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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 201411 - 201420 of 207728 results
  1. A Deep Learning Framework for Real-Time Health and Security Monitoring and Diagnosis of Manufacturing Systems Based on Energy Consumption Auditing

    SBC: CFD RESEARCH CORPORATION            Topic: AF221DCSO1

    The proposed effort aims to develop and demonstrate a unified framework based on deep learning for real-time health and security monitoring and diagnosis of threats in manufacturing systems via energy consumption auditing. The salient aspects of the propo

    SBIR Phase II 2022 Department of DefenseAir Force
  2. Ground Test Cell Instrumentation and Fleet Health Monitoring/Repair of Integrally Bladed Rotor (IBR) with A/B Mistuned Blades and Asymmetric Vane Excitation

    SBC: NON-CONTACT TECHNOLOGIES LLC            Topic: AF221DCSO1

    Non-Contact Technologies, LLC, (NCT) seeks to mature and commercialize the integration of Non-contact Stress Measurement System (NSMS) instrumentation techniques for turbine engine blade vibration marketed by NCT with modelling and analysis tools developed by Blade Diagnostics Corporation (BDC) to provide comprehensive analysis of turbine blade vibration during operation in instances where engine ...

    SBIR Phase II 2022 Department of DefenseAir Force
  3. Augmented Reality for Sustainment Data Capture and Analysis

    SBC: Nlign Analytics, Inc.            Topic: AF221DCSO1

    AFSC has a national defense-related mission need in the area of inspecting and maintaining the structural integrity of aircraft and aircraft components. AFSC is currently undergoing efforts to digitize the collection of data during inspection and maintenance operations.  These efforts include deploying NLign Analytics’ NCheck software to reduce redundancy in data entry, improve accuracy of coll ...

    SBIR Phase II 2022 Department of DefenseAir Force
  4. CUTLASS- Advanced Artificial Intelligence for Maritime Surveillance

    SBC: Modern Intelligence Inc.            Topic: AF221DCSO1

    Modern Intelligence has developed CUTLASS, a modular, all-sensor, all-platform maritime surveillance AI that classifies, tracks, and predicts objects of interest, their movement and activities over space and time, maintaining custody over distinct sensors and platforms. CUTLASS utilizes state of the art multimodal machine learning models to combine near-simultaneous data streams of separate modali ...

    SBIR Phase II 2022 Department of DefenseAir Force
  5. Mustang SUAS

    SBC: GREENSIGHT INC.            Topic: AF221DCSO1

    State of the art industrial VTOL SUAS platforms feature standardized, open payload interfaces that allow the aircraft to be field customized to fit application or job requirements. Military users have similar requirements, but no existing VTOL platforms provide the modularity required, and the ones that come close are restricted from use due to their country of origin. What is needed is a “snap ...

    SBIR Phase II 2022 Department of DefenseAir Force
  6. Automatic Intelligent Tracking of Passenger Vehicles in Aerial Video Feeds from Medium Altitude UAV (e.g., MQ-9), using Cognitive Explainable-AI

    SBC: Z ADVANCED COMPUTING INC            Topic: AF221DCSO1

    ZAC’s disruptive Cognitive Explainable-AI (artificial intelligence) detailed 3D image recognition technology will be adapted to intelligently track target objects of interest (e.g., passenger vehicles) automatically in real-time within aerial video feeds from UAV (e.g., MQ-9), based on the target’s detailed description (which is critical for Intelligent Tracking). This proposed solution will s ...

    SBIR Phase II 2022 Department of DefenseAir Force
  7. Real-Time Data Transformation to Accelerate Integration of US and Allied Partner Sensor Data into the Unified Data Library

    SBC: MEROXA INC            Topic: AF221DCSO1

    To address the Department of the Air Force’s need for a resilient data architecture in support of space domain awareness and command and control for DAF missions, Meroxa is continuing the development of our Meroxa Platform, an enterprise grade, real time

    SBIR Phase II 2022 Department of DefenseAir Force
  8. Q-UGV Robots: Improving CBRN Investigation Safety and Speed Using Robots

    SBC: Ghost Robotics Corporation            Topic: AF221DCSO1

    Ghost Robotics will develop a customized, modified, and enhanced Quadrupedal Unmanned Ground Vehicle (Q-UGV) robot for Air Force Emergency Managers for chemical, biological, radiological, and nuclear (CBRN) and applications. The robot will execute CBRN investigations to accelerate render safe procedures and keep Airmen safe by reducing their amount of time exposed to CBRN threats. During the proje ...

    SBIR Phase II 2022 Department of DefenseAir Force
  9. Q-UGV Robots: Disaster Recovery and Area Security Robotics Automation

    SBC: Ghost Robotics Corporation            Topic: AF221DCSO1

    During this proposed Phase II, Ghost Robotics will partner with Patrick Space Force Base / Cape Canaveral Space Launch Site to conduct R&D non-recurring engineering to introduce new LIDAR AI/anomaly detection capabilities for disaster recovery / damage assessment and persistent security use cases.  The R&D modifications and enhancements will enable the robots to detect threat items like drugs and ...

    SBIR Phase II 2022 Department of DefenseAir Force
  10. Enabling Industry scalable GaN-based Technology for Heterogeneous Integration of RF power devices Via van der Waals 2D h BN Release layer

    SBC: AGNITRON TECHNOLOGY, INC.            Topic: AF221DCSO1

    Gallium nitride (GaN) monolithic microwave integrated circuits (MMICs) continue to be the best solution for high power/high-frequency RF/microwave needs due to its high-power RF performances. However, GaN has presented difficulties of not being able to be

    SBIR Phase II 2022 Department of DefenseAir Force
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