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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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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Enhancement of Ballistic Missile Defense System Level Simulation Operations Through Multi-core Processing
SBC: ISSAC Corp Topic: MDA13T003The ISSAC Team propose a novel method to encapsulate legacy models and simulations that allows these components to take advantage of modern, multi-core, multi-processor hardware suites. Encapsulating these legacy codes provides 3 primary advantages to deal with complex systems and systems of systems (Air Force, Navy, Department of Homeland Security (DHS), Federal Emergency Management Agency (FEMA) ...
STTR Phase II 2016 Department of DefenseMissile Defense Agency -
RF-IR Data Fusion
SBC: DECIBEL RESEARCH, INC. Topic: MDA12T002deciBel Research, Inc. and the Electrical Engineering Department at the University of Mississippi - the deciBel Team - proposes to continue to develop and mature threat physics based classification, track association/track correlation, and dynamic attributes determination threat characterization algorithms that effectively and efficiently fuse data from multiple sensors. The classification algorit ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
veriScan
SBC: SENTAR, INC. Topic: OSD06SP2The goal of the Information Assurance Run-time Auditing (IARA) Phase I project was to provide a framework that promotes the specification of software system monitoring, audit, analysis, and threat mitigation capabilities in large scale software intensive systems (LSSIS). IARA was designed to promote software assurance by incorporating novel tools that help certify the operations of untrusted soft ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
Advanced Hit Detection Systems
SBC: FREENT TECHNOLOGIES, INC. Topic: MDA13015FreEnt Technologies, Inc. (FreEnt) and Johns Hopkins Universitys Applied Physics Laboratory (APL) are proposing a multiple-hit detection sensor called the Optical Lethality Measurement System (OLMS). This system is based on the Planar Optical Penetration Sensor (POPS) technology (originally developed and patented by APL) and prior art associated with the Blast Initiation Detector (BID). The BID is ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
Dim Target Extraction and Conjoint Tracking (DTECT) Enhancements for Missile Defense Applications
SBC: TOYON RESEARCH CORPORATION Topic: MDA12T004Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
System of Systems Control Interactions
SBC: GTD Unlimited LLC Topic: MDA15T002In this research effort, the GTD team will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Three approaches will be considered and integrated. The first two are based in the rigorous application of H_8 control theory to the SoS design problem. The third will use complexity measures to generate a metric that c ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency -
Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization
SBC: EXOANALYTIC SOLUTIONS INC Topic: MDA15T001ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...
STTR Phase II 2017 Department of DefenseMissile Defense Agency