You are here
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.
-
Advanced Technologies for Discrete-Parts Manufacturing
SBC: LUNA INNOVATIONS INCORPORATED Topic: DLA08001Wet installation of fasteners offers proven corrosion protection and fuel sealing in aircraft structures, but it''''s a labor-intensive, messy, hazmat-laden process whose quality can vary significantly from fastener to fastener. Under a Navy SBIR Phase II, SMRC has developed a proprietary process called QwikSeal® for pre-coating fasteners with cure-blocked sealant, then overcoating the pre-applie ...
SBIR Phase I 2009 Department of DefenseDefense Logistics Agency -
Advanced Technologies for Discrete-Parts Manufacturing
SBC: HT MICROANALYTICAL, INC. Topic: DLA08001HT Micro proposes to establish a metal MEMS manufacturing process as an effective high rate component manufacturing technology. This will bring miniaturization and cost savings comparable to that provided by conventional silicon MEMS manufacturing to a very large number of important new applications. Metal MEMS micro-fabrication is established at the research and prototype level, but has not been ...
SBIR Phase I 2009 Department of DefenseDefense Logistics Agency -
Innovative Hybrid Molding Casting Technology
SBC: TRANSITION45 TECHNOLOGIES INC Topic: DLA08001This SBIR Phase I effort proposes to develop a more affordable casting technology for discrete manufacturing based on innovative hybrid molding technologies. Rammed graphite molding is a lower-cost casting process not traditionally used to manufacture aerospace titanium components, while hybrid molds are a combination of two or more non-traditional molding technologies. The new process is expected ...
SBIR Phase I 2009 Department of DefenseDefense Logistics Agency -
Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA Nuclear Enterprise Support Office (NESO) Reverse Engineering Technical Data Packages for Developmen
SBC: ENGINEERING AND SOFTWARE SYSTEM SOLUTIONS, INC. Topic: DLA192001Maintaining the many types of weapons systems within the Department of Defense (DoD) is a tremendous task. Many of the weapon systems are aging and some, such as the Inter-Continental Ballistic Missile (ICBM) LGM-30A, were designed over 50 years ago. These aging systems are increasingly facing a shortage of sustainment components due to obsolescence. Often the aging systems are maintained by using ...
SBIR Phase I 2020 Department of DefenseDefense Logistics Agency -
Autonomous LARS for Subsea Vehicles
SBC: Marine Advanced Robotics, Inc. Topic: 9603High resolution deep ocean mapping has historically been a cost prohibitive endeavor for all but the most well-funded governments, companies, individuals, and institutions. It is limited by the acquisition and operational costs of the assets required. Fully autonomous solutions have the potential to dramatically lower the acquisition costs and increase access to the data. One of the key missing pi ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Portable Analyzer for Ultra sensitive Detection and Quantification of Polycyclic Aromatic Hydrocarbons in Shellfish
SBC: ADELPHI TECHNOLOGY INC Topic: 9101The proposed device is a compact, portable and robust battery-powered analytical instrument for analysis of complex multicomponent mixtures of polycyclic aromatic hydrocarbons (PAHs) in shellfish. The device is based on principles of analytical gas chromatography (GC) and utilizes a novel highly-integrated multisensory detector. Implementation of a multisensory detector allows the device to colle ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Environmental and Oceanographic Measurement and Data System
SBC: INTELLISENSE SYSTEMS INC Topic: 9601To address the NOAA’s need for cost-effective, highly reliable, readily deployable, platform-independent sensors and observing systems, Intellisense Systems, Inc. (ISI) proposes to develop the new Environmental and Oceanographic Measurement and Data (NOMAD) system based on a new design that utilizes previously developed mature components. Specifically, innovations in low-power and ultra-compact ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
BLOS Kit with Acoustic Sensor for Non-Cooperative Aircraft
SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC. Topic: 9501SARA proposes to integrate a Beyond Line of Sight (BLOS) system on a NOAA-selected UAS platform. The BLOS system will detect cooperative aircraft as well as non-cooperative aircraft by including SARA’s Passive Acoustic Non-cooperative aircraft Collision Avoidance System (PANCAS). PANCAS is an acoustic system which is low weight, low cost and has a 360-degree field of view. SARA will develop a sa ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Developing Regional GIC Hazard Tools for Power Utility Planning and Operations
SBC: COMPUTATIONAL PHYSICS, INC. Topic: 9302Geomagnetically induced current (GIC) hazard is a recognized threat to the United States power system. Federal models to support hazard specification and prediction for critical infrastructure are at an advanced state, including models of space weather, the Earth’s conductive structure, and regional geoelectric field. We propose to use existing NOAA Space Weather Prediction Center (NOAA-SWPC) mo ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration -
Enabling the Rapid Creation of Custom Predictive Models with GOES-16 and NEXRAD Data
SBC: ONAI INC. Topic: 9401NOAA's Big Data Project (BDP) has made several valuable datasets available on major cloud platforms. While a critical step, many organizations that would benefit from the data are not technologically capable of performing state-of-the-art machine learning. We propose to unlock the power of the data for those who can most benefit by developing technology that automatically trains deep learning mode ...
SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration