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 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. Enhanced Scene Reasoner

    SBC: Physical Optics Corporation            Topic: A19044

    To address the Army’s need for an automated semantic reasoner capable of using logical rules to deduce a local world model from a changing knowledge base consisting of multi-modal data that also utilize online learning techniques to adapt to changing environments, Physical Optics Corporation (POC) proposes to develop a new Enhanced Scene Reasoner (ESR) algorithm suite. It is based on a new syste ...

    SBIR Phase I 2019 Department of DefenseArmy
  2. Low-Cost, Uncooled, NIR and SWIR FPA Using SiGeSn on Silicon

    SBC: FREEDOM PHOTONICS LLC            Topic: A19045

    Advanced imaging techniques and intelligence, surveillance and reconnaissance (ISR) are of great interest to the U.S. Army and other Department of Defense (DoD) agencies, but associated high-cost and SWaP of III-V and II-VI NIR/SWIR materials prohibit their widespread deployment and integration with other sensors. Freedom Photonics, with Arizona State University, intend to investigate the synthesi ...

    SBIR Phase I 2019 Department of DefenseArmy
  3. Novel Low Cost Planar III-V SLS IR Detector Focal Plane Arrays

    SBC: ATTOLLO ENGINEERING, LLC            Topic: A19047

    Attollo proposes to develop low-cost, small-pixel pitch MWIR sensors using planar processing technology. At the end of a successful Phase II, Attollo will deliver a camera core including an IDCA based on their MWIR SLS-based detector arrays and small pixel pitch ROIC. In Phase I, Attollo will extend their current planar technologies to SLS materials, and perform experimentation and trade studies t ...

    SBIR Phase I 2019 Department of DefenseArmy
  4. Motion Compensation for Background Estimation from On-The-Move Ground Platforms

    SBC: TOYON RESEARCH CORPORATION            Topic: A19048

    Toyon proposes R&D of algorithms for near-optimal video motion compensation for moving ground vehicle applications. The algorithms will enable aided target detection and recognition based on target motion, and improved tracking based on 3D scene context understanding. We will collect visible and infrared video from a moving ground vehicle, and estimate the camera motion. We will estimate pixel ran ...

    SBIR Phase I 2019 Department of DefenseArmy
  5. Tactical Augmented-Reality Situational Awareness Head-Up Display

    SBC: INTELLISENSE SYSTEMS INC            Topic: A19053

    To address the Army’s need for a tactical vehicle head-up display, Intellisense Systems, Inc. (ISI) proposes to develop a new Tactical Augmented-Reality Situational Awareness Head-Up Display (TARAHUD) based on multi-aperture tiled digital micromirror device (DMD) miniature projectors coupled to space-saving, highly efficient planar image combiner optics, driven by an ISI-developed low-latency vi ...

    SBIR Phase I 2019 Department of DefenseArmy
  6. Augmented Situational Awareness Windshield (ASAW)

    SBC: Maztech Industries LLC            Topic: A19053

    Maztech proposes an effort to assess multiple advanced display technologies for suitability as a display for enhanced night vision driving and daytime augmented reality. The technologies proposed leverage commercial technologies that can be militarized to meet the stringent requirements for our soldiers. We propose assessments of transparent high resolution displays and roll-able high resolution O ...

    SBIR Phase I 2019 Department of DefenseArmy
  7. Small pixel LWIR active sensor

    SBC: ADVANCED SCIENTIFIC CONCEPTS, LLC            Topic: A19043

    The Army’s semi and fully autonomous Next Generation Combat Vehicles must traverse poorly delineated landscapes whose views are obscured by smoke, dust, and fog, without GPS, and while under attack. LWIR global shutter flash LIDAR is a robust high resolution 3D active pixel vision sensor which is needed to overcome these challenges. The goal of the proposed program is to identify a feasible high ...

    SBIR Phase I 2019 Department of DefenseArmy
  8. Variable Emissivity Panel for Identification of Friend or Foe

    SBC: INTELLISENSE SYSTEMS INC            Topic: A19100

    To address the Army need for an Identification Friend or Foe (IFF) panel with dynamic contrast at long-wave infrared (LWIR) wavelengths, Intellisense Systems, Inc. (ISI) proposes to develop a new Variable Emissivity Panel for Identification of Friend or Foe (VEPIFF) consisting of a two-dimensional segment (pixel) array with each segment individually electro-optically controllable for variable LWIR ...

    SBIR Phase I 2019 Department of DefenseArmy
  9. Interconnected Networks and Dense Urban Resilience

    SBC: Perceptronics Solutions, Inc.            Topic: A19012

    This proposal is for Modeling of Dense Urban Networks (MDUN). Our objective is to develop: (1) a well-researched mathematical model of a dense urban environment’s interdependent functional systems and production, allocation, identity, legitimacy, participation, and penetration networks; and (2) a computational framework for assessing the primary, secondary, and tertiary impacts of stressors, ori ...

    SBIR Phase I 2019 Department of DefenseArmy
  10. Wearable Performance Assessment System

    SBC: YOTTA NAVIGATION CORP            Topic: A19014

    Yotta Navigation proposes to develop a Wearable Performance Assessment System (WPAS) and accompanying computational models to detect and classify soldier relevant complex, highly-dynamic tasks in real-time. The WPAS consists of a scalable set of unobtrusive body-warn biomedical sensors called Kinetic Pods (KP) that provides accurate detection of soldier movements. The sensors will be small, low-co ...

    SBIR Phase I 2019 Department of DefenseArmy
US Flag An Official Website of the United States Government