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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. Nonlinear-DSP-Enabled RF-Photonic Link

    SBC: RAM PHOTONICS LLC            Topic: N14AT023

    Digital equalizers have been the major enablers in RF communications in terms of managing component imperfections and channel impairments. Specifically, the ever increasing processing power of the dedicating computing processors has availed a steady increase in the ability of complex communication systems to deal with impairments as well as allowing higher capacities in the information transfer.On ...

    STTR Phase II 2016 Department of DefenseNavy
  2. Provably Unclonable Functions on Re-configurable Devices

    SBC: IERUS TECHNOLOGIES INC            Topic: A18BT001

    The ability to authenticate electronic devices is an important step towards modernizing the hardware/software of our Nations communication systems. Protecting these targeted networks and devices from malicious cyber-based attacks is becoming increasingly important as the technological and cyber capabilities of our adversaries continue to advance. In addition to network security, device authenticat ...

    STTR Phase I 2018 Department of DefenseArmy
  3. Situational Awareness for Mission Critical Ship Systems using Probabilistic Knowledge Graph

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: N18AT009

    This effort proposes to develop situational awareness methodologies for mission critical ship system based on the state-of-the-art probabilistic knowledge graph (KG) and deep learning. The proposed KG approach can incorporate various data fusion technologies for analysis of unstructured data (text, images, etc.) and structured data (signal feeds, database items, etc.) for automated decision suppor ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Technologies to Target Circadian Rhythm Disruption in PTSD

    SBC: Cognionics, Inc.            Topic: A16AT014

    This STTR project will develop a wearable sensor suite for accurate assessment of circadian and sleep rhythms with the goal to identify abnormalities in PTSD patients and enable personalized therapy to help restore their normal functional and quality of life. Phase I has already demonstrated proof-of-principle hardware. The primary Phase II objective is to successfully carry out a human subjects s ...

    STTR Phase II 2018 Department of DefenseArmy
  5. Brain Targeting Nanoparticle for Drug Delivery in Traumatic Brain Injury

    SBC: WEINBERG MEDICAL PHYSICS, INC.            Topic: DHA18A001

    There is an urgent need to bypass or cross the blood brain barrier (BBB) to deliver drugs for TBI treatment. This project aims to develop targted intranasally delivered, magnetically propulsed, and targted nanoparticles for traumatic brain injury (TBI). In Phase I, we will demonstrate the design, fabrication, and in vitro characterization of proposed drug laden magnetic nanoparticles as well as co ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  6. System for Nighttime and Low-Light Face Recognition

    SBC: MUKH Technologies LLC            Topic: SOCOM18A001

    Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  7. System for Nighttime and Low-Light Face Recognition

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: SOCOM18A001

    The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  8. Active Imaging through Fog

    SBC: SA PHOTONICS, LLC            Topic: N18AT021

    Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Cubic Boron Nitride Claddings for Friction Stir Tooling

    SBC: Plasma Processes, LLC            Topic: N18AT026

    Friction stir welding (FSW) is an attractive joining method where high strength low porosity welds can be attained. However, the high temperatures and forces required for welding high strength materials like steel require the use of exotic tools. Cubic boron nitride (cBN)-based tools offer attractive tool wear characteristics in steels, but are very costly. Conversely, refractory metal alloys are ...

    STTR Phase I 2018 Department of DefenseNavy
  10. Internet of Things (IoT) Agent (IoTA) Framework for Evaluating Effectiveness and Efficiency

    SBC: RAM LABORATORIES            Topic: N18AT027

    The Internet of Things (IoT) is increasingly being used to create smart platforms where operators are being removed from the loop. These smart capabilities include collaborative IoT sensors and platforms that are self-aware and provide capabilities of self-prediction, self-configuration, and self-maintenance. To fully take advantage of these advances, however, testbeds and frameworks are needed to ...

    STTR Phase I 2018 Department of DefenseNavy
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