You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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.

Displaying 1 - 10 of 3921 results
  1. Accurate and Real-time Hardware-assisted Detection of Cyber Attacks through AI/ML

    SBC: BLUERISC INC            Topic: DHS231001

    With expanded connectivity, the spectrum of devices that are susceptible to cyber-attack is constantly increasing.Beyond this, given the increased processing power and capabilities of everyday IoT/embedded devices, cyber-attacks that previously only targeted endpoints (e.g., botnets, ransomware, DoS, DDoS, etc.) are now broadly applicable.Unfortunately, current cyber-threat detection solutions are ...

    SBIR Phase I 2023 Department of Homeland Security
  2. Support Intelligence and Fusion Technology to Ecologically Represent and Reason for Air Cargo Scanners (SIFTER-ACS)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: DHS231002

    Air cargo security is critical to minimizing the overall risk to national security. However, screening air cargo with current state-of-the-art computed tomography (CT) imaging is a complex and challenging task for screeners. To address current complexities and challenges, Charles River Analytics proposes to design and demonstrate Supportive Intelligence and Fusion Technology to Ecologically Repres ...

    SBIR Phase I 2023 Department of Homeland Security
  3. Enhanced Cargo Screening Analysis via Image-Manifest Correlation

    SBC: PHYSICAL SCIENCES INC.            Topic: DHS231002

    Physical Sciences Inc. (PSI) proposes to develop an air cargo screening software suite that automatically parses air cargo waybills and detects and localizes the reported cargo contents within X-ray images obtained during screening. The software will utilize state-of-the-art machine-learning (ML) and natural language processing techniques to rapidly analyze and correlate manifests with associated ...

    SBIR Phase I 2023 Department of Homeland Security
  4. ISO 18013-5 Compliant Smartphone-Based Digital Software Badges

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: DHS231003

    The Synthetik team is pleased to provide this Phase I SBIR proposal to develop a distributed, interoperable, ISO 18013-5-compliant and mdoc-based digital software badge (DSB). The DSB will provide the capability to prove a first responder personnel’s identity and qualifications onsite securely and efficiently in a disaster response operating environment.During Phase I we will demonstrate th ...

    SBIR Phase I 2023 Department of Homeland Security
  5. Valid8 Mission Critical Server Conformance Tester- An innovative apparatus for ensuring the standards compliance of mission critical public safety servers for MCPTT, MCData and MCVideo (MCX)

    SBC: VALID8.COM, INC.            Topic: DHS231005

    To achieve the goals for the DHS SBIR topic “MCX Server-to-Server Communication, voice communications, 3GPP-Standards” (DHS231-005) to develop a unified process, strategy, and methodology to achieving interoperability of MCX server-to-server communications and to create a test tool for conformance and interoperability testing for MCX server-to-server communications, we will develop the ...

    SBIR Phase I 2023 Department of Homeland Security
  6. TlBr-LISSPRD

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: DHS221008

    RMD is developing a semiconductor base Spectroscopic Personal Radiation Detector (SPRD). The gamma detection is be based on TlBr and the neutron detection on LiInSe (LIS) semiconductors. These detection technologies have been under development in RMD for several years with the DHS and other government agencies support. The primary technological benefit of semiconductor detectors for gamma detectio ...

    SBIR Phase II 2023 Department of Homeland Security
  7. Microwave Radiator for Curing Polymer Composites (MRCPC)

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT006

    The Navy requires a low-cost, industrial microwave system for curing aerospace composite materials. In this Phase I STTR proposal, Physical Sciences Inc outlines the development of a microwave applicator that uses low-cost RF sources and can be installed in heritage autoclaves for curing large aerospace composite parts. This technology has the potential to improve cured mechanical properties, and ...

    STTR Phase I 2023 Department of DefenseNavy
  8. Large-scale Meta-optic Optimization

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT008

    Physical Sciences Inc. (PSI), in collaboration with Stanford University, will develop an electromagnetic simulation package used for the development and optimization of large-scale meta-optics, and demonstrate the functionality of the package in the long-wave infrared (LWIR). Our team will combine recent progress in physics-augmented deep learning neural networks with rigorous far-field diffractio ...

    STTR Phase I 2023 Department of DefenseNavy
  9. Gradient index for reduced integration costs (GRIN-RICH)

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT011

    Physical Sciences Inc. partnered with Alfred University will develop an F/1, 90 degree full field of view MWIR/SWIR gradient index (GRIN) compound lens for reduced size and lens integration cost. The element-by-element achromatization and athermalization of GRIN provide useful performance improvements to GRIN systems. Element count is reduced (= 2), diversity of optical material needed is fixed, a ...

    STTR Phase I 2023 Department of DefenseNavy
  10. Sensor Modality Translation through Contrastive Deep Learning

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT013

    Physical Sciences Inc. (PSI), in collaboration with the University of Rhode Island, proposes to develop an advanced algorithm suite for data translation across sensing modalities to support the development of automated target recognition and classification algorithms for Unmanned Underwater Vehicles. The proposed Deep Diffusion Sensor Translation (DDST) leverages recent advancements in generative ...

    STTR Phase I 2023 Department of DefenseNavy
US Flag An Official Website of the United States Government