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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. MVP-ROM: Masked Vulnerability-Preserving ROM for Power Systems

    SBC: COVERT DEFENSES LLC            Topic: DHS231006

    Phase I proposes a workflow, called Masked Vulnerability-Preserving Reduced Order Model (MVP-ROM), that encodes a novel non-weaponizable structure-preserving ROM algorithm using a nonlinear port-Hamiltonian modeling for networked power systems, integrated under the Idaho National Laboratory (INL)’s All Hazards Analysis (AHA) Framework for Critical Infrastructure (CI) analysis. The project p ...

    SBIR Phase I 2023 Department of Homeland Security
  2. Affordable Wastewater Disposal for Coastal Households Adapting to Sea Level Rise

    SBC: WAIHOME LLC            Topic: 92

    "Rising sea levels and king tide flooding in coastal areas across America are saturating onsite wastewater disposal systems (OSDS), resulting in the degradation of coastal ecosystems and 200,000+ illnesses annually. Many States are mandating system upgrades, with 88,000 upgrades required by 2050 in Hawaii alone. Unfortunately, existing upgrade options are unaffordable for 97% of Hawaiian homeowner ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Carbon-Negative Oceanit Reef for Aquatic Life (CORAL) Surveying via Hyperspectral Imaging-Equipped Littoral Drones (SHIELD)

    SBC: OCEANIT LABORATORIES INC            Topic: 93

    Oceanit proposes the design, construction, and testing of a hyperspectral imaging equipped Unmanned Aerial System (UAS) for the detection of various coral species and the monitoring of coral health. This system will be the prototype for the sensor part of a robust, COTS-based UAS system to aid the NOAA National Coral Reef Monitoring Program. Different coral families and species will be identified ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Solid State High Energy Density Batteries

    SBC: BHAWIN LLC            Topic: SOCOM222001

    In Phase II project, Bhawin LLC aims to fabricate the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understandin ...

    SBIR Phase II 2023 Department of DefenseSpecial Operations Command
  5. Reinforcement Learning with Intelligent Context-based Exploration (RL-ICE)

    SBC: SOAR TECHNOLOGY INC            Topic: SCO182006

    This effort will extend the RL-ICE capability for low-shot object detection to operate with zero real data within the MWIR band (zero-shot learning). Our goal is to 1.) mature our software, 2.) maximize the performance benefit of synthetic data in training an object detector and, 3.) assess the trade-space of real vs synthetic data by comparing performance to a detector trained on fully real data. ...

    SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense
  6. 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
  7. Cloud-based Automated Electronic Monitoring for Fisheries of the Future

    SBC: AIFISH LLC            Topic: 93

    Electronic monitoring (EM) represents a promising opportunity for fishery management of the future. Yet after nearly two decades of implementation less than 1% of the world’s fishing fleet are able to participate in these programs. Cost remains a key barrier to the implementation of these programs and the primary cost drivers are manual video review, data transmission and data storage. Our SBIR ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  8. 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
  9. Software Supply Chain Identification for Compiled Binary Executables

    SBC: OCEANIT LABORATORIES INC            Topic: DHS211007

    Computing systems contain increasing and changing software applications from a wide variety of vendors and sources. These applications contain numerous libraries for them to function, which are often not known to the end-user and considered a black box. When these libraries or their dependencies are discovered to have a vulnerability, the end-user relies exclusively on the software publisher to re ...

    SBIR Phase II 2022 Department of Homeland Security
  10. QUINN (Quantum INspired Neural Networks)

    SBC: SOAR TECHNOLOGY INC            Topic: SCO183001

    QUINN (Quantum INspired Neural Networks) is a cybersecurity implementation to be deployed alongside a machine learning system (especially a reinforcement learning, active learning, and computer vision system) to harden said system from both standard generative adversarial attacks (noise injection) and cyber-physical attacks. This protection is provided by three unique components that perform attac ...

    SBIR Phase II 2022 Department of DefenseOffice of the Secretary of Defense
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