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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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Develop an electrified technology for non-potable reuse of septic tank effluent
SBC: J-TECH LLC Topic: 1ASeptic systems, widely used by >25% of U.S. households, represent a 6-billion-dollar market with a 5-7% projected growth rate. There is growing interest in non-potable reuse of septic tank effluent, yet existing disinfection methods are either costly (e.g., UV) or require households to handle hazardous chemicals (e.g., chlorine tablets). This project will validate a promising septic tank technolog ...
SBIR Phase I 2023 Environmental Protection Agency -
A high-speed, low cost, machine learning enhanced, hyperspectral imaging system for improved identification of microplastics
SBC: SPORIAN MICROSYSTEMS, INC Topic: 1BMicroplastics are environmental pollutants ubiquitous in marine and freshwater environments and have been established to have deleterious impacts on aquatic life and human health. Preventing Microplastics from getting into waterways or removing it once it is there, is the mission of EPA’s Trash Free Waters program and, as the production of plastics continues to grow, EPA is looking for innovativ ...
SBIR Phase I 2023 Environmental Protection Agency -
Robotic, Artificial intelligence (AI) Powered Trash System for Facility Sorting and Auditing Waste and Educating Transient Populations
SBC: CLEANROBOTICS Topic: 4BCleanRobotics has developed a robotic, artificial intelligence (AI) powered system, called TrashBot, for sorting and auditing recycling, landfill, and compost from facilities with transient populations. Our system has the unique capability of ensuring proper waste sorting of up to four waste streams with the added cost reduction of eliminating user intervention. Discarding waste becomes an educati ...
SBIR Phase II 2023 Environmental Protection Agency -
Hypersonic Seeker Window Attachment for Hypersonic Flight Systems
SBC: FIRST RF CORPORATION Topic: MDA22T011The harsh environment posed by hypersonic flight makes antenna design challenging due to extreme temperature exposure coupled with often competing mechanical/aero and RF performance requirements. FIRST RF proposes an advancement to its numerous conformal antenna technologies utilizing additive manufacturing of dielectric materials. This approach will decouple the competing RF and mechanical requir ...
STTR Phase I 2023 Department of DefenseMissile Defense Agency -
Low-Cost In-Situ Rapidly Carbonized Carbon-Carbon Composite Material
SBC: EOS ENERGETICS, INC. Topic: MDA22T013Estes Energetics and Battelle Memorial Institute will apply a fast, affordable manufacturing technology—proven to Technology Readiness Level (TRL) 4 and Manufacturing Readiness Level (MRL) 4—that manufactures a layer of carbon-carbon directly on composite structures without requiring use of an autoclave or densification process holds, resulting in reduced manufacturing time while improving com ...
STTR Phase I 2023 Department of DefenseMissile Defense Agency -
Battle Management and Advanced Guidance for Defense against Hypersonic Threats
SBC: NUMERICA CORPORATION Topic: MDA21017Numerica proposes to leverage extensive expertise in advanced battle management algorithms, advanced guidance and control algorithms, hypersonic defense, and high-g missile threat modelling to develop a physics-based, real-time prototype battle management and advanced guidance algorithm that produces optimal launch scheduling and optimal guidance for mid-trajectory interception of hypersonic threa ...
SBIR Phase II 2023 Department of DefenseMissile Defense Agency -
Innovative Uses of Artificial Intelligence and Machine Learning in Scenario Planning and Design
SBC: OPTIMIZATION TECHNOLOGIES, INC. Topic: MDA21007An AI/ML-enabled simulation optimization tool can exploit existing simulation models to streamline the scenario planning and analysis process. Our Phase II project will focus on using AI/ML techniques and simulation optimization to solve the problem of generating a minimal collection of test scenarios, using the minimum number of shared scenario components that meets a required set of test objecti ...
SBIR Phase II 2023 Department of DefenseMissile Defense Agency -
Operational Defense Effectiveness Assessments for Missile Raid Scenarios
SBC: OPTIMIZATION TECHNOLOGIES, INC. Topic: MDA21008OptTek will apply our novel mapping, adaptive sampling, and optimization capabilities to help MDA better understand the operational effectiveness of the MDS under multi-threat missile raids. While digital simulations provide faster feedback on missile defense performance than a ground test, the computational costs are still too high to handle the combinatorial explosion of parameter combinations a ...
SBIR Phase II 2023 Department of DefenseMissile Defense Agency -
External Queuing Navigation Correction Using Signals of Opportunity Phase II
SBC: THE NAVSYS CORPORATION Topic: MDA21012Under the Phase I effort, NAVSYS developed a design for an alternative navigation (ALTNAV) external aiding solution that utilizes signals of opportunity (SoOP) from a combination of commercial and military space systems leveraging NAVSYS PNT as a Service (PNTaaS) technology developed under contract to DARPA, Air Force, and Navy customers. Under the Phase II effort, we propose to build and test a P ...
SBIR Phase II 2023 Department of DefenseMissile Defense Agency -
Reveal-Deep Reinforcement Learning Introspection
SBC: SEED INNOVATIONS, LLC Topic: MDA22T004Seed Innovations (Seed) and the University of Colorado at Denver (CU Denver) apply our combined experience in artificial intelligence, machine learning, model interpretation and human-machine teaming to research and develop a prototype Deep Reinforcement Learning (DRL) explainability platform. This prototype solution, named ‘Reveal’, seeks to empower decision-makers by providing them with mean ...
STTR Phase I 2023 Department of DefenseMissile Defense Agency