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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. Assured Connected and Automated Vehicle (CV/AV) Navigation

    SBC: COHERENT TECHNICAL SERVICES, INC.            Topic: 21FH4

    Assured CA/AV Navigation is a network of receiver-detectors with the ability to communicate reliable and accurate vehicle positioning integrity information for safe operations to individual users. The network approach provides density and sensitivity to rapidly detect and communicate relevant information to impacted vehicles. The solution will develop a highly capable and cost-effective network of ...

    SBIR Phase II 2022 Department of Transportation
  2. Wood Honeycombs for Lightweight, Energy Efficient Structural Applications

    SBC: INVENTWOOD LLC            Topic: T

    InventWood with its partner institutes propose to develop and manufacture lightweight 3D wood corrugated honeycomb structures to replace metal counterparts. The proposed research addresses the Technical Areas of Interest of “Advanced trees as high-performance, durable structural materials and/or as permanent carbon sequestration solutions”. The technical targets for the twoyear ARPA-E project ...

    SBIR Phase II 2021 Department of EnergyARPA-E
  3. Performance Enhancement of Hydrokinetic Arrays Using Reliable, Low-Cost Dynamic Components

    SBC: EMRGY INC            Topic: 1

    Emrgy, Inc., a pioneer in commercializing hydrokinetic power systems, is teaming with Premier Energy Holdings, Stanford University and University of Tennessee, Knoxville to develop a highly innovative solution to low-cost, riverine and tidal-based clean energy power generation. The project will implement “dynamic tuning” of the hydrokinetic turbine system to optimize performance across variabl ...

    SBIR Phase II 2021 Department of EnergyARPA-E
  4. Spatio-Temporal Association and Curve Kernel Networks (STACKNet) for Multi-cue Data Association

    SBC: Intelligent Automation, Inc.            Topic: MDA19T001

    Target tracking involves several steps including detection, filtering and data association. In the proposed effort we propose to develop deep learning based technologies for data association to improve the overall tracking accuracy. Deep learning has shown significant gains in object detection in various domains. More recently, it has shown significant promise in data association and multi-target ...

    STTR Phase II 2021 Department of DefenseMissile Defense Agency
  5. Inception: An Extendable Virtual Execution Framework to Support Dynamic Code Analysis of Embedded Systems

    SBC: Intelligent Automation, Inc.            Topic: MDA19T007

    In this proposed effort, we propose to develop an extendible virtual execution framework to support dynamic code analysis of embedded systems. The key innovation of this proposal includes developments of: (1) an extendible virtual processor subsystem which can integrate a broach set of processor architectures with different instruction-set architecture (ISA) (ARM, PowerPC, RISC-V) and memory archi ...

    STTR Phase II 2021 Department of DefenseMissile Defense Agency
  6. Artificial Intelligence-based Recommender for Model-Based Systems Engineering (ARMS)

    SBC: NEXCEPTA INC            Topic: MDA22T002

    There is a critical need for innovative recommendation technology for digital data engineering artifacts and tools. To address this need, we propose design and implement the Artificial Intelligence-based Recommender System for Model-Based Systems Engineering (ARMS) software as a user-personalized context-aware content recommender system solution for Model Based Systems Engineering (MBSE) applicati ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  7. Deep Reinforcement Learning Enabled Warfighter Assistant (DICE)

    SBC: NEXCEPTA INC            Topic: MDA22T004

    Deep reinforcement learning (DRL) provides strong capabilities to make decisions under uncertain and complicated scenarios. However, there is a lack of explainability of DRL when applied to assist warfighters in training and operational scenarios. To address this critical need, we propose to develop Deep Reinforcement Learning Enabled Warfighter Assistant (DICE). The key innovation of DICE is util ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  8. Development of ZTF Occupant Detection System

    SBC: Zeteo Tech, Inc.            Topic: 20NH1

    Zeteo Tech, Inc. and FLIR Systems will develop a concept for the Development of ZTF Occupant Detection System. ZTF will use a rigorous systems engineering approach to mature the ZTF Vehicle Occupant Detection System conceptual design to a highly functional, cost-affordable design of a pre-product that would be developed and tested in a Phase II effort.ZTF will conduct a marketing study to evaluate ...

    SBIR Phase II 2021 Department of Transportation
  9. Broad Spectrum Adsorption-Flurescence method for Determining Adsorption Capacity of Fly Ash

    SBC: PHOSPHORTECH CORP            Topic: 171FH1

    Interference of unburned and activated carbon in fly ash with air-entraining admixtures (AEA’s) in fresh concrete mixtures is a major concern in the concrete industry. Therefore, a rapid and accurate measurement of adsorption capacity of fly ash is of great interest to this industry.In this project, a new method is suggested, which can qualitatively and quantitatively measure different surfactan ...

    SBIR Phase II 2021 Department of Transportation
  10. Extended Life Coatings for Electrochemical Machining Tools

    SBC: TECHNOLOGY ASSESSMENT AND TRANSFER, INC.            Topic: MDA22001

    Electrochemical Machining (ECM) is a non-traditional process finding extensive use in aerospace and automotive industries that uses a tool (cathode) in an electrolyte medium to produce highly smooth, complex surfaces via electrolytic dissolution of the metal part (anode) being machined. Although the cathode is not in contact with the part and ECM is touted as no wear, it is plagued by stray curren ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
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