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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. Buoy Based Distant Early Warning for Hypersonics

    SBC: HYPERKELP INC            Topic: N231013

    While Electro Optic (EO) sensors stationed on the surface and space systems are key to the Deprtment of the Navy’s (DoN) ability to track and counter hypersonic threats, they face limitations. Both space based and surface level sensors are prone to signal blockage by clouds, which absorb optical and infrared signals characteristic to Hypersonic Glide Vehicles HGVs. Well over 50% of the ocean is ...

    SBIR Phase I 2023 Department of DefenseNavy
  2. Low Cost Flatpack Aircraft with Ultrasonic Additive Manufacturing

    SBC: T.G.V. ROCKETS INC.            Topic: N231069

    All forces in the DoD are increasing their use of unmanned aircraft. Everyone in the defense realm is seeking low-cost drone aircraft for limited mission sets due to soaring costs for frontline military aircraft.  One issue with having many attritable aircraft is that they are still relatively large and take up precious space when not being used. This idleness is often the case due to their limit ...

    SBIR Phase I 2023 Department of DefenseNavy
  3. Low Hazard Heat Pump for Distributed Cooling

    SBC: THE COLUMBIA GROUP INC            Topic: N221052

    The standard US Navy cooling system provides 44°F chilled water throughout the ship. The US Navy seeks an innovative heat pump to support development of a distributed cooling architecture and topology where centralized chillers provide 67°F cooling water (instead of the 44°F chilled water). The water temperature is then reduced at point-of-service to 42-44°F (where needed) for air conditioning ...

    SBIR Phase I 2022 Department of DefenseNavy
  4. 3D Printing Multifunction Data Cables with Ultrasonic Additive Manufacturing for Improved Radiation Hardening.

    SBC: T.G.V. ROCKETS INC.            Topic: N211096

    The goal of this program is to demonstrate the use of 3D printing to print multifunctional data cables and connections. A new type of 3D printing, Ultrasonic Additive Manufacturing (UAM), allows for thermal elements, electrical elements, structural elements, fiber optics, and radiation shielding to be printed into a single monolithic build. By combining three functions (fiber optics, copper wires, ...

    SBIR Phase I 2021 Department of DefenseNavy
  5. Leveraging Commercial AI/ML for Autonomous NDI's

    SBC: SIMPLE TECHNOLOGY SOLUTIONS INC.            Topic: N204A01

    For Phase I we used commercially available hardware and software to develop a computer vision AI/ML model that detects corrosion in aerial images of vessels. This required robust cloud hosting and cloud platform/applied machine learning capabilities; a fully automated data pipeline; and extensive collaboration with our drone flight services partner to obtain high quality images. To increase the bu ...

    SBIR Phase II 2021 Department of DefenseNavy
  6. (6) Applying AI/ML Methods to Streamline Software Development

    SBC: TCG, Inc.            Topic: N193A01

    Navy seeks to incorporate AI/ML to offload tedious cognitive or physical tasks. Our innovation is self-coding software that reacts to business changes as they happen at low effort and cost. It enables code reuse across the enterprise by referencing code from a common database, so any change can be immediately applied across all applications where it is used. We propose combining tools and techniqu ...

    SBIR Phase I 2020 Department of DefenseNavy
  7. Multiplayer Serious Game for Anti-Submarine Warfare Sonar Operator Training

    SBC: Applied Research In Acoustics LLC            Topic: N192094

    To address the need for anti-submarine warfare (ASW) sonar-operator training that will enable sonar-team personnel to individually and collectively develop domain expertise, maintain proficiency, and overcome skill atrophy while at sea and between deployments ARiA will develop ESAIL-OG (ESAIL-Onboard Game), a multiplayer serious game compatible with the architecture of the ASW combat system and as ...

    SBIR Phase I 2020 Department of DefenseNavy
  8. Undersea Sensor Network Performance Modeling and Cost Tool

    SBC: Applied Research In Acoustics LLC            Topic: N192109

    To enhance the capability of PMS 485, Maritime Surveillance Systems to meet the requirement to design and install new undersea surveillance cable networks and arrays to support the Undersea Warfare (USW) mission, Applied Research in Acoustics LLC (ARiA) and Sound & Sea Technology, Inc. (SST), will leverage their complimentary areas of expertise to develop and demonstrate Array Design Cost and Perf ...

    SBIR Phase I 2020 Department of DefenseNavy
  9. Universal Sensor Definition Schema

    SBC: Applied Research In Acoustics LLC            Topic: N19BT035

    The number of sensors in use by the Navy will never decrease. With each advance in technology comes the cost of implementation and integration into previously matured systems vital to Naval tactical operations. The Universal Sensor Definition Schema is designed to consider and address modern communication needs in challenging environments, be those A) sensor-to-ship, B) ship-to-ship, C) ship-to-sa ...

    STTR Phase I 2020 Department of DefenseNavy
  10. (3) Leveraging Google AutoML for Autonomous NDI's

    SBC: SIMPLE TECHNOLOGY SOLUTIONS INC.            Topic: N204A01

    Simple Technology Solutions (STS) proposes leveraging Google Cloud Artificial Intelligence (AI) / Machine Learning (ML) to conduct autonomous NDI’s to determine or validate if pitting or uniform attack corrosion exists, and therefore if maintenance or repairs are needed. We will use Google AutoML and publicly available datasets of damaged and undamaged platforms to create and train a model that ...

    SBIR Phase I 2020 Department of DefenseNavy
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