You are here
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.
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: MDA15T001
We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)STTR Phase I 2016 Department of DefenseMissile Defense Agency
SBC: EXOANALYTIC SOLUTIONS INC Topic: MDA15T001
Missile defense faces the challenges of rapidly maturing and evolving complex threats, possessing capabilities which require the use of all available resources to successfully detect, track and identify the lethal objects. Future performance will rely on multiple sensors such as ground and sea based radars and electro-optical and infrared sensors for target recognition. It is crucial to develop a ...STTR Phase I 2016 Department of DefenseMissile Defense Agency
SBC: ONAI INC. Topic: N17AT021
We propose a multi-part system to process, understand, and summarize video streams. Our approach involves processing video and audio jointly; uses the latest advances in captioning and automatic speech-recognition to construct text narratives for the video; and uses NLP techniques to summarize and produce a reliable relevance ranking of these videos. We address all six technical challenges identif ...STTR Phase I 2017 Department of DefenseNavy
SBC: ACTA, LLC Topic: N17BT034
In this Phase I Project ACTA and its partners will demonstrate the feasibility of developing a risk-based mission path planning (RB MPP) approach. Areas of interest to the Navy where a RB MPP address critical needs include enabling less restrictive UAS operations within the US National and Foreign Airspaces. The Phase I will demonstrate feasibility with a two-step approach. The first step will dem ...STTR Phase I 2017 Department of DefenseNavy
SBC: Space Micro Inc. Topic: MDA16T005
Space Micro and partner institution Arizona State University propose to design and prototype a Programmable Multi-Frequency Transmitter (PMFT) that is compliant with both the Kill Vehicle Modular Open Architecture (KVMOA) and Space Telecommunications Radio System (STRS) standards. The KVMOA maximizes reuse of components and system designs and reduce total ownership costs. The STRS standard allows ...STTR Phase I 2017 Department of DefenseMissile Defense Agency
SBC: Sensormetrix, INC Topic: N17AT020
The proposed Phase I research seeks to develop innovative tunable IR filters based on phase change plasmonic composite materials. Concepts for a switchable device that is capable of providing dynamic narrowband spectral properties within the 3-12 micron wavelength range will be developed.STTR Phase I 2017 Department of DefenseNavy
SBC: POLARONYX INC Topic: N17AT030
This Navy STTR Phase I proposal presents an parallel AM tool to eliminate conventional scanning strategy. A 2D MEMS array is used to shape both in time domain and spatial domain to obtain the desired pattern for layer by layer process. Modeling is used to study in-process melting evolution versus powder and beam properties. It provides quantitative characterization of the AM system to guide the de ...STTR Phase I 2017 Department of DefenseNavy
SBC: Stottler Henke Associates, Inc. Topic: N17BT035
Enabling operators to command and control multiple UAVs will require higher levels of supervisory control, enabling vehicles to operate autonomously during larger portions of each mission. For the foreseeable future, however, critical portions of each mission will require operators to apply their superior knowledge, judgment, and skills to assess the situation, monitor execution more closely and, ...STTR Phase I 2017 Department of DefenseNavy
SBC: METACOMP TECHNOLOGIES INC Topic: N17AT002
The proposed project will develop advanced modeling capabilities for high-fidelity liquid-fuel spray calculations. State-of-the-art multiphase combustion models will be implemented in a volume-filtered Eulerian-Lagrangian framework that can easily be ported into existing CFD codes. Unlike traditional methods, the proposed strategy will ensure convergence under mesh refinement of the interphase exc ...STTR Phase I 2017 Department of DefenseNavy
SBC: Scalable Network Technologies, Inc. Topic: N17AT023
Integration of kinetic training and cyber training will provide a unified platform for combined cyberspace/kinetic battlefield training for our warfighters. Such a training platform will support high-fidelity, multi-factor simulated engagements in which the trainee can be exposed to all domains that are simultaneously interacting with each other. Existing approaches do not accurately reflect the d ...STTR Phase I 2017 Department of DefenseNavy