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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. Air Platform Passive Occupant Protection

    SBC: SAFE INC            Topic: A18001

    Body flailing during a severe helicopter crash can lead to injury or death when the head and upper torso strike rigid objects within the flail envelope.Currently fielded restraint systems allow a large flail envelope because the strap routing and anchor positions require some body motion to occur before the straps can develop significant reaction loads.Safe, Inc. (Safe) is proposing an alternate d ...

    SBIR Phase I 2018 Department of DefenseArmy
  2. Novel Flame Inhibiting Materials to Increase Red Phosphorus Obscurant Safety

    SBC: GENERAL SCIENCES INC            Topic: A18055

    The proposed effort provides several concepts for improving the use of Red Phosphorus (RP) by retarding flame size and temperature as well as reducing incendiary properties of RP pots/devices and phosphine generation in storage without reducing obscuration efficiency. The proposed concepts include burning RP under fuel rich conditions which will include a) high ratios of RP/oxidizer, b) coating RP ...

    SBIR Phase I 2018 Department of DefenseArmy
  3. Increased Capacity Retention of Silicon Anodes for Lithium Batteries

    SBC: LITHIUM BATTERY ENGINEERING Limited Liability Company            Topic: A18036

    This proposal offers a new approach to stabilizing the very high capacity Si to use for lithium ion anodes - the use of a LiSi alloy rather than only Si. By starting with a silicon alloy instead of pure silicon, the initial structure is already in a stable expanded state. Mathematically stresses encountered on charging and discharging are reduced when the silicon is partially lithiated. It has bee ...

    SBIR Phase I 2018 Department of DefenseArmy
  4. Innovative Bridge Launch Linkage Assembly

    SBC: NOVUS TECHNOLOGIES CORPORATION            Topic: A18108

    The US Army currently uses the Armored Vehicle-Launched Bridge (AVLB) to temporarily span gaps in the terrain such as rivers, ravines or replace blown-up bridges. The launch system utilizes an in-bridge hydraulic cylinder and cable-pulley system to deploy and retrieve the 63-foot-long scissor type bridge. This hydraulic cylinder and cable- pulley system is bulky, heavy and adds significant load to ...

    SBIR Phase I 2018 Department of DefenseArmy
  5. Coordination and Cooperation in Ad-Hoc Networks in Congested and Contested Environments

    SBC: MAXENTRIC TECHNOLOGIES LLC            Topic: A18051

    There is a definite need for tactical ad-hoc networks to understand to which degree communications can still occur in congested and contested environments where power sources are short-lived, the spectrum is limited and where jamming (both friendly and adversarial) can occur spontaneously and without warning. In this situation, network nodes will need to cooperate and coordinate negotiate ways for ...

    SBIR Phase I 2018 Department of DefenseArmy
  6. ADHoC Adversarial Machine Learning for the Hardening of Cyber Defenses

    SBC: SIEGE TECHNOLOGIES, LLC            Topic: A18050

    Siege proposes to develop the ADHoC (Adversarial Machine Learning for the Hardening of Cyber Defenses) software capability which combines a novel implementation of adversarial machine learning with a high-fidelity cyber simulation and evaluation environment to harden DML. The proposed solution provides a process for pairing cyber-attacks with AML algorithms in order to defeat DML systems. Through ...

    SBIR Phase I 2018 Department of DefenseArmy
  7. Deep-etched pixels for dualband SLS FPAs

    SBC: QMAGIQ LLC            Topic: A18039

    Deep etching is necessary for pixel definition in multi-band infrared focal plane arrays (FPAs) consisting of stacked photodiodes.To eliminate optical crosstalk between pixels and improve modulation transfer function (MTF), the trenches between pixels have to be etched sufficiently deep, resulting in high aspect ratios greater than ~ 5-to-1 in short-pitch FPAs.The resulting loss in optical fill-fa ...

    SBIR Phase I 2018 Department of DefenseArmy
  8. High Definition "LACHI" Sensor

    SBC: Wavefront Research, Inc.            Topic: A17047

    The primary goal of this Phase II effort is to design, fabricate, and evaluate a compact, lightweight, demonstration LWIR hyperspectral imaging sensors enabled by an innovative design form and dispersing element technology that is suitable for use on uninhabited aerial vehicles (UAVs). An alignment and test procedure will be developed for the assembly and integration of the spectrometer and imagin ...

    SBIR Phase II 2018 Department of DefenseArmy
  9. Data Security and Integrity Enhancements for Databases in the Tactical Environment

    SBC: MAXENTRIC TECHNOLOGIES LLC            Topic: A17037

    Maxentric’s solution provides multi-level security and information flow control with cell level encryption for existing relational databases. At the tactical edge, access to advanced cloud based services such Apache Accumulo may not be possible. The novel database solution allows these types of services to be deployed in any point of the network, but also to be integrated in already existing app ...

    SBIR Phase II 2018 Department of DefenseArmy
  10. Tunable Textured Composites for Lightweight Power Systems

    SBC: QORTEK INC            Topic: A17008

    Based upon the successful completion of the Phase I program, the Phase II program aims to continue to development of the voltage tunable inductors (VTIs). The program will improve the Phase I textured magnetics approach and develop models that accurately describe the relationship between the material properties, tunability, and geometry. From these results, optimized VTIs will be manufactured and ...

    SBIR Phase II 2018 Department of DefenseArmy
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