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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.

  1. Additive Manufacturing Process Monitoring and Control Technologies

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA181002

    This project aims to make Laser Powder Bed Fusion (LPBF) additive manufacturing a practical tool for supply chain management for the Defense Logistics Agency.The key step is developing process standardization to make LBPF quality vendor independent. This project will seek to demonstrate the use of a promising high speed melt pool monitoring device as a practical means to establish such process sta ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  2. Additive Manufacturing Process Monitoring and Control Technologies

    SBC: Made In Space, Inc.            Topic: DLA181002

    Made In Space, Inc. (MIS) and Siemens PLM Software propose an integrated Automated Processing. Monitoring, Control and Remediation System (Aul) to provide a process monitoring and control capability. Made In Space, Inc. leads the effort based on integrating Made In Space, Inc., proven inspection sensors systems with a Digital Thread for Additive Manufacturing (DTAM) system, co-developed by Siemens ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  3. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. Analysis, Identification, and Eradication of Mold Development in the Substance (Rations) Supply Chain

    SBC: ASSURED BIO LABS, LLC            Topic: DLA173001

    DLA Subsistence Supply Chain (SSC) experiences mold growth on wood pallets used for transportation of MRE. We propose a mold growth analysis and mitigation methodology based on supply chain, microbial monitoring and statistical techniques. The supply chain is modeled as a network of storage, production nodes and transportation links. A data collection procedure is developed to gather data related ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  5. A Universal Translator for Health Languages

    SBC: INFERLINK CORP            Topic: DHP12004

    The potential to transform healthcare management through information technology continues to grow, as more systems, devices, and people than ever before provide and collect health data. Unfortunately, progress is slow because the multitude of systems to integrate do not speak a common language. We propose to create a universal translator between health languages, which will allow multiple system ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  6. Automated Assessment of Urban Environment Degradation for Disaster Relief andReconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  7. Bayesian Urban Degradation Assessment

    SBC: INTELLISENSE SYSTEMS INC            Topic: NGA181004

    To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Biosensor and Controller for Closed Loop Anesthesia Delivery System

    SBC: Infusense            Topic: DHP12012

    Microfabricated chemical and biological sensors serve as an interface between biologic and electronic systems. Previously, through TATRC-funded research grants (W81XWH-05-2-0064, W81XWH-10-1-0358), we have investigated the behavior and detection of propofol using electrochemical (EC) methods. Using these analytical methods, we have quantified the oxidation of propofol well below therapeutic concen ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  9. Blending Ground View and Overhead Models

    SBC: Arete Associates            Topic: NGA181008

    We propose to build ARGON, the ARet Ground-to-Overhead Network. The network will ingest analyst-supplied ground-level imagery ofobjects and retrieve instances of those objects in overhead collections, providing tips back to the analysts. A proprietary method of trainingthe network, leveraging in-house capabilities, data sources, and tools, will be critical to its success. During Phase I, we will p ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Boost- A System to Suppress False Alarms from Automated Target Recognizers

    SBC: SEED INNOVATIONS, LLC            Topic: NGA181003

    Seed Innovations and subcontractor BIT Systems, a division of CACI International, apply our experience in machine learning, data analytics andimage processing to accomplish the research for the SBIR topic: Suppression of false alarms in Automated Target Recognizers (ATR) that useMachine Learning. With the amount of available imagery data increasing and adversaries vehicles and tactics becoming mor ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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