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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. Hydrothermal Catalysis Flow Process to Convert Brown Grease into Green Gasoline, Green Jet and Green Diesel Fuels

    SBC: SARTEC CORPORATION            Topic: 08a

    The primary challenges for creating renewable fuels are the ability to process inexpensive non-food feedstocks into biofuels that meet all quality specification, perform indistinguishably from petroleum-based fuels and are compatible with current infrastructure.Our Phase I project demonstrated the feasibility of producing biofuels from waste greases using a novel hydrothermal, continuous-flow cata ...

    SBIR Phase II 2019 Department of Energy
  2. Engineering Analysis and Design of CO2 Geothermal Power System to Provide Dispatable Geothermal Electricity Generation and Grid-Scale Energy Storage

    SBC: TERRACOH INC            Topic: 11b

    In topic 11.b, Dispatchable Geothermal Operations, DOE seeks to enable more widespread deployment of geothermal as a dispatchable energy source.TerraCOH’s CO2 Plume Geothermal (CPG™) and Earth Battery™ technologies are ideally suited to meet DOE’s needs.Conventional geothermal power technology has generally been limited to use as a baseload power source, but with increasing penetration of ...

    SBIR Phase II 2019 Department of Energy
  3. Grand Unified Modeling of Behavioral Operators (GUMBO)

    SBC: ADVENTIUM ENTERPRISES, LLC            Topic: A18110

    Grand Unified Modeling of Behavioral Operators (GUMBO) will combine several different Architecture Analysis and Design Language (AADL)-based behavior modeling approaches into a single Unified Behavior Representation (UBR), coupled with fast, lightweight analysis and highly automated, usable verification for detailed designs. Component vendors will supply behavioral and interface specifications usi ...

    SBIR Phase I 2019 Department of DefenseArmy
  4. Biometrics Enhanced Sensor Technology (BEST)

    SBC: Minimum Entropy, LLC            Topic: A18127

    Modern force protection systems lack the ability to identify persons of interest through automated video and imagery analytics. In many force protection scenarios, especially at long distances and even with high quality sensors and optics, the number of pixels on a face are limited and thus is necessary to develop a purpose built low resolution face recognition model. Under this proposal, Minimum ...

    SBIR Phase I 2019 Department of DefenseArmy
  5. Tooling to Understand Ripple Effect Costs (TUREC)

    SBC: ADVENTIUM ENTERPRISES, LLC            Topic: A18134

    When upgrading or redesigning a complex system, it is crucial to under- stand the impact of design changes on the system’s resulting costs, especially costs related to re-certification. System-level requirements cut across several components and subsystems, includ- ing size, weight, and power budgets; bandwidth and processor utilization; timing constraints; safety requirements; and security cont ...

    SBIR Phase I 2019 Department of DefenseArmy
  6. Novel Nanocoating technology for Functional Textile

    SBC: Claros Technologies Inc.            Topic: A18BT024

    Nanoparticles represent an attractive alternative in coating processes due to their functional versatility, including surface, optical, conductive and catalytic properties. However, current processes of coating textile products with nanoparticles results in rapid loss of the nanoparticles during laundering or use, leading to a significant decrease in product durability and functionality and increa ...

    STTR Phase I 2019 Department of DefenseArmy
  7. VANESSA: Virtual Analysis Networks and Explanations for Social Sensing Analysis

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: A18BT008

    SIFT, JHU medicine and University of Central Florida are proposing to develop VANESSA (Virtual Analysis Networks and Explanations for Social Sensing Analysis) - a social sensing platform providing team diagnostics of interacting teams and recommendations for enhanced team functioning of human and human-cyber teams. The overall goal of VANESSA is to develop an adaptive technology platform with a fo ...

    STTR Phase I 2019 Department of DefenseArmy
  8. SR-Blockchain (Scalable and Reliable Blockchain for Low Bandwidth and Disconnected networks)

    SBC: ARCHITECTURE TECHNOLOGY INC            Topic: A19031

    Current messaging infrastructures, which are based on centralized architectures, are expensive, inefficient and vulnerable to cyber-attack. The overhead costs of building and maintaining these systems are huge. Decentralized ledger architecture based on blockchain technology presents a new platform for developing secure and efficient messaging software. The Army has identified the need for a scala ...

    SBIR Phase I 2019 Department of DefenseArmy
  9. CluNet (Mobile Cluster Network)

    SBC: ARCHITECTURE TECHNOLOGY INC            Topic: A19059

    Applications running on powerful clusters represent invaluable assets for use cases such as decision support and clinical information. However, in emergency situations such as after a natural disaster or in the battlefield access to such powerful systems might be limited or nonexistent. In such scenarios, users have to rely on the limited resources they have on-site which are typically mobile devi ...

    SBIR Phase I 2019 Department of DefenseArmy
  10. DRAS (Data Refinery for Aviation Sustainment)

    SBC: ARCHITECTURE TECHNOLOGY INC            Topic: A18004

    Noise in the source data limits effectiveness and utility of models, algorithms and tools used by the Army for Condition Based Maintenance (CBM+) of its aviation fleet. This impedes the sustainment and availability of its aviation fleet. The Data Refinery for Aviation Sustainment (DRAS) applies methods and techniques from statistics, data science, machine learning and data management to refine the ...

    SBIR Phase II 2019 Department of DefenseArmy
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