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Award Data
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.
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Data Driven Intent Recognition Framework
SBC: OTHER LAB, INC. Topic: NSF13599A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...
STTR Phase II 2016 Department of DefenseSpecial Operations Command -
First-principles-based framework for discovery and design of sustainable non-rare-earth high-temperature alloy systems
SBC: CFD RESEARCH CORPORATION Topic: OSD12T06The aim of this STTR program is to develop protocols to discover rare-earth-free/rare-earth-lean magnetic alloys for replacing rare earth (RE) -based alloys for reducing the dependence of supply from China. The development of non-RE high temperature magnetic materials is very challenging. In Phase I, CFDRC in collaboration with its university partner has demonstrated a proof-of-concept computation ...
STTR Phase II 2014 Department of DefenseOffice of the Secretary of Defense -
Human-Centric Training and Assessment System for Cyber Situational Awareness
SBC: Scalable Network Technologies, Inc. Topic: OSD12T08The goal of the proposed work is to develop a human-centric training and assessment system for cyber situation awareness. The envisioned system will enable instructors to define training goals, design lesson plans, assign students roles in teams, and observe students performance, record events and interactions for scoring. The instructor/students can place tags (time or event) to roll back or repl ...
STTR Phase II 2014 Department of DefenseOffice of the Secretary of Defense -
Human-Machine Teaming with Machine Learning Algorithms
SBC: KITWARE INC Topic: SOCOM18B001Characterizing and understanding the interactions between human and machine plays an important role in extracting the most out of our machine learning algorithms while reducing human workload. We propose to develop a software prototype system that reduces user workload of exploiting AI algorithms for imagery exploitation. We will design a user-friendly system for content matching with interactive ...
STTR Phase II 2020 Department of DefenseSpecial Operations Command