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.

Displaying 205001 - 205010 of 207725 results
  1. Advanced UAV and Mortar Target Detection and Tracking Algorithms for Low Signal-to-Noise Ratio and Cluttered Environments

    SBC: ARETE ASSOCIATES            Topic: A17102

    In this work, Areté Associates proposes to extend its long history of tracking and detection solutions to meet the challenge of tracking small and dim targets in high-clutter environments using a mid-wave infrared (MWIR) sensor coupled with innovative detection algorithms and processing. We present a track-before-detect, signal-integration approach that merges the functionality of Areté’s prov ...

    SBIR Phase II 2019 Department of DefenseArmy
  2. CAMDEN

    SBC: ARETE ASSOCIATES            Topic: AF161087

    The domain of battle for missile defense, once focused around launch preparation and engaging targets after launch, must now extend temporally far before launch to ascertain the intent and actions of an adversary. While spatial data is becoming increasingly more available, there is no efficient way to look broadly and consistently across large spatial areas for structures/activities of interest fo ...

    SBIR Phase II 2020 Department of DefenseMissile Defense Agency
  3. Maritime Target Classification from Inverse Synthetic Aperture Radar (ISAR) Using Machine Learning/Arete Associates

    SBC: ARETE ASSOCIATES            Topic: SCO182008

    The Strategic Capabilities Office of OSD is seeking to use machine learning to produce a robust classification capability using ISAR for a relevant radar sensor system. Areté Associates proposes an advanced machine learning approach to perform robust classification with a path towards real-time classification performance. The proposed approach employs a robust method to generate a valid, balanc ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  4. Machine Learning applied to Measurement Assessment

    SBC: ARETE ASSOCIATES            Topic: AF182019

    Areté’s SQUIRE (Signal Quality Utility for Identification and Removal of Errors) leverages the latest in machine and deep learning to automatically detect, classify, and localize sources of contamination in radar returns. Currently, test engineers at NRTF use the SABER software tool to perform analyses to manually identify and localize contamination in radar data that needs to be removed ...

    SBIR Phase II 2020 Department of DefenseAir Force
  5. Infrared Polarimetric Wave Imaging (I-PWI) for Passive Remote Sensing of Sea State

    SBC: ARETE ASSOCIATES            Topic: 91

    The surface of the ocean is a dynamic and challenging work environment. Many operations are limited by sea state and surface currents. Knowledge of ocean wave conditions is critical for maritime safety and operations. We propose to develop a new Infrared Polarimetric Wave Imaging (I-PWI) sea state sensor. IPWI will be deployed on offshore structures such as oil platforms and wind turbines. The tec ...

    SBIR Phase I 2021 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Bio-inspired Autonomous Neuromorphic Detector for Identification and Tracking (BANDIT)

    SBC: ARETE ASSOCIATES            Topic: MDA20T003

    Biological vision systems capture and process extremely complex environments with high accuracy. Whereas conventional imaging systems require large amounts of memory and power to run, bio-inspired systems can maintain performance while reducing the size, weight, and power requirements. In this project, Areté proposes the development of a fully bio-inspired vision system for missile detection and ...

    STTR Phase I 2021 Department of DefenseMissile Defense Agency
  7. Next Generation Laser Designator

    SBC: ARETE ASSOCIATES            Topic: AF191079

    Areté proposes an eyesafe Next Generation Laser Designator solution suitable for longer acquisition range, longer designation range, PRFs up to 10s of kHz rates, and higher pulse energies than current systems.  An emphasis of this SBIR effort is achieving high beam-quality.  Combined with SWIR-band wavelengths favorable for low-scattering and high atmospheric transmission, the good beam quality ...

    SBIR Phase II 2021 Department of DefenseAir Force
  8. Cis-Lunar Orbit Finder

    SBC: ARETE ASSOCIATES            Topic: AF203CSO2

    Areté Associates proposes to utilize the newly constructed Photon Sleuth telescope to begin observation, detection, and orbital characterization of objects in cislunar orbits.  The Photon Sleuth telescope is an ultra-wide field of view system capable of d

    SBIR Phase I 2021 Department of DefenseAir Force
  9. CAMELOT

    SBC: ARETE ASSOCIATES            Topic: NGA201005

    In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
  10. Structured Stories for MOVINT

    SBC: ARETE ASSOCIATES            Topic: NGA203001

    Arete will integrate the Mover Intelligence Extraction Engine with the Social Structured Framework (SSF) to produce a capability to generate narratives of MOVINT track data with context derived from associated Geographic Information Systems (GIS) and other foundation data. The Extraction Engine will be derived from the Arete Cognitive Behavior Classifier (CBC) to characterize MOVINT tracks into co ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
US Flag An Official Website of the United States Government