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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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AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization
SBC: KRTKL INC. Topic: SOCOM23B001krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...
STTR Phase I 2023 Department of DefenseSpecial Operations Command -
AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization
SBC: PARRY LABS, LLC Topic: SOCOM23B001Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...
STTR Phase I 2023 Department of DefenseSpecial Operations Command -
Self-Supervised Training in Geospatial Applications with a Robust Hierarchical Vision Transformer (STAR)
SBC: UNIVERSITY TECHNICAL SERVICES, INC. Topic: OSD22A001Satellite Imagery in Geospatial Intelligence (GEOINT), in conjunction with imagery intelligence (IMINT), geospatial information, and other means of gaining intelligence, has greatly improved the potential of the warfighter and decision makers enabling them to gain a more comprehensive perspective, an in-depth understanding, and a cross-functional awareness of the operational environment. The Artif ...
STTR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency -
Multi-Dimensional Event Sourcing & Correlation- Publicly Available Information (PAI) (MDESC-P)
SBC: PROGRAMS MANAGEMENT ANALYTICS & TECHNOLOGIES INC Topic: SOCOM22DST01Multi-Dimensional Event Sourcing & Correlation - Publicly Available Information (PAI) (MDESC-P) will support collection jointly across disparate PAI sources with coordinated cueing of more constrained intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) sources. The primary objective for MDESC-P is to deliver a scalable and automated PAI collection management solution using a ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
Population Behavioral Analysis at Scale, AOR Modeling
SBC: DEEP LABS INC Topic: SOCOM22DST01Deep Labs recognizes USSOCOM’s challenge to process multiple data and communications inputs for optimized decision making, and to support rapid on-the-move abilities to learn and communicate knowledge to enhance tactically relevant situational awareness in peer/near peer environments. Deep Labs has proven this capability across complex challenges in the world’s largest commercial enterprises a ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
SeaCraft / AeroNautical Data-collector (SCAND) for real-time target recognition
SBC: HYDRONALIX INC Topic: SOCOM22DST01Intelligent detection and imaging technology hold considerable value for Department of Defense to attain situational awareness and advantage over opposing forces, and for aid in navigating potentially dangerous marine and terrestrial environments. Technologies obtain intelligence on underwater threats and can gather intelligence on approaching surface threats. Current sensor technologies require a ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
Edge Quantum Processor
SBC: STREAMLINE AUTOMATION LLC Topic: SOCOM22DST01Quantum technology will become a key enabler of future Air Force superiority. Topological insulator (TI) qubits are inherently stable and fault-tolerant because they exploit local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum states. Wake Forest University and Streamline Automation have been working collaboratively for the last se ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
sUAS Munition Teaming for Advanced Precision Strike
SBC: CHARLES RIVER ANALYTICS, INC. Topic: SOCOM21C001Precision-guided munitions have demonstrated dramatic effects with minimal collateral damage. New technology developed specifically to deny them accurate guidance information is now feasible, even for non-traditional adversaries. Further, digital communications are flooding the air with signals that interfere with communications many guidance methods rely on. Swarms of small, covert small Uncrewed ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
sUAS Munition Teaming for Advanced Precision Strike
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: SOCOM21C001The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
sUAS Munition Teaming for Advanced Precision Strike
SBC: INVARIANT CORPORATION Topic: SOCOM21C001This task seeks to develop advanced teaming via machine learning between small unmanned air systems and Non Line-of-Sight (NLOS) munitions in GPS denied Environments. Current precision targeting capabilities are robust to state errors from ISR targeting platforms and weapons systems seeking to passively acquire a target. Visual Based Navigation (VBN) provides required state information in GPS deni ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command