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Award Data
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.
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Metabolite Reference Standards to Normalize Spatial Metabolomics Across Tissue Sections
SBC: SYGNAMAP INC Topic: 1Advances in spatial metabolomic analysis of tissue biopsies using MALDI-MSI now enable the identification of numerous biochemical pathways as signatures of specific histopathology features. However, the lack of reproducibility across experimental studies without a common internal standard limits the application of MALDIMSI for drug development. SygnaMap is developing MSI-DeepPath as an innovative ...
SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology -
Scanning Probe Microscopy with Active Optical Probes: A Novel Approach to Measurements and Nanomanufacturing
SBC: Actoprobe LLC Topic: 2Actoprobe LLC proposes development of a novel class of Atomic Force Microscopy (AFM) active optical probes with dramatically increased sensitivity and spatial resolution for Near-Field Optical Nanospectroscopy and Nanoscopy. The innovation is accomplished by integrating a diode laser source and a photodetector into a silicon AFM probe in such a way that both the AFM tip and detector are inside the ...
SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology -
A Novel Advanced Manufacturing Pathway for Direct Incorporation of Metal-Organic Frameworks in Polymeric Sponges
SBC: FRAMERGY INC Topic: 2For this project, the team at Framergy, Inc. in partnership with Texas A&M University (TAMU), will analyze the feasibility of post-synthetic incorporation of metal-organic frameworks (MOFs) into polymer composites. This manufacturing method has the distinct advantage of eliminating the synthesis optimization that is often needed in in-situ growth methodologies, while also allowing for a higher de ...
SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology -
Micro Raman Technology
SBC: DETECTACHEM, INC. Topic: SOCOM213D005Micro-Raman technology, that is embedded on a smartphone Platform. Micro-Raman will be a fraction the size of existing systems and fit into the Digital SOCOM initiative. The Smart device allows for the integration of other platforms such as colorimetric and biometric integration into reporting capabilities.
SBIR Phase II 2022 Department of DefenseSpecial Operations Command -
Multi Domain Virutal Innovation
SBC: MYSTIC SPEAR, LLC Topic: SOCOM213D009Team Mystic Spear will identify and procure a best-in-class software package capable of identifying, interrogating, extracting, correlating, and fusing data from sensors into a standard dashboard of USSOCOM’s choosing. We will also discuss APIs and all things access with smaller Smart Cities that also have Port facilities to determine any less obvious sensor/data feeds. From this research we wil ...
SBIR Phase II 2022 Department of DefenseSpecial Operations Command -
Direct Deposition of Durable Composite Road Marking Material onto Pavement Via Quasi-Equilibrium Plasma
SBC: AA PLASMA LLC Topic: 6According to National Transportation Research, 43% of the public roadways throughout the U.S. are in poor or mediocre condition. With over 4 million miles of public roadways in the United States moving nearly $17 trillion of goods across the nation, it is critical that improvements are made to the resurfacing methods currently employed to maintain our transportation infrastructure. To achieve a te ...
SBIR Phase I 2022 Department of CommerceNational Institute of Standards and Technology -
Cyber-Physical Trust Anchors with Definable Costs and Security
SBC: REFINED IMAGING, LLC Topic: 3A cyber-physical trust anchor is an essential component of a secure additive manufacturing supply chain. Customer discussions show a strong need for low-cost trust anchors as well as high-security, more costly trust anchors. The concept underlying our trust anchor enables implementations that can be described as good, better, best. The two physical-digital components are first embedded digital cod ...
SBIR Phase I 2022 Department of CommerceNational Institute of Standards and Technology -
SHELL
SBC: Overmatch, Inc. Topic: SOCOM22DST01Bottom line up front: The next-generation operator requires an effective, immersive training platform supporting haptic force feedback and natural real-time representations of operational environments. Problem: Current operator training equipment lacks realism and accuracy for effective immersion of field scenarios. Training under these circumstances leaves many variables excluded from the operato ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
Antenna Distribution System
SBC: NOKOMIS INC Topic: SOCOM211001Antenna capabilities are critical to acquiring warfighter intelligence collection, surveillance, and reconnaissance (ISR) using a variety of receiver platforms, requiring agility in frequency, bandwidth, gain, directionality, polarization, and durability. Dynamically and automatically reconfigurable antenna connection concepts are proposed herein, by applying recently available lightweight, low po ...
SBIR Phase I 2021 Department of DefenseSpecial Operations Command -
Enterprise Data Fusion Visualization
SBC: Kestrel Technology Group, LLC Topic: SOCOM211002Kestrel Technology Group, LLC. (KTG) and its partners interpret SOCOM211-002 feasibility study requirement as a study on how to adapt and expand data fusion and knowledge management technology to create an intuitive and operationally capable system that promotes search querying across multivariate data sources and how machine learning (ML) can enhance this process. B01/B02 is a data acquisition ex ...
SBIR Phase I 2021 Department of DefenseSpecial Operations Command