Surgical Care (ARSC) teams capable of providi
STTR Phase I 2023 Department of DefenseAir Force -
Building Advanced Satellite Autonomy on distributed Ledger Technology (BASALT)
SBC: BARRON ASSOCIATES, INC. Topic: AF22AT003The Building Advanced Satellite Autonomy on distributed Ledger Technology (BASALT) Phase I STTR program will establish the feasibility of employing Distributed Ledger Technology (DLT) (e.g., blockchain) to achieve multi-perspective data fusion across a network of autonomous space vehicles. Security is a paramount concern in distributed autonomy, as an attack on or failure of a very limited number ...
STTR Phase I 2022 Department of DefenseAir Force -
Secured and Robust Communications on Urban Air Mobility Networks (SRCUMAN)
SBC: SHARED SPECTRUM COMPANY Topic: AF21BT005Shared Spectrum Company (SSC) and the C4I and Cyber Center at George Mason University (GMU) develop and implement the Secured and Robust Communications on Urban Air Mobility Networks (SRCUMAN) system. SSC’s SRCUMAN is a decentralized and distributed security solution that performs validation of communications on UAM networks. It achieves low resource consumption, minimal latency, and enhanced ...
STTR Phase I 2022 Department of DefenseAir Force -
Active techniques for ground-based space domain awareness
SBC: Arete Associates Topic: AF22AT001Commercial ground-based guidestar laser systems are incompatible with military telescopes and insufficient for conditions encountered in the field. Areté and its STTR partner propose to develop an advanced Sodium Guidestar Laser System (SGLS) to demonstr
STTR Phase I 2022 Department of DefenseAir Force -
Comprehensive Study and Down-Selection of Autonomous Satellite Fault Identification Techniques
SBC: TRUSTED SPACE INC Topic: AF22AT004The United States Space Force needs a technical solution for rapidly and effectively identifying the cause of detected satellite anomalies. Recognizing that the satellite fault identification problem is inherently a Time Series Classification (TSC) problem that attempts to map time series telemetry data to specific onboard fault classes, we will conduct a comprehensive comparative assessment of a ...
STTR Phase I 2022 Department of DefenseAir Force -
UV LASER FOR RAYLEIGH BEACON
SBC: TP ENGINEERING SERVICES, LLC Topic: AF22AT001Ground-based satellite-imaging requires adaptive optics to mitigate atmospheric distortion. These systems require the use of a laser guide-star in the upper atmosphere to produce a point source which can be used to measure the atmospheric distortion to the target of interest. Closed-loop correction requires sampling the atmospheric phase distortion at ~10x the Greenwood frequency, nG, and at suffi ...
STTR Phase I 2022 Department of DefenseAir Force -
Multi-Dimensional Event Sourcing & Correlation- Publicly Available Information (PAI) (MDESC-P)
SBC: PROGRAMS MANAGEMENT ANALYTICS & TECHNOLOGIES INC Topic: SOCOM22DST01Multi-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 -
Population Behavioral Analysis at Scale, AOR Modeling
SBC: DEEP LABS INC Topic: SOCOM22DST01Deep 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 -
RAZORFISH: Real-time Augmented ZYX-aligned Operator RF/EM Integrated Scene for Hypercognition
SBC: KNOWMADICS, INC. Topic: SOCOM22DST01As electronic warfare (EW) permeates down to the small unit operations (e.g., with the proliferation of IoT devices, 5G, demand for multidomain spectrum management, and adversaries who can leverage or attack these components with malice), there is a need to bolster Operator's shared situation awareness (SSA) of the EW space that overlays the physical battlefield to enable a small unit multidomain ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
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