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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. Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17AT016

    OKSI and Northwestern University propose to develop a super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodo ...

    STTR Phase I 2017 Department of DefenseNavy
  2. Transformation Accelerated through Redesign, Guidance, and Enhanced Training (TARGET)

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: N17AT017

    As submarine threats from adversary countries continue to rise, the U.S. Navy must maintain and expand its anti-submarine warfare (ASW) capabilities. Warfighter readiness is the linchpin of the Navys ASW strategy, but the complexity of the ASW domain necessitates time-consuming training, and practical experiences to transfer those skills to the operational environment. An innovative training appro ...

    STTR Phase I 2017 Department of DefenseNavy
  3. Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: N17BT035

    OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...

    STTR Phase I 2017 Department of DefenseNavy
  4. ROBUST MOVING TARGET HANDOFF IN GPS-DENIED ENVIRONMENTS

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: AF15AT34

    Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...

    STTR Phase II 2016 Department of DefenseAir Force
  5. Detecting Substandard, Nonconforming, Improperly Processed and Counterfeit Materiel

    SBC: Ocean Bay Information and Systems Management, LLC            Topic: DLA15C001

    Inspecting for and detecting counterfeit, unapproved material substitutions or substandard processed raw material using existing processes is difficult, time consuming and expensive.Ocean Bay, LLC and the Primary Investigator, Karen Bruer, formed a team consisting of Ocean Bay, LLC, Savanah River National Laboratory and Old Dominion University, to apply for DLA15C-001:Detecting Substandard, Noncon ...

    STTR Phase II 2017 Department of DefenseDefense Logistics Agency
  6. Auto-Docking Autonomous Burial Vehicle (AD-ABV)

    SBC: MAKAI OCEAN ENGINEERING INC            Topic: N11AT017

    Subsequent Phase II Proposal, extension of Phase II contract N00039-12-C-0082. This contract involves the development of an underwater vehicle that can reliably and autonomously interconnect power and data cables to undersea nodes after they have been deployed. The Auto-Docking Autonomous Burial Vehicle (AD-ABV) is a cable-connecting adaptation of Makai’s proven ABV, which has been successfully ...

    STTR Phase II 2017 Department of DefenseNavy
  7. Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: MDA15T001

    ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  8. SOCRATES Maritime Multi-access Optical Communication System

    SBC: SA PHOTONICS, LLC            Topic: N16AT024

    SA Photonics is pleased to propose the SOCRATES free space optical communication and sensing system featuring the Photonic Optical Multicast Mast Unit (POMMU). SOCRATES enables 360 degree multicast capability of high bandwidth communication in addition to threat search and tracking capability. SA Photonics will team with Prof. Michael Kudenov at North Carolina State University who will investigate ...

    STTR Phase II 2017 Department of DefenseNavy
  9. Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER)

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: AF16AT05

    ExoAnalytic Solutions, teamed with Texas A&M University and Georgia Institute of Technology, will develop Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER) with the goal being to design and demonstrate tracking of resident space objects (RSOs) in near-geosynchronous orbit (GEO) using a rapidly-constructed low-cost ground based electro-optic (EO) sensor wit ...

    STTR Phase II 2017 Department of DefenseAir Force
  10. Embedded Space Analytics

    SBC: INFOBEYOND TECHNOLOGY LLC            Topic: N16AT020

    Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...

    STTR Phase II 2017 Department of DefenseNavy
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