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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. Applying Machine Learning Techniques for Sensitive Spectral Identification and Detection of Hazardous Target Molecules

    SBC: Caelum Research Corporation            Topic: DHS221005

    Our team has conducted a Phase 1 feasibility analysis of developing an Artificial Intelligence (AI) platform to augment and integrate into currently available biological aerosolized detectors in support of DHS and its BioWatchProgram.The BioWatch program was stood up in the Department of Homeland Security (DHS) in 2003.The program currently operates in more than 30 metropolitan jurisdictions and p ...

    SBIR Phase II 2023 Department of Homeland Security
  2. A Real-time Hardware-assisted Endpoint Threat Detection Framework

    SBC: TRUSTED SCIENCE AND TECHNOLOGY, INC.            Topic: DHS231001

    IoT devices expose greater security risks due to their limited resources, lack of security functions and maintenance. There is a fast-growing trend for cyber-attacks exploiting IoT system vulnerabilities. software based IoT security solutions cannot meet the stringent requirements of real-time detection high accuracy, and low performance overhead. Our goal is to a multi-level hardware-assisted thr ...

    SBIR Phase I 2023 Department of Homeland Security
  3. Developing a proof-of-concept Neutral Density Monitoring and Alert Service for satellite operators.

    SBC: ENSEMBLE GOVERNMENT SERVICES, LLC            Topic: 95

    Ensemble intends to develop a proof-of concept Neutral Density Monitoring and Alert Service. To establish an innovative and accurate space weather analytics service, Ensemble has partnered with CU Boulder's SWx-TREC, who offer leading space weather research-to-operations support. Ensemble will create the foundational architecture for Neutral Density Alerts and Notifications for commercial satellit ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  4. An Ultrawideband RFI-Mitigating Software Defined Radiometer

    SBC: DeepSpace Technologies, Inc            Topic: 94

    Anthropogenic Radio-Frequency Interference (RFI), or interference from human-generated sources, continues to plague spaceborne microwave radiometer and sounder instruments. Unmitigated RFI adversely affects the quality and reliability of Earth remote sensing data used for determining water availability, quality, and risk. Proliferation of wireless technologies, Earth-orbiting commercial satellite ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  5. ChemBadge – ER: A Person Worn Chemical Aerosol Detector

    SBC: N5 SENSORS INC            Topic: DHS221010

    The threat posed by chemical agents extends beyond Toxic Industrial Chemicals (TICs) and Chemical Warfare Agents (CWAs) and has evolved to include lower volatility materials referred to as Non-Traditional Agents (NTAs). Similarly, illegally distributed and manufactured opioids, known collectively as pharmaceutical-based agents (PBAs), pose significant risk to emergency response teams and law enfor ...

    SBIR Phase II 2023 Department of Homeland Security
  6. Analytical Quality Management for 3D-Printed Small Molecule Drugs

    SBC: INFRATRAC INC            Topic: 2

    The promise of personalized medicine can be realized in part via point-of-care 3D drug printing, but only if there are reliable quality measures available. Children and seniors may need custom or easy-to-swallow doses, a need now addressed only in a limited way by ad-hoc in-pharmacy compounding. Compliance-targeted enhancements such as flavor and shape choices are particularly important for childr ...

    SBIR Phase II 2023 Department of CommerceNational Institute of Standards and Technology
  7. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: PARRY LABS, LLC            Topic: SOCOM23B001

    Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  8. Solid State High Energy Density Batteries

    SBC: FRAMERGY INC            Topic: SOCOM222001

    Modern lithium ion batteries are known for their poor safety performance, with many reports of battery failure and fire having been reported. One of the major causes of battery fire is from the use of flammable solvents, such as organic carbonates, as the electrolyte. These hazards have long limited the usage of batteries in dangerous conditions, such as on the battlefield. To combat this issue, t ...

    SBIR Phase II 2023 Department of DefenseSpecial Operations Command
  9. Distress Evaluation: Situational Cueing, Alerting and Monitoring (DE-SCAM)

    SBC: EDUWORKS CORPORATION            Topic: DHS221001

    U.S. Coast Guard personnel monitoring radio transmissions of vessels at sea must be able to identify distress calls despite interference, degraded conditions, and the stressed speech of those in emergency situations. However, not all distress calls are genuine. Hoax calls can be intended as malicious pranks, due to intoxication, or to distract Coast Guard assets from other tasks such as drug inter ...

    SBIR Phase I 2022 Department of Homeland Security
  10. Applying Machine Learning Techniques for Sensitive Spectral Identification and Detection of Hazardous Target Molecules

    SBC: Caelum Research Corporation            Topic: DHS221005

    Natural, extreme climate change, and human-induced disasters bring together teams of scientists and practitioners supported by several agencies, such as NOAA, NASA, EPA, and FEMA. These scientists and practitioners work at monitoring for conditions leading to, working through, and recovering from disastrous events. They currently use state-of-the-art sensors capable of detecting hazardous gases an ...

    SBIR Phase I 2022 Department of Homeland Security
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