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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. In-Situ Space Weather Analysis

    SBC: ORBOTIC SYSTEMS INC            Topic: 95

    The goal of this Phase 1 SBIR is for Orbotic Systems to prove the feasibility of generating in-situ, global, ionospheric­thermospheric neutral density and wind ion data on a near real-time basis. Orbotic Systems is developing an instrument called WIND (Wind Ion Neutral Density). This proposal leverages Technology Readiness Level (TRL) 7 and 8 hardware and software as the basis to develop a new ge ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Low-Cost, Low-Power Sensor Nodes for Monitoring Air Quality Impacted by Wildfire Smoke

    SBC: INTERLINK ELECTRONICS, INC            Topic: 91

    "The impact of wildfires on air quality in the surrounding hundreds of miles has been discussed since the ‘70s. There have been a number of studies investigating the severity of the impact of wildfire smoke on the health of people in affected areas that have shown that hundreds of thousands of people die as a consequence of smoke-tainted air. Many studies focus on the impact of particulate matte ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. DeepRL Sim-to-Real

    SBC: PIERRE JOHN M LLC            Topic: SCO182006

    Project FORCIS investigates solutions to the challenging problem of few-shot object detection. FORCIS leverages synthetic training data generated by simulation engines which are dynamically parameterized to maximize utility to a downstream deep-learning algorithm. We explore this approach, inspired by advances in the Reinforcement Learning (RL) branch of machine learning (ML), and contrast it agai ...

    SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense
  4. Atomic fusion wafer bonding tool for ultra-high power switches

    SBC: PARTOW TECHNOLOGIES LLC            Topic: OSD22B004

    Ultra-Wide bandgap materials such as GaN and Ga2O3 are emerging as preferred materials in high power applications due to their high breakdown field. The thermal dissipation is poor in both those materials due to low thermal conductivity. A high thermal conductivity material such as SiC is used as a growing substrate, however, the thermal conductivity is still limited due to defects in the interfac ...

    STTR Phase I 2023 Department of DefenseOffice of the Secretary of Defense
  5. HydroForecast Seasonal: Improving operational water supply forecasts to enable risk-based decisions and planning

    SBC: UPSTREAM PBC            Topic: 94

    Ensuring a safe water supply for society and the sectors that rely on water for economic and environmental purposes is a difficult problem that needs significant investment in R&D across public and private organizations. Climate change accelerates and exacerbates this challenge, causing a breakdown in some traditional approaches that use the past to predict the future streamflow on a seasonal (10 ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Nitric Oxide Measurements to improve Atmospheric Densities (NOMAD)

    SBC: SPACE ENVIRONMENT TECHNOLOGIES, LLC            Topic: 95

    The Ionosphere-Thermosphere-Electrodynamics (I-T-E) Earth system varies markedly on different spatial and temporal scales and this variation can have adverse effects on human operations and systems. There is a need to specify and forecast near-Earth I-T-E space weather to reduce the risks from hazards to systems that operate in this environment. An indicator of the current state and the near-term ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Innovative UV Biofouling Mitigation Technique for In-water Optical Sensors

    SBC: BIOSPHERICAL INSTRUMENTS, INC.            Topic: 93

    This project will build upon research conducted during a Phase I SBIR effort, which showed that germicidal UV-C radiation emitted by LEDs installed inside of submerged radiometers can reach levels known to prevent biofouling (accumulation of biological matter) on their external optical surfaces (windows, diffusers) without affecting the instrument’s measurements. This technology will improve the ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Enabling Data Measurements Using Smart Buoy Technology On Fishing Gear

    SBC: Blue Ocean Gear Inc.            Topic: 93

    As global efforts toward ocean health have gained momentum, it is critical to generate high quality ocean data for industries that operate and/or manage ocean resources. Blue Ocean Gear has demonstrated how Smart Buoys equipped with sensors can be useful to fisheries by tracking gear and providing enhanced marine condition awareness. Building on Phase I efforts, this project will highlight the opp ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  9. Flood Location and Alerting

    SBC: INTELLISENSE SYSTEMS INC            Topic: 92

    To address NOAA’s need for technologies conducive to a weather-ready nation, Intellisense Systems, Inc. (Intellisense) proposes, in Phase II, to advance the development of a new Flood Location and Alerting (FLOA) software system proven feasible in Phase I. FLOA is based on integrating data from IoT flood sensors such as Intellisense’s AWARE, combined with publicly available data, into Waze, a ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  10. HABCamera Harmful Algae Bloom Predictor

    SBC: LINESPECT LLC            Topic: 92

    "Harmful Algal Blooms negatively impact the environment, economy, and health of waterfront communities. The earlier a potential bloom is detected, the more time to plan and execute a response, the smaller the remedial action required, and the less the expense and environmental impact. The proposed submersible camera combines multiple spectral images with artificial intelligence to identify and cou ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
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