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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.

Displaying 202341 - 202350 of 207712 results
  1. ADEPT- Predictive Data Analytics to Refine Aircrew Training and Operations N21B-T024 Phase II

    SBC: SOAR TECHNOLOGY, LLC            Topic: N21BT024

    The Aggregated Data Evaluation & Prediction Tool is a data analyst software that processes aggregated Navy data streams and enables predictive analysis and experimentation through ML modeling.

    STTR Phase II 2023 Department of DefenseNavy
  2. P22-145 ITM Ph II Expansion (CCHAT Protocol)

    SBC: SOAR TECHNOLOGY, LLC            Topic: DHA17B002

    Current artificial intelligence (AI) algorithms are built to align with ground truth or consensus of trusted human decision-makers. This is not effective for difficult decision domains, such as patient triage, where even experts disagree on the best course of action. A key reason human experts disagree is that their individual attributes influence their decision-making. To develop human-off-the-lo ...

    SBIR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  3. Scalable Language Association Models for Domain-specific Utterances in Novel Contexts (SLAMDUNK)

    SBC: SOAR TECHNOLOGY, LLC            Topic: SB163007

    Extending research on scalable Transformer models performed on previous SBIR-funded work for DARPA, Soar-Tech proposes an investigation into Scalable Language Association Models for Domain-specific Utterances in Novel Contexts (SLAMDUNK), a Phase II SBIR research effort focused on developing novel synthetic data generating pipelines and extending these pipelines with novel index-learning, token gr ...

    SBIR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  4. P22-068 Spotter

    SBC: SOAR TECHNOLOGY, LLC            Topic: AF2220005

    SoarTech, MTRI, and Attollo Defense propose Spotter, a swarm fusion solution for decentralized teams of low SWAP platforms. Spotter improves identification and tracking for collaborative munitions within complex adversarial environments.  Spotter leverages heterogeneous sensors, diverse viewing geometries, and contextual data. Spotter will be integrated with SoarTech’s SwarmMATE infrastructure. ...

    SBIR Phase I 2023 Department of DefenseAir Force
  5. P22-071 Smart Interaction Device for JIT training (SID-JIT)

    SBC: SOAR TECHNOLOGY, LLC            Topic: AF2220014

    As the Agile Combat Employment (ACE) concept becomes a reality, airmen operating in austere conditions with limited manpower will need to perform tasks for which they were not necessarily trained. The Just-In-Time Multi-Mission Airmen/Warfighters (JITMMA/

    SBIR Phase I 2023 Department of DefenseAir Force
  6. SNAPshot+

    SBC: SOAR TECHNOLOGY, LLC            Topic: N212128

    Analysis of Social Media Intelligence (SOCINT) is a growing priority within the Department of Defense (DoD) in support of information operations (IO). While there have been many programs to develop social media analytics, less attention has been put to developing post-analytic tools that incorporate SOCINT into intelligence analyst sensemaking and report generation workflows. This leaves analysts ...

    SBIR Phase II 2023 Department of DefenseNavy
  7. Reinforcement Learning with Intelligent Context-based Exploration (RL-ICE)

    SBC: SOAR TECHNOLOGY, LLC            Topic: SCO182006

    This effort will extend the RL-ICE capability for low-shot object detection to operate with zero real data within the MWIR band (zero-shot learning). Our goal is to 1.) mature our software, 2.) maximize the performance benefit of synthetic data in training an object detector and, 3.) assess the trade-space of real vs synthetic data by comparing performance to a detector trained on fully real data. ...

    SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense
  8. Multiagent Autonomous Reasoning System (MAARS) for Satellite Defense

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: SB093006

    In this document, we propose to carry out the research and development required to establish a distributed multi-agent system that will provide planning and execution capabilities that is aimed at protecting U.S. space capabilities against offensive space technologies. The uncertainty in detection and potential impact of offensives and their corresponding defenses, communication/time limitations a ...

    SBIR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
  9. Stress Resilience Training System (SRTS) for Inoculating the Warfighter

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: SB093003

    This proposal is to develop the research, theoretical, and technical basis for an innovative Stress Resilience Training System (SRTS) to inoculate the warfighter against the adverse effects of stress -- both during exposure and in the post traumatic situation. Our scientific and technical approach is based on our own research, our present analysis of the literature, and the practical experience ...

    SBIR Phase I 2010 Department of DefenseDefense Advanced Research Projects Agency
  10. Adaptive Interface Management System (AIMS) for Network-Centric Supervisory Control of Multiple Unmanned Aerial Vehicles (UAV)

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: AF093028

    This proposal is for an Adaptive Interface Management System (AIMS) for Netcentric Supervisory Control of Multiple Unmanned Aerial Vehicles. Our objective is to enhance multi-UAV operator performance by extending capabilities and reducing workload through a toolset of task-oriented decision aids and intelligent agent assistants. By providing these tools, we will realize optimal efficiency in miss ...

    SBIR Phase I 2010 Department of DefenseAir Force
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