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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.

  1. Automated Human and System Performance Assessment in Operational Environments

    SBC: ADVANCED ANTI-TERROR TECHNOLOGIES CORP            Topic: N11AT001

    Our Fused-Realities-Assessments-Modules(FRAM) enables innovative new levels and types of automated quantification strategies for combining human and system performance in real-time for fused performance monitoring and after-action-review purposes. FRAM accomplishes this by fusing output of normative models of behaviors (cognitive/procedural/team), human states (physiological/affective), system sta ...

    STTR Phase II 2013 Department of DefenseNavy
  2. A Universal, Low-Cost Atomic Magnetometer

    SBC: Twinleaf LLC            Topic: N13AT019

    We propose to develop a universal atomic magnetometer magnetometer capable of operation as either a three-axis vector atomic magnetometer or a scalar (total field) atomic magnetometer. We furthermore operate the magnetometer in a regime that is inherently free of sources of drift in the lasers or cell to achieve unprecedented low drift at low frequency. The magnetometer is being developed for volu ...

    STTR Phase I 2013 Department of DefenseNavy
  3. An Integrated Physics-Based Framework for Detecting Precursor to Damage in Naval Structures

    SBC: Los Gatos Research            Topic: N10AT042

    Aging aircraft commonly suffers from several types of degradation including fatigue cracking and lack of bonding. It is virtually impossible to predict degradation in structural performance or when a component or structure will fail due to the inability to test new material systems under all loading conditions and under all environmental conditions. A material state awareness system using minimali ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Analysis and Modeling of Foreign Object Damage (FOD) in Ceramic Matrix Composites (CMCs)

    SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC            Topic: N10AT010

    A significant barrier to the insertion of ceramic matrix composite (CMC) materials into advanced aircraft engines is their inherent lack of toughness under foreign object Damage (FOD) as well as post FOD. Our team will develop and demonstrate a physics-based model for FOD/post FOD in CMC’s. The model will incorporate physical mechanisms associated with impact for two different CMC systems: a) ma ...

    STTR Phase I 2010 Department of DefenseNavy
  5. A Fiber-Optic-Based External Pipe Sound Pressure Level Sensing System

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: N10AT016

    Intelligent Fiber Optic Systems Corporation (IFOS) and Georgia Tech propose a fiber Bragg grating (FBG) integrated sensor system capable of measuring the pipe wall "breathing mode" in order to infer the fluid-borne sound pressure level (SPL) in a pipe. The proposed new measurement technique makes it possible to externally measure the fluid-borne sound level in a noisy piping system. The state-of-a ...

    STTR Phase I 2010 Department of DefenseNavy
  6. A Fast-Response, Electronically Controlled Fuel Injection System for Small Heavy Fuel Engines with Multi-Fuel Capabilities

    SBC: MAINSTREAM ENGINEERING CORP            Topic: N10AT033

    Advances in electronically controlled injection technologies for diesel engines have provided a method to improve medium- to heavy-duty engine performance through increased injection pressures, multiple injections, and injection rate shaping. Although these injection systems have been primarily limited to larger engines, the ability to rapidly and precisely meter fuel for smaller engines is partic ...

    STTR Phase I 2010 Department of DefenseNavy
  7. Advanced Real Time Battery Monitoring and Management System

    SBC: SPECTRAL LABS INCORPORATED            Topic: N10AT013

    Although many off-the-shelf and semi-custom Battery Management Systems (BMS) are available, the Navy recognizes with this STTR Topic, and recent history illustrates, that a safety system with the required reliability and performance for mission critical applications has not been demonstrated. This proposal will detail the Spectral Labs Incorporated (SLI) and University of California, Davis (UCD) t ...

    STTR Phase I 2010 Department of DefenseNavy
  8. Advanced Real Time Battery Monitoring and Management System

    SBC: Technology Service Corporation            Topic: N10AT013

    TSC and Purdue University will demonstrate a lab prototype of software and hardware capable of doing high speed monitoring of a Lithium-Ion cell. This monitoring needs to be specifically designed to predict failures. When a predictive failure is indicated a defensive countermeasure needs to be implemented. Our specific project goals are to: 1) Select a Lithium-Ion battery that consists of multiple ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Advanced Materials for the Design of Lightweight JP5/JP8/DS2 Fueled Engines for Unmanned Aerial Vehicles (UAVs)

    SBC: Northwest Uld, Inc.            Topic: N10AT001

    Northwest UAV Propulsion Systems proposes using our purpose built heavy fuel engine designed and built in the USA for small unmanned aerial systems in the tier 2 & 3 class. We will be adding a lightweight ceramic material set combined with FEA (Finite Element Analysis) and heavy fuel atomizer (IRAD Project) to create a lightweight engine for a SUAS or STUAS class UAVs. The Ceramic material set is ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Advanced Data Processing, Storage and Visualization Algorithms for Structural Health Monitoring Sensor Networks of Naval Assets

    SBC: ACELLENT TECHNOLOGIES INC            Topic: N10AT042

    Acellent Technologies Inc. and Prof. F. G. Yuan at North Carolina State University (NCSU) are proposing to develop a Hybrid Distributed Sensor Network Integrated with Self-learning Symbiotic Diagnostic Algorithms and Models to determine materials state awareness and its evolution, including identification of precursors, detection of microdamages and flaws near high stress area or in a distributed ...

    STTR Phase I 2010 Department of DefenseNavy
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