You are here
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
QUARTERMASTER: Query and User-based Abductive Reporting Tool Enabling Responsive Multimodal Analysis of Simulated Technological Enterprise RecordsSBC: APTIMA INC Topic: MDA19T003
At the Missile Defense Agency (MDA), the system-wide approach to test engineering generates massive amounts of multi-dimensional data, which analysts explore to evaluate Ballistic Missile Defense System (BMDS) configurations, engagement conditions, and target phenomena. Analyses are limited by time to construct each data query, technical knowledge, and size/complexity of the datasets and domain. T ...STTR Phase I 2020 Department of DefenseMissile Defense Agency
MAVERICK II: Mixed-Automation Visualizer for Emerging Relationships & Insights in Complex KnowledgeSBC: APTIMA INC Topic: MDA18T001
System-level simulations of the Ballistic Missile Defense System (BMDS) generate extremely large quantities of highly multidimensional data, which analysts at the Missile Defense Agency (MDA) must explore and analyze to infer insights and relationships. Existing tools based on automated routine scripts are ill-equipped to handle the volume and complexity of these data, requiring piecemeal analysis ...STTR Phase II 2020 Department of DefenseMissile Defense Agency
Multisensory Interactive Data Analysis System (MIDAS)SBC: TRITON SYSTEMS, INC. Topic: MDA18T001
The Multisensory Interactive Data Analysis System (MIDAS) is a revolutionary interactive and iterative system for data visualization, hypothesis generation, and hypothesis testing. It provides visualizations and sonifications of datasets under investigation to allow the user to explore relationships between parameters in the dataset and between data sets. MIDAS leverages the vast capabilities of t ...STTR Phase II 2020 Department of DefenseMissile Defense Agency
Trajectory Simulation using PSMSBC: TRITON SYSTEMS, INC. Topic: MDA17T002
Triton Systems, Inc., in collaboration with an academic partner, proposes to optimize a method for efficiently running federated simulations of atmospheric and orbital rocket flight. Our tool will be able to simulate large threat/interceptor events with fewer time steps at a given accuracy than current software. This will result in less storage requirements and significantly shorter computational ...STTR Phase II 2020 Department of DefenseMissile Defense Agency
Circulating Diagnostic Markers of Infectious DiseaseSBC: PATHOVACS INCORPORATED Topic: CBD18A001
Assays for accurate diagnosis of early stages of infection with biothreat agents, on the day of infection or within a few days of infection, will find wide use in both civilian and military applications These diagnostic assays, which are anticipated to be highly specific and sensitive, will add to the repertoire of tools of hospitals and clinics that serve our armed forces personnel deployed on th ...STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
Real-Time Health Management Portable Sensor for Solid Rocket MotorsSBC: Physical Sciences Inc. Topic: MDA14T004
Physical Sciences Inc. (PSI) proposes to design, develop, and demonstrate a portable, non-invasive, real-time sensor to assess the chemical and physical health of solid rocket motors as a function of age without affecting the motors integrity nor having direct contact with the propellant. In Phase II, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging pr ...STTR Phase II 2016 Department of DefenseMissile Defense Agency
Deep Inference and Fusion Framework Utilizing Supporting Evidence (DIFFUSE)SBC: BOSTON FUSION CORP Topic: MDA15T001
Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...STTR Phase I 2016 Department of DefenseMissile Defense Agency
Using Magnetic Levitation for Non-Destructive Detection of Defective and Counterfeit MaterielSBC: Nano Terra, Inc. Topic: DLA15C001
The introduction of substandard or counterfeit materials into the DoD supply chain can have extremely expensive, and potentially life threatening, consequences. Current techniques used to detect nonconforming materiel can be destructive (e.g., manual sectioning and inspection of a part), time consuming and expensive (e.g., micro-computed tomography, ultrasound), or provide only limited informatio ...STTR Phase I 2016 Department of DefenseDefense Logistics Agency