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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. Geothermal Energy Generation Using Dormant Wells in High-Temperature Shale Sedimentary Areas

    SBC: RENASCENT ENERGY MANAGEMENT LLC            Topic: C5513a

    C55-13a-270233The project embodies a field demonstration of a novel geothermal process via water injection into a shut- in existing well (already drilled & hydraulically fractured, and shut-in) for a short period, and then that injected water, having been heated by contacting the subsurface rock, is produced back to the surface (via the same well through which it was injected). This intermittent p ...

    SBIR Phase I 2023 Department of Energy
  2. AC-LGAD silicon detectors with alternate gain layer for improved reliability

    SBC: EPIR, INC.            Topic: C5522c

    C55-22c-270318More stringent challenges, as required by future high energy physics experiments, require higher radiation tolerance and higher granularity to the silicon detectors. Recently developed precision timing detector technology based on silicon Low Gain Avalanche Diode (LGAD) although exhibits excellent timing performance, cannot attain 10 µm position resolution needed for advanced 4D det ...

    SBIR Phase I 2023 Department of Energy
  3. Computer environment supporting biosystem design guided by machine learning

    SBC: BioSynthetic Machines, Inc            Topic: C5517a

    BioSynthetic Machines, Inc. (BSMI) is a Chicago, IL-based startup company launched in late 2021 with a goal to revolutionize design and engineering of the microorganisms for production of chemicals. We utilize the innovative machine learning (ML) and experimental methods of synthetic biology developed by the founders at Argonne National Laboratory and exclusively licensed to the company. Our proof ...

    SBIR Phase I 2023 Department of Energy
  4. Supporting Sparse Data in HDF5

    SBC: LIFEBOAT LLC            Topic: C5501a

    Sparse data is common in many scientific disciplines. Examples include large-scale simulations of physical phenomena, High Energy Physics experiments, machine learning applications, and many more. Acquired data is stored in a scientific data format that became a de facto standard for data management in government, academia and industry. As the amount of data in the scientific format continues to g ...

    SBIR Phase I 2023 Department of Energy
  5. Network Risk Assessment Toolkit (NetRAT)

    SBC: PROTECTION ENGINEERING CONSULTANTS LLC            Topic: C5501b

    C55-01b-270620Infrastructure systems such as electricity distribution and transmission grids, transportation networks, and water or oil/gas distribution pipelines are critical from an economic and national security standpoint. Expedited risk quantification of infrastructure network systems is of utmost importance for resiliency assessment against natural or man-made hazards. Currently available te ...

    SBIR Phase I 2023 Department of Energy
  6. Low-loss thermomechanically stable packaging for cryogenic quantum photonic network devices

    SBC: MEMQ INC            Topic: C5504b

    C55-04b-270703The photonic approach to quantum information processing and networking is promising – it is expected that the quantum internet will be substantially built on optical fiber networks, where qubits can be exchanged over long distances via photons with wavelengths in the telecom range. The field of quantum photonics is continually developing and devices are being fabricated on scalable ...

    SBIR Phase I 2023 Department of Energy
  7. Generalizable Electrocatalyst Design Framework Combining Multi-Modal Data and Artificial Intelligence

    SBC: Stoicheia, Inc.            Topic: C5505a

    C55-05a-270716Deep decarbonization is urgently needed across the board to solve the climate crisis. While carbon emissions associated with electricity production have reduced significantly over the past decade due to a precipitous decline in solar, wind, and battery costs, several sectors including chemicals and industrial transportation remain hard- to-abate. Specifically, by shifting chemical an ...

    SBIR Phase I 2023 Department of Energy
  8. AI-Guided, Multi-Modal, Multi-Scale (AIM3S) Anomaly Detection in Multi-Dimensional STEM/EELS

    SBC: SIVANANTHAN LABORATORIES, INC.            Topic: C5314b

    C53-14b-271071The increasing data rates in conventional and scanning transmission electron microscopy, afforded by the developments of faster detectors and novel in-situ methods, requires automation of post- acquisition data analysis and, ideally, identification of regions of interest during experimental data acquisition. The overarching objective of this program is to leverage a suite of cutting- ...

    SBIR Phase II 2023 Department of Energy
  9. Versatile, High-Density, High-Yield, Low-Capacitance 3D Integration for Nuclear Physics Detectors

    SBC: EPIR, INC.            Topic: C5333b

    C53-33b-271095Recently developed precision timing detector technology based on silicon Low Gain Avalanche Diode (LGAD) although exhibiting excellent timing performance, cannot attain 10µm position resolution needed for advanced 4D detectors. New small-pitch detector solutions are being developed which necessitates development of complimentary Application Specific Integrated Circuits (ASICs) and r ...

    SBIR Phase II 2023 Department of Energy
  10. Optimizing Solid Electrolyte and Air Electrodes for High Energy, 3D Na-Air Battery

    SBC: DAYLYTE, INC.            Topic: C5318c

    C53-18c-271136The lack of affordable large-scale batteries makes electric vehicles too expensive for most consumers and makes renewable energy storage financially impractical for almost everyone. Although Li-ion battery prices have fallen over the past three decades, they are threatening to rise higher as Li-ion production for electric vehicles is predicted to consume the world’s high-grade coba ...

    SBIR Phase II 2023 Department of Energy
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