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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. Machine Learning Toolkit for Grey Literature Screening

    SBC: VISIMO LLC            Topic: 6A

    VISIMO’s ML Toolkit for Grey Literature Screening will reduce bias in, and improve accuracy of, systematic reviews (SRs) for chemical risk assessment. Grey literature is notoriously difficult to screen and tag, and despite its importance, researchers often exclude grey literature from their SRs due to necessity. VISIMO’s Toolkit will enable researchers to filter full documents of all types and ...

    SBIR Phase I 2023 Environmental Protection Agency
  2. Physiological Monitoring in Swimmers and Divers

    SBC: PinMed, Inc.            Topic: A234004

    Redacted

    SBIR Phase I 2023 Department of DefenseArmy
  3. Noise Masked Communication System (NMCS)

    SBC: NOKOMIS INC            Topic: A22003

    The proposal offers solution to the problem of covert communication. The suggested solution is based embedding data in Additive White Gaussian Noise (AWGN) with Signal to Noise Ratio (SNR) to be in range from -5 to -20 dB. To embed the data and extract it without loss a method of Singular Spectrum Analysis.  Nokomis solution meets the goals formulated in the solicitation: it is Noise Masked; it i ...

    SBIR Phase I 2023 Department of DefenseArmy
  4. Rapid Chemical Vapor Threat Mapping with Cooperative Ground and UAS Sensors

    SBC: MESH INC            Topic: A10AT022

    A single, ground-based, passive, standoff chemical agent vapor sensor cannot map a chemical vapor cloud because passive sensors only measure direction and not range to vapor clouds. It is not always possible, especially for a ground vehicle mounted standoff sensor, to have additional ground-based sensors at favorable vantage points to assist in threat mapping. The objective of the proposed effort ...

    STTR Phase II 2023 Department of DefenseArmy
  5. Strados Remote Electronic Stethoscope Platform for Physiological Monitoring

    SBC: STRADOS LABS, INC            Topic: A224025

    Redacted

    SBIR Phase I 2023 Department of DefenseArmy
  6. Strados RESP Biosensor for Respiratory and Fatigue Monitoring

    SBC: STRADOS LABS, INC            Topic: A224025

    Redacted.

    SBIR Phase II 2023 Department of DefenseArmy
  7. EO/IR Architecture Study for Highly Mobile TeUAS

    SBC: KEF ROBOTICS INC            Topic: A214041

    The basic components of the requested TeUAS—the ground and air platforms—are technically mature. Thus, the primary challenges of this connected and agile tethered system relate to algorithms for sensing real world hazards relevant to battlefield operations: the detection of obstacles such as power lines and wires at sufficient distances in the visual and IR spectra; the efficient, information- ...

    SBIR Phase I 2022 Department of DefenseArmy
  8. Dodge Underneath for Collision-Avoidance Kit for Tethered UAS (DUCK TeUAS)

    SBC: Dragonfly Pictures, Inc.            Topic: A214041

    Current tethered Unmanned Aerial System (UAS) technology features systems that have low levels of autonomy and fly directly above the host platform.  Some systems are able to offset from this host.  While technological advancements have been made for autonomous Unmanned Ground Vehicles and UAS, this autonomy kit has not been integrated or investigated with tethered UAS. DPI UAV Systems in collab ...

    SBIR Phase I 2022 Department of DefenseArmy
  9. Data compression for low-latency, high-fidelity, and ultra-reliable AR/VR in bandwidth constrained environments.

    SBC: SABRE SYSTEMS INC            Topic: A19139

    The US Army is developing a sophisticated Synthetic Training Environment (STE), a federation of globally distributed training assets, which combines traditional live training exercises with virtual training environments, constructive training environments, and various Army gaming and simulator systems. In Phase II of this program, a functional prototype of a software-defined machine learning (ML)- ...

    SBIR Phase II 2022 Department of DefenseArmy
  10. Dynamic Frame Rate Throttling

    SBC: Sage Technologies, Ltd.            Topic: A20037

    Phase 2 DFRT SBIR will build on the Phase 1 DFRT capabilities Sage Technologies demonstrated as possible. This Phase 2 will be focusing on enhancing the camera DFRT capabilities to support a real-time dynamic demonstration in Phase 2. Phase 1 was focused on the DFRT feasibility while Phase 2 is focused on integrating all the required capabilities to support dynamic testing of the camera DFRT feat ...

    SBIR Phase II 2022 Department of DefenseArmy
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