You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Naval Special Warfare (NSW) Diver Thermal Human Interface

    SBC: Boston Engineering Corporation            Topic: N15AT012

    Naval Special Warfare needs to improve the thermal control subsystems on the SEAL Delivery Vehicle to provide heated or cooled water to the operators during transit in water temperatures from approximately 35°F or above 95°F. Unprotected operation in these environments, and the resulting core body temperature change of more than ~5°F risk serious injury, and lasting muscular-skeletal damage. Th ...

    STTR Phase II 2017 Department of DefenseNavy
  2. A Wavelength-Scalable Dual-Stage Photonic Integrated Circuit Spectrometer

    SBC: Physical Sciences Inc.            Topic: N19AT023

    In this program, Physical Sciences Inc. (PSI) will team with Professor Ali Adibi’s group at the Georgia Institute of Technology to develop a photonic integrated circuit (PIC) spectrometer that can simultaneously achieve high-resolution over wide-bandwidths using a scalable and foundry-ready approach. While a PIC-based spectrometer is a key component for on-chip Raman, fluorescence, and absorptio ...

    STTR Phase II 2020 Department of DefenseNavy
  3. TARGET: Transfer via Active Requests to Generalize Effective Training

    SBC: SOAR TECHNOLOGY INC            Topic: N15AT013

    Active Transfer Learning (ATL) is a machine learning approach that produces excellent accuracy and predictive power while requiring much less input data than competing approaches. SoarTech, partnered with University of California Davis, has used ATL to improve the understanding of skills and skill relationships in the Navys tactics and decision-making assessment system, DARTS. SoarTech showed in P ...

    STTR Phase II 2017 Department of DefenseNavy
  4. Cyber Ready-and-Aware Mindset for Protection and Resilience against Threats (Cyber RAMPART)

    SBC: SOAR TECHNOLOGY INC            Topic: N17AT023

    We propose to develop Cyber RAMPART as an extensible and customizable training delivery tool with near-term transition potential. It will offer shipboard operations personnel the opportunity to develop foundational cyber awareness knowledge and skill that prepares them to participate in their ship’s cyber defense mission and to hit the ground running in future fleet-level exercises that include ...

    STTR Phase II 2018 Department of DefenseNavy
  5. Fast and Flexible Differential Equation Model Fitting with Application to Pharmacometrics

    SBC: Metrum Research Group LLC            Topic: N16AT016

    We are developing a platform for pharmacometric data analysis workflow that is much more flexible and efficient than anything else on the market. This will be accomplished by (1) developing new functions within Stan, a widely used, open-source, probabilistic programming language and Bayesian inference engine, for computationally efficient data analysis using complex differential equation models, ( ...

    STTR Phase II 2017 Department of DefenseNavy
  6. Decision Support for Operators of Fully Autonomous Systems using RESTORE: Robust Execution System for Trusted Operation in Relevant Environments

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: N18BT032

    SSCI and MIT (Prof. Julie Shah) propose to develop and test a system that provides real-time assurance and trust in decisions made by autonomous collaborating vehicles. The proposed system is referred to as the RESTORE (Robust Execution System for Trusted Operation in Relevant Environments) and represents a decision support tool which facilitates decision making by the operator in cases when decis ...

    STTR Phase II 2020 Department of DefenseNavy
  7. Innovative Processing Techniques for Additive Manufacture of 7000 Series Aluminum Alloy Components

    SBC: SENSIGMA LLC            Topic: N18AT005

    Naval aircraft components are routinely made of 7000 series aluminum alloys due to their strength, weight and fatigue properties. Present Additive Manufacturing (AM) processes fall short of producing 7000 series Al alloys successfully due to lack of porosity, and thermal and composition control. In-situ methods implemented to date largely only yield information about the component surface and othe ...

    STTR Phase II 2020 Department of DefenseNavy
  8. Shallow Water and Surf Zone Minehunting (MAD Swarm)

    SBC: Physical Sciences Inc.            Topic: AF08T008

    The Shallow Water and Surf Zone Minehunting program (MAD SWARM) is described that spans the development and demonstration of swarming micro-air vehicles (MAV’s) equipped with Magnetic Anomaly Detectors (MAD’s) to autonomously detect and locate mine targets in shallow water and the surf zone. The MAD Swarm system incorporates low cost micro-air vehicle (MAV) technology, swarming sensor search/c ...

    STTR Phase II 2018 Department of DefenseNavy
  9. Computational Methods for Dynamic Scene Reconstruction

    SBC: Systems & Technology Research LLC            Topic: N16AT017

    Mobile video sensors have become cheap and easy to integrate into cell-phones, UAVs, body cameras, and security cameras. The possibility of dense networks of video sensors enables a wide range of security-related uses for ONR and other government agencies including seaport monitoring, battlefield situational awareness, and forensic crime-scene analysis. The density and overlap of sensors creates t ...

    STTR Phase II 2017 Department of DefenseNavy
  10. Botnet Analytics Appliance (BNA)

    SBC: MILCORD LLC            Topic: HSB061008

    Recent reports indicate the activity of more than 6,000 botnet C and C servers. 70 million zombies are responsible for 80 percent of SPAM. Given the exponential growth of the botnet threat, the security of our nation s cyber infrastructure demand automated botnet activity monitoring solutions. In Phase I, Milcord developed a feasibility prototype of a Bayesian Activity Monitor for Botnet Defense. ...

    STTR Phase II 2007 Department of Homeland Security
US Flag An Official Website of the United States Government