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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. P-8A IAT Fleet Metrics Functionality for Structural Life Management

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N08006

    The proposed effort will extend Fleet Metrics and ACTS (the latter originally developed for the Navy’s H-60 Multi-Mission Helicopter fleet) in support of PMA-290, NAVAIR, to establish a fleet-wide IAT-based data management system for all P-8A Poseidon aircraft. Acquisition and support of the innovative system for tracking the structural life of the P-8A aircraft are critical to the success of PM ...

    SBIR Phase II 2019 Department of DefenseNavy
  2. Architecture Methodology Integration

    SBC: TRIDENT SYSTEMS LLC            Topic: AF073016

    Research Proposed: Research is proposed to develop a novel system-level impact analysis capability into the Software Change Impact Analysis Tool (SCIAT), for usage on Submarine Warfare Federated Tactical System (SWFTS) and other large scale integrated systems.Problem Statement: SCIAT is a software tool that objectively identifies all areas impacted by code changes (direct and indirect). Using a co ...

    SBIR Phase II 2019 Department of DefenseNavy
  3. Data Science Driven Aircrew Performance Measurement and Proficiency System

    SBC: 2 CIRCLE, INCORPORATED            Topic: N181026

    The objective of this SBIR Phase II is to apply the research that was conducted during SBIR Phase I to develop a software solution that consolidates performance data from multiple sources to ensure that data collection and assessment processes are accurate, efficient, and effective. The solution leverages the processes used by NAVAIR’s Training Analysis Project (TAP) and provides a tool that can ...

    SBIR Phase II 2019 Department of DefenseNavy
  4. Framework for Intelligent Simulation Command with Hierarchically Embedded Reinforcement Learning (FISCHER)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N181083

    Wargaming plays a critical role in the modern military, both as a decision support tool for command and control centers and as a training tool for developing the future force. In both of these applications it is valuable to have access to highly skilled automated actors. In a decision support context, this facilitates fast, high fidelity simulations with a variety of possible battlefield condition ...

    SBIR Phase II 2019 Department of DefenseNavy
  5. Embedded Sensors with Low Power Telemetry for Towed Arrays

    SBC: PROGENY SYSTEMS, LLC            Topic: N121048

    The performance of current towed arrays can be improved by employing more hydrophones and telemetry channels per unit length. This topic seeks the development of innovative concepts that can increase the number of hydrophones and telemetry channels per unit length while simultaneously achieving a very small form factor (i.e., the length/diameter requirement). Increasing the sensor count will resul ...

    SBIR Phase II 2019 Department of DefenseNavy
  6. Automatic Position Inference, Location, and Tracking (Auto-PILOT)

    SBC: PROGENY SYSTEMS, LLC            Topic: N151031

    Visual fix sources can be acquired from any optical sensor at any time. Modern submarines are equipped with numerous sensors as part of the Integrated Submarine Imaging System (ISIS), which includes periscope video in the visible (electro-optical, EO) and various infrared (IR) spectra. However, this data is currently not utilized for navigation due to a lack of appropriate tools, yet computer visi ...

    SBIR Phase II 2019 Department of DefenseNavy
  7. Enhanced Long-Range Computer Vision and Targeting

    SBC: PROGENY SYSTEMS, LLC            Topic: A11034

    UAS are poised to play an increasingly prominent role in ISR and targeting applications. The Phase I effort made significant gains in demonstration of long-range computer vision technology; however, challenges remain. ATR technologies are generally limited to labeling target objects in images, one image at a time. Further, algorithm performance can vary significantly over a limited operating envel ...

    SBIR Phase II 2019 Department of DefenseNavy
  8. Multi-Dimensional Ambient Noise Model- Phase II--- 18-117

    SBC: METRON INCORPORATED            Topic: N181082

    At its core, the process of predicting the spectral and directional structure of the ambient noise field, and how it manifests as beam-level noise, relies on properly accounting for the uncertainty that arises from the confluence of several types of noise sources and physical processes (i.e. wind, rain, shipping, ice noise, sound speed variability, scattering, etc.). Existing TDAs rely heavily on ...

    SBIR Phase II 2019 Department of DefenseNavy
  9. Autonomous Collaborative ISR and Targeting

    SBC: PROGENY SYSTEMS, LLC            Topic: N151040

    UAS are poised to play an increasingly prominent role in ISR and targeting applications. In situations where a human cannot be in the loop for every transfer, automatic methods for target handoff are required and must perform reliably. In the Phase I effort, Progeny developed capabilities to detect maritime targets from full-motion imagery at long range. Here, we propose to recognize specific targ ...

    SBIR Phase II 2019 Department of DefenseNavy
  10. Rapid, Low Cost, High-quality Component Qualification Using Multi-scale, Multi-physics Analytical Toolset for the Optimization of Metal Additive Manuf

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N162083

    Current component qualification approaches for additive manufacturing (AM) are time consuming and expensive. In this effort, TDA team will develop and implement tools to allow process optimization tied to component specifications, which will be a significant advance in defining and accelerating component qualification. Following an ICME framework, TDA plans to develop a fully automated thermal-mec ...

    SBIR Phase II 2019 Department of DefenseNavy
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