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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. Artificial intelligence and machine learning algorithms to detect defects in additive manufacturing by fusing multiple sensor data

    SBC: ADDIGURU, LLC            Topic: N222117

    While additive manufacturing (AM) has enabled the fabrication of complex geometries, process repeatability, and part quality has been an inhibitor to widespread industry adoption. Parts fabricated using metal AM can have their mechanical properties compromised due to the presence of defects. Presently, quality assurance is achieved by X-ray Computed Tomography (CT), which is costly and time-consum ...

    SBIR Phase I 2023 Department of DefenseNavy
  2. 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
  3. Reversible Replenishment Air Conditioning System (R2 ACS)

    SBC: BASCOM HUNTER TECHNOLOGIES INC            Topic: N231064

    Latent heat loads, associated with the condensation of water vapor in outside air, impose up to 40% added cooling demand on naval vessel air conditioning systems, which in turn significantly increases the power consumption of the system.  This Technical Proposal is to develop and verify a novel means of reducing the latent loads to significantly reduce the power consumption of ship-based air cond ...

    SBIR Phase I 2023 Department of DefenseNavy
  4. One Way Luminescent (OWL) Tracer Technology for 40mm Ammunition

    SBC: GLOWSENS, LLC            Topic: N231005

    Marine Corps Systems Command (MCSC) has expressed, via SBIR N231-005, a need to observe the flight path of 40mm projectiles, in order to reduce the time required to adjust fire without exposing the firing position using luminescent tracer technology. Our objective is to develop the capability for the observation of projectile trajectories, with a desired degree of visibility (DOV). Therefore, corr ...

    SBIR Phase I 2023 Department of DefenseNavy
  5. Universal FCA Operations Regulating Module (UNIFORM)

    SBC: BASCOM HUNTER TECHNOLOGIES INC            Topic: N221054

    To address the Navy’s needs for an efficient, modernized fan-coil assembly, Bascom Hunter proposes UNIFORM, the Universal FCA Operations Regulating Module, an adaptive system designed for legacy FCA replacement and future vessel integration. UNIFORM incorporates high-efficiency centrifugal fans and improved size, weight, and performance (SWaP) plate-fin heat exchangers, all packaged into a unive ...

    SBIR Phase I 2022 Department of DefenseNavy
  6. Streamlined Inlet Guide and Heat Transfer Surface (SIGHTS)

    SBC: BASCOM HUNTER TECHNOLOGIES INC            Topic: N22AT002

    Bascom Hunter proposes the development of streamlined inlet guide and heat transfer surfaces (SIGHTS) to meet the Navy’s objective of an aerodynamic and multifunctional heat exchanger for aircraft inlets. Bascom Hunter specializes in the design, development, and manufacture of compressors and fans for the aerospace and defense industry.  SIGHTS will be designed to withstand the harsh environmen ...

    STTR Phase I 2022 Department of DefenseNavy
  7. Implementing Neural Network Algorithms on Neuromorphic Processors

    SBC: BASCOM HUNTER TECHNOLOGIES INC            Topic: N202099

    Bascom Hunter has demonstrated in Phase 1 the superior performance of photonic based neurons within Continuous Neuromorphic Computing architectures in both electronic and hybrid-photonic hardware. In Phase 2 we will extend that work to create designs for a Neuromorphic Toolbox of solutions providing Electronic, Spiking Electronic and Hybrid Photonic hardware for Neural Network topologies. These de ...

    SBIR Phase II 2022 Department of DefenseNavy
  8. Satellite Terminal (transportable) Non-Geostationary (STtNG)

    SBC: BASCOM HUNTER TECHNOLOGIES INC            Topic: N112170

    STtNG is a new U.S. Navy shipboard carry-on unclassified satellite communications terminal that will be capable of operating over non-geostationary satellites. These satellites will include, eventually, proliferated Low Earth Orbit (PLEO) systems, such as SpaceX Starlink and Amazon Kuiper, Medium Earth Orbit (MEO) systems, such as SES O3b Classic and SES mPOWER, Highly Elliptical Orbit (HEO) syste ...

    SBIR Phase II 2022 Department of DefenseNavy
  9. Unitary Braid Division Multiplexing

    SBC: BASCOM HUNTER TECHNOLOGIES INC            Topic: N112170

    Bascom Hunter Technologies, along with Rampart Communications, proposes a solution to the Navy's need for waveforms that are truly featureless for resilient Low Probability of Detection (LPD) and Low Probability of Interception (LPI) links, without compromising reliability, throughput, or performance. This solution is called Unitary Braid Division Multiplexing 2.0 (or UBDM 2.0) and is built on pr ...

    SBIR Phase II 2022 Department of DefenseNavy
  10. 3D Printed Manufacturing Robots for disaster response "3DPMR"

    SBC: BASCOM HUNTER TECHNOLOGIES INC            Topic: N202099

    When choosing hardware for implementing neural networks, one must consider what are the most important performance constraints for the operator in the field. We propose to implement low-latency, high-bandwidth neural networks employing hardware such as FPGAs and novel neuromorphic photonic chips. It is often assumed that pattern classification networks are best when they can classify a large numbe ...

    SBIR Phase I 2021 Department of DefenseNavy
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