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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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Digital Augmentation for Analog Systems
SBC: IERUS TECHNOLOGIES INC Topic: A20117Photon-X and Pilot AI will assess the feasibility of building a rangefinder that uses object shapes and Artificial Intelligence (AI) to better detect objects and estimate their range. The project will combine novel shape-sensing imaging technology with edge-optimized AI algorithms that can run on a small, battery-powered device. The key tasks of the project will be: Validate that a computer vision ...
SBIR Phase II 2023 Department of DefenseSpecial Operations Command -
Visual Augmentation Systems (VAS) Range Finder
SBC: Maztech Industries LLC Topic: SOCOM234003IERUS is developing a novel phased array ground terminal aperture architecture for the DoD's next generation of satellite constellations. With the proliferation of high-bandwidth satellites across LEO, MEO, and GEO, there is a need for SWaP-C optimized user terminal apertures. The IERUS solution implements scalable and mission-set reconfigurable technologies to enable rapid transition into operati ...
SBIR Phase I 2023 Department of DefenseSpecial Operations Command -
Visual Augmentation Systems (VAS) Range Finder
SBC: ATTOLLO ENGINEERING, LLC Topic: SOCOM234003Augmentation Systems (VAS) Range Finder. It provides opportunities for day/night observation and range measurement in a small, easy-to-use device. We tradeoff features and SWAP-C to determine optimal combinations and document them in a feasibility study. Novel methods of presenting ranges are further. investigated and discussed.
SBIR Phase I 2023 Department of DefenseSpecial Operations Command -
Cerebras Systems artificial intelligence (AI) and machine learning (ML) to process and categorize concurrent video security streams against critical national level objectives
SBC: CEREBRAS SYSTEMS INC Topic: J201CSO1HQ AFSOC A2 and JSOC’s JIB have a national defense-related mission need in rapid, effective decision-making to support the nation’s elite special operators. The initial Cerebras’ super-computing Phase II successfully validated the system’s ability to util
SBIR Phase II 2023 Department of DefenseSpecial Operations Command -
Hokkien Low Density Language Capability
SBC: FEMTOSENSE, INC. Topic: SOCOM232002Femtosense is an innovative tech startup leading the charge to deploy sparse AI using novel techniques that are far more affordable and easier to implement than traditional AI computational technologies. Femtosense’s invention – the Sparse Processing Unit (SPU-001) is a TRL level 7 processing chip poised to disrupt the $50B AI hardware market. It offers best-in-class SWaP-C (Size, Weight, Powe ...
SBIR Phase I 2023 Department of DefenseSpecial Operations Command -
Hokkien Low Density Language Capability
SBC: TOYON RESEARCH CORPORATION Topic: SOCOM232002Toyon proposes to establish the feasibility of a novel approach to performing S2ST between a target language, such as English, and the low density spoken only language Hokkien. While we will focus of Hokkien during the research and development efforts of Phase I, our system can be tailored to any low density spoken language. Our approach leverages our recently developed Android Team Awareness Kit ...
SBIR Phase I 2023 Department of DefenseSpecial Operations Command -
High Energy Density Batteries
SBC: WASATCH IONICS LLC Topic: SOCOM232003Soldiers conducting missions on foot in remote locations must carry multiple battery powered electronic devices, such as multiband radio sets, night vision goggles and scopes, GPS tracking, thermal imagers, target designators, etc. These devices allow soldiers to target, move, and communicate in the modern battlefield. Depending upon the type of mission and its duration, soldiers might not have th ...
SBIR Phase I 2023 Department of DefenseSpecial Operations Command -
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 -
81mm Mortar Optical Guidance System
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: SOCOM182001For decades 81mm mortars have always been an indirect area suppression weapon. Aiming the mortar tube on the correct vector and getting the tube elevation angle and charge calculation accurate enough to strike the intended target on the 1st, 2nd, or even 3rd round is very rare. This consistently results in time, ammunitions, cost, and communication effort being wasted for both the mortar team and ...
SBIR Phase II 2023 Department of DefenseSpecial Operations Command -
Lens Antennas for Resilient Satellite Communications (SATCOM) on Ground Tactical Vehicles
SBC: IERUS TECHNOLOGIES INC Topic: A20117IERUS proposes the development of a SATCOM OTM terminal capable of multi-beam operation which will reduce - or eliminate - gaps in communication switchovers during satellite transitions. This proposed system consists of a 3D-printed lens acting as a passive beamformer, reconfigurable array for wideband frequency coverage, and a switched beam steering network. The combination of these subsystems re ...
SBIR Phase II 2023 Department of DefenseSpecial Operations Command