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: Arete Associates Topic: A17AT020
Historically, the monitoring and detection of biological threats has been carried out via the deployment of high sensitivity / high complexity monitoring nodes to insure high probability of detection and low false alarm rate. Unfortunately, this detection strategy has inherent limits with respect to coverage and response due to its high deployment/support costs, mandating a new approach to environ ...STTR Phase I 2017 Department of DefenseArmy
SBC: INFOBEYOND TECHNOLOGY LLC Topic: N16AT020
Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...STTR Phase II 2017 Department of DefenseNavy
Integrated Fiber-Optic Sensor Reliability Modeling and Analysis Tools for Thermal and Power Management Systems for Gas Turbine EnginesSBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP Topic: AF16AT16
Addressing a key technology gap in deployment of fiber-optic sensor networks, IFOS and multidisciplinary collaborators are developing an integrated fiber-optic component reliability modeling software toolkit. The RelOptics toolkits analytical engine is based upon predictive failure models developed for the first time in aerospace industry via rigorous environmental testing of optical fiber splices ...STTR Phase II 2017 Department of DefenseAir Force
Intelligent and Multiplexable Ultra-High Temperature Fiber Optic Pressure Sensors for Robust Distributed Engine ControlSBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP Topic: AF16AT18
Engines will be getting smaller and hotter for efficiency reasons, requiring novel sensors with extended and enhanced performance. Emerging fiber-optic sensing approaches could provide a unique solution to the widening technology gap between next-gen engine requirements and conventional sensors limited capabilities. The overall objective of this program is to develop techniques to integrate new pr ...STTR Phase II 2017 Department of DefenseAir Force
SBC: ATTOLLO ENGINEERING, LLC Topic: A17AT018
Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...STTR Phase I 2017 Department of DefenseArmy
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: 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: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17BT035
OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...STTR Phase I 2017 Department of DefenseNavy
SBC: EXOANALYTIC SOLUTIONS INC Topic: AF16AT05
ExoAnalytic Solutions, teamed with Texas A&M University and Georgia Institute of Technology, will develop Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER) with the goal being to design and demonstrate tracking of resident space objects (RSOs) in near-geosynchronous orbit (GEO) using a rapidly-constructed low-cost ground based electro-optic (EO) sensor wit ...STTR Phase II 2017 Department of DefenseAir Force
SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC. Topic: N16AT018
Systems that operate in constrained environments depend on the acoustics in several ways. Harbor defense systems detect intruders (peopleand/or vessels) by either listening for their noises (passively) or by pinging on them and detecting their echoes (actively). Furthermore, suchsystems may also form the equivalent of an underwater cell phone network using sound to carry the information. The acous ...STTR Phase II 2017 Department of DefenseNavy