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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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Synthetic EO/IR Image Generation for Computer Vision/ATR
SBC: THERMOANALYTICS INC Topic: A234007Redacted
SBIR Phase I 2023 Department of DefenseArmy -
Ulap Automated Detection
SBC: ULAP INC Topic: A234007Redacted
SBIR Phase I 2023 Department of DefenseArmy -
Structurally Jointed Domestic Hardwood Lumber with Enhanced Durability for Trailer Decking
SBC: SUPERIOR SUSTAINABLE SOLUTIONS LLC Topic: A224014Redacted
SBIR Phase I 2023 Department of DefenseArmy -
CaptureCrete: Active, Permanent CO2 Capture and Storage for Concrete
SBC: CARBON LIMIT CO Topic: A224016Redacted.
SBIR Phase II 2023 Department of DefenseArmy -
Online and Offline Terrain Strength Estimation Using Remote Sensing for Ground Vehicle Mobility- Phase II
SBC: MTRI INC Topic: A21CT021NATO is currently developing the Next-Generation Reference Mobility Model (NG-NRMM), which is used to determine terrain strength properties for mobility. The NG-NRMM relies heavily on in-situ measurements, which is a significant limitation for traversing unknown areas and combat zones. The MTRI Inc. and MTU team recently competed the A21C-T021 Phase I Small Business Technology Transfer (STTR) proj ...
STTR Phase II 2023 Department of DefenseArmy -
Deep Focus
SBC: CLOSTRA INC Topic: A17133Redacted
SBIR Phase II 2023 Department of DefenseArmy -
GNN Swarm
SBC: CLOSTRA INC Topic: A214045Robust collaboration is needed between different agents in various Unmanned Aerial/Ground Systems (UxS). ML/AI development has enabled development of a graph neural network (GNN)-based swarm control algorithm. Clostra’s GNN-Swarm uses a GNN framework for mapping relationships between all members of a UxS swarm, and deep reinforcement learning (DRL) for organizing, training, optimizing, and ...
SBIR Phase II 2023 Department of DefenseArmy -
TRL Advancement and Expeditionary Additive Construction System for MASh Kit
SBC: GEOFABRICA INC Topic: A22013In this Phase I SBIR, Geofabrica Inc. will advance the Modular Assembly Shelter (MASh) Kit technology developed by U.S. Army’s Construction Engineering Research Laboratory (ERDC-CERL) engineers. (MASh) Kit that leverages pre-engineered construction, additive construction and 3D printing techniques. The company will develop the foundations for a method for fabricating MASh Kit components using 3D ...
SBIR Phase I 2023 Department of DefenseArmy -
Mixed Reality Trainer for Female Combat Casualty Care (MRT-FC3)
SBC: VCOM3D INC Topic: A234009For this Phase I SBIR project, Vcom3D will research and design a modular Mixed Reality (MR) medical manikin training system that builds on the Modular Healthcare Simulation and Education System (MoHSES) specifications and open-source resources. We will develop and demonstrate a proof-of-concept Mixed Reality Trainer for Female Combat Casualty Care (MRT-FC3) system that shows the concept of operati ...
SBIR Phase I 2023 Department of DefenseArmy -
A224-023 ITVR
SBC: Shock Stream LLC Topic: A224023Redacted
SBIR Phase II 2023 Department of DefenseArmy