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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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NAVY TECHNOLOGY ACCELERATION- Machine Learning (ML) and Artificial Intelligence (AI) to Develop Capabilities and Impact Mission Success
SBC: SPATIAL INTEGRATED SYSTEMS INC Topic: N193A01Using the AI/ML technology of Long Short Term Memory to detect and heal data contained in Navy supply chain information systems. Training the LSTM data model to inherit the Subject Matter Expertise value to produce accurate material forecasting reports.
SBIR Phase I 2020 Department of DefenseNavy -
8-Predictive Analytics for Normalcy Reasoning and Anomaly Analysis (8-PANORAMA)
SBC: BOSTON FUSION CORP Topic: N193A01Predictive Analytics for NOrmalcy Reasoning and AnoMaly Analysis (PANORAMA) is a machine learning (ML) tool for automatic identification system (AIS) data that learns maritime patterns of life and detects anomalous vessel behavior. PANORAMA learns what is normal for a given ship, taking into account: (1) that ship’s past behavior, (2) the past behavior of similar ships, (3) normalcy patterns in ...
SBIR Phase I 2020 Department of DefenseNavy -
Focus Area 8- (SPADE) Spatial Anomaly Detection
SBC: APTIMA INC Topic: N193A01Coastal and marine navigation, as well as doing so safely, requires the correct identification of vessel type and prediction of behaviors. While the development of Automatic Identification System (AIS) has eased the burden of vessel localization and identification, errors still occur due to improperly configured messages, whether done innocently or maliciously.In order to increase the safety of ou ...
SBIR Phase I 2020 Department of DefenseNavy -
(1)- Actionable Analytics Using AI/ML for Supply and Sustainment Mission Success
SBC: BEACON INTERACTIVE SYSTEMS LLC Topic: N193A01For N193-A01, Beacon is proposing to develop innovative AI and ML technologies that can predict and prescribe items for resupply within Naval Air Operations. The approach will be to build upon previous successful SBIR transitioned shipboard digital assets. The innovation proposed is to use AI / ML to inform and provide actionable intelligence into the supply chain from the operational point-of-per ...
SBIR Phase I 2020 Department of DefenseNavy -
(4) Advanced Threat Detection and Analysis using Multi-Dimensional Machine Learning for Industrial Control Systems
SBC: D-TECH, LLC Topic: N193A01Cybersecurity risk assessments practiced today are mostly qualitative in nature and inadequate to address the real-time cyber threat, especially advanced persistent threat (APT) in the enterprise. Cybersecurity operations rely heavily on various security tools running in silos and generating large volumes of security data that are difficult to comprehend and provide little value for actionable dec ...
SBIR Phase I 2020 Department of DefenseNavy -
Focus Area #8- NAVY TECHNOLOGY ACCELERATION- Machine Learning (ML) and Artificial Intelligence (AI) to Develop Capabilities and Impact Mission Succe
SBC: BLUE RIDGE ENVISIONEERING, INC. Topic: N193A01Automatic Identification System (AIS) messages are a rich source of data for situational awareness of maritime surface vessels and identification of potentially anomalous vessels, however they are too voluminous and heterogeneously sequenced for a human operator and traditional compute algorithms to make sense of at a regional scale. While these challenges can limit the effectiveness of traditiona ...
SBIR Phase I 2020 Department of DefenseNavy -
4- NAVY TECHNOLOGY ACCELERATION- Unmanned Surface Vehicle (USV) and Unmanned Underwater Vehicle (UUV) Autonomous Behavior Development
SBC: TRIDENT SYSTEMS LLC Topic: N193A02Research Proposed: Research is proposed to research and design a novel Unmanned Vessel Health Monitoring System (UVHMS), providing an onboard diagnostics and prognostics system for USV and UUV, supporting the identification of active and imminent platform faults. Using onboard sensors and data processing, multi-sensor cross-correlation, pattern recognition and anomaly detection, the UVHMS will ess ...
SBIR Phase I 2020 Department of DefenseNavy -
1- STORMY: Storm-Aware USV Operations using Multi-Objective Autonomy
SBC: SCIENTIFIC SYSTEMS CO INC Topic: N193A02STORMY (Storm-Aware USV Operations using Multi-Objective Autonomy) will allow a USV to weigh global mission objectives such as arrivals at a time-prioritized sequence of locations against damage to the vessel due to high seas or collision with other vessels during long-duration missions. The proposed WAVES technology addresses these issues with a two-tiered approach to vehicle motion which conside ...
SBIR Phase I 2020 Department of DefenseNavy -
(2) Adaptive Perception Behaviors (APB)
SBC: CHARLES RIVER ANALYTICS, INC. Topic: N193A02To be mission-relevant, Navy unmanned surface vehicles (USVs) must perceive and behave like manned ships. Cameras are valuable for supporting human-like perception because their high-resolution detail enables ship classification, tracking, COLREGS determination, and threat characterization. Human watchstanders use a variety of cues and heuristics to scan the surroundings and contacts optimally, bu ...
SBIR Phase I 2020 Department of DefenseNavy -
1-NAVY TECHNOLOGY ACCELERATION- Unmanned Surface Vehicle (USV) and Unmanned Underwater Vehicle (UUV) Autonomous Behavior Development- 19-098
SBC: METRON INCORPORATED Topic: N193A02The US Navy has embarked on an effort to diversify its fleet to include fully unmanned surface platforms. As theendurance of these unmanned systems extends from days to months, pre-mission planning will be insufficient to handle uncertainty in operations. Nowhere is the resultant need for adaptive planning more pressing than in weather avoidance, where the dynamics of nature limits practical forec ...
SBIR Phase I 2020 Department of DefenseNavy