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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. Provably Unclonable Functions on Re-configurable Devices

    SBC: Potomac Research LLC            Topic: A18BT001

    Physically UnclonableFunctions (PUFs) have been proposed as central building blocks in cryptographic protocols and security architectures. PUFs are physical devices that exhibit a challenge/responsebehavior: when presented with a challenge, the device produces a response that is a random function of both the challenge and the physical properties of the device.In contrast to most digital designs, i ...

    STTR Phase I 2018 Department of DefenseArmy
  2. High Voltage Wide-Bandgap Motor Controller

    SBC: GLOBAL EMBEDDED TECHNOLOGIES, INC            Topic: A18100

    On military vehicles, high voltage components will reduce space, weight and cooling, improve fuel efficiency, optimize vehicle performance, and increase defense and mission capabilities.Advanced high voltage electrical loads are being created and the electrification of loads allows for the removal of constant mechanical drag on the engine, an increase in efficiency and capability through variable ...

    SBIR Phase I 2018 Department of DefenseArmy
  3. Common FADEC Interface Software

    SBC: MANAGEMENT SCIENCES INC            Topic: A18080

    In a current SBIR contract, MSI has developed an intrinsically passive modular avionic module with a real time operating system and data-driven Cognitive Bayesian models that provides situational awareness. In the Phase III transition contract, the focus is a software interface for the Full Authority Digital Engine Controllers (FADEC) deployed in the MQ-9, RQ-4, C-130J, and V-22 aircraft. The EPIC ...

    SBIR Phase I 2018 Department of DefenseArmy
  4. Affordable Electric Unmanned Ground Vehicle Force Protection Sensor System-- 18-025

    SBC: METRON INCORPORATED            Topic: A18085

    Force protection represents a critical safety priority for Army units serving in Forward Operating Bases (FOBs). While current systems are extending sensor reach beyond the base’s perimeter via elevated sensor platforms, further advances in threat detection beyond the boundary are possible with sensors outside the FOB. Unmanned Ground Vehicles (UGVs) can provide a safe and cost-effective wa ...

    SBIR Phase I 2018 Department of DefenseArmy
  5. Air Platform Passive Occupant Protection

    SBC: GS ENGINEERING INC            Topic: A18001

    Seated aircrew members rely on their five-point harnesses to position their bodies correctly within their seats in order to provide the best chance of survivability during a rapid deceleration event. The current system requires the user to adjust each of five straps manually in order to correctly position the central rotary buckle in such a way to minimize potential internal injuries. For a variet ...

    SBIR Phase I 2018 Department of DefenseArmy
  6. Radar for Obstacle Avoidance and Detection in all Environments (ROADE)

    SBC: McQ Inc.            Topic: A18040

    The purpose of this SBIR is to provide a low resolution imager that is unaffected by DVE (Degraded Visual Environments) encountered by Army ground vehicles. While LWIR cameras provide suitable image quality for navigation in daytime, nighttime, and light dust conditions, the quality degrades significantly in heavy dust, fog, or smoke conditions. The imager will be integrated together with a high r ...

    SBIR Phase I 2018 Department of DefenseArmy
  7. Solid State UV Raman Trace Explosive Detector

    SBC: SPECTRAL SENSOR SOLUTIONS, LLC            Topic: A18057

    Spectral Sensor Solutions proposes a combined experimental and analytical evaluation of innovative state-of-the-art technologies to design an optimal portable UV Raman instrument for the detection of trace explosive residues. To accomplish this, we leverage our extensive experience in the phenomenology, spectroscopy, end-to-end modeling, electro-optical engineering and test and evaluation of UV Ra ...

    SBIR Phase I 2018 Department of DefenseArmy
  8. Variable Stiffness Non-Pneumatic Tire for On-Highway and Off-Road Performance

    SBC: FLEXSYS INC            Topic: A18101

    Military non-pneumatic tires are typically used in environments where the tire is susceptible to hazards such as explosions, ballistics, and road debris because they can continue to function when pneumatic tires would have typically failed from loss of air pressure. However, by varying tire pressure, pneumatic tires have the benefit of offering functionality at sustained highway speeds on paved ro ...

    SBIR Phase I 2018 Department of DefenseArmy
  9. Covert and Dynamic Communications Arrays at V-Band Frequencies

    SBC: Nuvotronics, LLC            Topic: A18025

    Millimeter-wave frequencies of operation are increasingly attractive for a variety of military applications because of possible performance, size and cost advantages on space and power-constrained platforms. Nuvotronics proposes a solution for secure, high-bandwidth data links operating at V-band frequencies with the ability to dynamically adjust multiple characteristics of the communications chan ...

    SBIR Phase I 2018 Department of DefenseArmy
  10. Machine Learning Enabled Near-Real-Time Situational Response for Mechanical Systems

    SBC: Potomac Research LLC            Topic: A18034

    We propose RADEC: Reservoir-based Anomaly DEtection and Control, a system based on the reservoir computing paradigm of machine learning for model-free timeseries prediction and estimation.Reservoir computing uses fast, efficient training algorithms to learn the dynamics of a timeseries, and can be trained in an online mode to adapt to changing systems.The RADEC system consists of two main componen ...

    SBIR Phase I 2018 Department of DefenseArmy
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