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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. ALLVAR Alloys for Athermalizing SiC Telescopes with Reduced SWAP-C

    SBC: Thermal Expansion Solutions, Inc.            Topic: MDA21001

    The Ultimate Goal of these research efforts is to develop ALLVAR Alloy athermalizing strut components that enable size, weight, cost, lead time, and performance enhancements of SiC mirrored optical seekers that must withstand extreme exo-atmosphere, endo-atmosphere, and mechanical loading environments. ALLVAR Alloys offer a brand-new strong and ductile support structure solution that can offer low ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  2. Advanced Superlattice LED System (ASLEDS)

    SBC: Chip Design Systems Inc.            Topic: MDA21018

    Single-color MWIR LED arrays have made steady progress in demonstrating good performance, operability, efficiency, and reliability. On the other hand, dual-color MWIR LED arrays are highly desirable for testing dual color sensors. Compared to the optical combining approach, native dual-color LED arrays offer many benefits, including reduced system size and simpler optical system design. The propos ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  3. Quantum-Computing-Aided Materials Research and Development

    SBC: TEXAS RESEARCH INSTITUTE , AUSTIN, INC.            Topic: MDA22T007

    Quantum computing has the potential to exponentially outperform classic computers for certain problems due to their use of qubits. The use of quantum computing could be particularly useful for the discovery of novel lightweight materials with high-temperature strength properties that far exceed traditional material systems. One exciting class of materials known as High Entropy Alloys (HEAs) are al ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  4. ALLVAR Alloys for Athermalizing SiC Telescopes with Reduced SWAP-C

    SBC: Thermal Expansion Solutions, Inc.            Topic: MDA21001

    This Phase I seeks to develop optical seekers that must operate in the endo-atmosphere and exo-atmosphere with high mechanical and thermal stability. ALLVAR Alloy support structures have the potential to create smaller, lighter, and lower cost athermalization solutions for Silicon Carbide (SiC) mirrored telescopes without sacrificing the thermal stability traditionally associated with monolithic o ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  5. 3D Collaborative BattleSpace Visualization, Capture, and Playback

    SBC: FoVI 3D, Inc.            Topic: MDA21004

    FoVI3D is developing a 3-person, graphical workstation called PRISM to promote collaborative 3D visualization. The PRISM workstation consists of wide field-of-view monitors for rendering 3D content as well as high-resolution, 2D touch panels for the customized presentation of operator controls and data. The PRISM graphics API is based on ObjGL, a high-level, cross-platform, and display-agnostic gr ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  6. Thermally Resistant Polyimide Seals

    SBC: TEXAS RESEARCH INSTITUTE , AUSTIN, INC.            Topic: MDA21011

    There is an interest in new designs of solid propellant rockets which can provide greater impulse and thrust. Taking advantage of higher burn temperatures could facilitate these improvements, but it also requires rocket material components, such as dynamic seals, to be redesigned to meet the higher thermal demands. Dynamic seals are typically found in movable pintle valves inside a rocket nozzle t ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  7. Kill Enhancing Device

    SBC: Energetic Materials & Products, Inc.            Topic: MDA21016

    Ability to defeat hypersonic glide vehicles (HGV’s) requires innovative concepts. Increasing effective kill volume of a warhead is a key metric for evaluating probability of hit of an HGV. EMPI has a depth of experience developing lightweight fragmentation panels and will leverage over five years of experience in our proposed warhead to enhance the probability of kill. Our solution provides redu ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  8. Next-Gen Infrared Scene Projector for Hypersonic Hardware-in-the-loop Test and Evaluation (ASLEDS)

    SBC: Chip Design Systems Inc.            Topic: MDA21018

    The proposed solution is to develop an infrared light emitting diode (LED) scene projector and the associated system components that shall meet the DoD scene projection requirements and specifications. The unique feature of the proposed solution is the demonstration of a dual-band projector with record-breaking resolution and frame-rate of 2K x 2K x 1KHz for full-frame moving image projection. For ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  9. Federated Learning based Cooperative Sensing for Efficient Threat Detection (FedSense)

    SBC: KNOWLEDGE BASED SYSTEMS INC            Topic: MDA21020

    Knowledge Based Systems, Inc. (KBSI) proposes to extend the federated learning (FL) architecture to support flexible and integrated interceptor discrimination and decision making. Specifically, KBSI will research, design, and demonstrate the Federated Learning based Cooperative Sensing for Efficient Threat Detection (FedSense) framework that allows models that are learnt locally at terminal nodes ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  10. Salvo Management Using Artificial Intelligence (SAM)

    SBC: KNOWLEDGE BASED SYSTEMS INC            Topic: MDA21021

    KBSI proposes to develop an artificial intelligence/machine learning (AI/ML) based decision aid for salvo management of ground based mid-course interceptors of multiple types (varying capabilities and reliabilities) against raid scenario threats to the homeland. The proposed solution simulates realistic raid scenarios based on realistic but challenging adversary raid strategies. The optimal salvo ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
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