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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. Software Tools for Scalable Quantum Validation and Verification

    SBC: SC SOLUTIONS, INC.            Topic: A18BT011

    In this Small Business Technology Transfer (STTR) Phase I project, SC Solutions, teaming with Sandia National Laboratories (SNL), will demonstrate the feasibility of a scalable Quantum Computing Validation & Verification (QCVV) tool that will allow quantum computing researchers to rapidly and conveniently test and benchmark their quantum computing systems. While several QCVV techniques have been d ...

    STTR Phase I 2019 Department of DefenseArmy
  2. Runnable Environment for Team Effectiveness and Assessment Metrics (re-TEAM)

    SBC: MODUS OPERANDI, INC.            Topic: A18BT008

    The most critical component of any modern enterprise is effective use of its human resources. The rise of productivity-boosting applications and wearable sensors has provided individual users with data-driven insights into their own effectiveness. Despite these advancements there has not been a corresponding rise in tools for evaluating and improving the effectiveness of teams as a whole. New wear ...

    STTR Phase I 2019 Department of DefenseArmy
  3. Carbon Nanotube Based Monolithic Millimeter-wave Integrated Circuits

    SBC: ATOMINC INC            Topic: A18BT004

    In this project, we propose to develop a high-performance carbon nanotube (CNT) based millimeter-wave transistor technology and demonstrate monolithic millimeter-wave integrated circuits (MMICs) based on this technology with improved power efficiency, linearity, noise and dynamic range performance over existing GaAs, SiGe and RF-CMOS technologies. The goal of this topic is to leverage Professor St ...

    STTR Phase I 2019 Department of DefenseArmy
  4. Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17BT035

    The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navy ...

    STTR Phase II 2019 Department of DefenseNavy
  5. Learner Engagement and Motivation to Learn Assessment and Monitoring System

    SBC: Design Interactive, Inc.            Topic: AF17AT009

    Training can now be delivered on a large scale through emerging platforms, but training must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels of engagement during learning and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimi ...

    STTR Phase II 2019 Department of DefenseAir Force
  6. Physics-based Computationally Efficient Spray Combustion Models for LES of Multiphase Reacting Flows

    SBC: CFD RESEARCH CORPORATION            Topic: N17AT002

    One important challenge for the reliable prediction of liquid fuel effects on the combustion in aviation combustors and augmentors is the accurate modeling of underlying physical processes, involving the evaporation of fuels, preferential vaporization, scalar mixing and ignition. LES methodologies are required to accurately capture these transient and inherently unsteady combustion processes. In t ...

    STTR Phase II 2019 Department of DefenseNavy
  7. Closed-Loop Feedback Control for Transcranial Direct Current Stimulation, Phase II.

    SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC            Topic: AF17BT002

    Human analysts are presented with ever-increasing amounts of data to process, taxing the limitations of human cognitive capacity. This cognitive overloading leads to increased likelihood of errors and accidents, with costly consequences in mission critical operations. Consequently, there is a rising demand for more efficient processing of increasingly large amounts of intelligence. Transcranial di ...

    STTR Phase II 2019 Department of DefenseAir Force
  8. Risk-Based Unmanned Air System (UAS) Mission Path Planning Capability

    SBC: BARRON ASSOCIATES, INC.            Topic: N17BT034

    Current aircraft operations within the National Airspace System (NAS) rely heavily on the presence of an on-board pilot to safely manage the flight. Integration of Unmanned Aircraft Systems (UAS) into the NAS requires a high confidence that these operations can meet or exceed the safety afforded through manned operations. Specifically, these UAS operations must not pose an undue risk to persons, s ...

    STTR Phase II 2019 Department of DefenseNavy
  9. Materials Modeling Tool for Alloy Design to Streamline the Development of High Temperature, High-Entropy Alloys for Advanced Propulsion Systems

    SBC: Directed Vapor Technologies International, Inc.            Topic: N17BT031

    The performance of gas turbine engines is greatly improved as engine operation temperatures are increased. This has dictated that the hot structural components, made of nickel-based superalloys, often operate at temperatures approaching their melting point. Alternate materials with higher temperature performance are desired for use in the hot section of gas turbine engines. Higher temperature capa ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life Calculation

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N17AT009

    Phase I addressed the technological gap in the predictive capabilities of CFD/FSI in the context of hybrid loads/sensor models used in an aircraft’s fatigue life tracking program for critical fuselage and dynamic components across the full flight regime. It demonstrated these technology advancements: (1) a combined rotor, fuselage aeroelastic model; (2) empirical rotor hub loads prediction from ...

    STTR Phase II 2019 Department of DefenseNavy
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