Project Grant 2537548
- This $255,996 National Science Foundation Technology, Innovation, and Partnerships award to Wave Logix, Inc. supports development of an Internet of Things sensing platform to monitor civil infrastructure concrete strength. The awardee will prototype a piezoelectric concrete strength sensor integrated with customized data logging, processing, and transmission capabilities. A secure cloud-based database is also envisioned to provide contractors real-time in-place concrete strength data through...
- This $274,904 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an integrated computer vision capability to construct detailed 3D models from 2D photographs. The project aims to integrate geometric and semantic methods to accurately extract critical infrastructure asset features, such as utility pole height, inclination, wire gauges, deterioration, and...
- Federal Grant Award Summary Circle Concrete Tech, Inc. received a $304,856 Phase I Small Business Innovation Research (SBIR) award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) for the period June 1, 2025 through November 30, 2025. The company is developing engineered recycled steel fibers as a replacement for conventional steel reinforcing bar (rebar) in concrete construction applications. This Phase I project focuses on...
- Federal Grant Award Summary Across AI, Inc. received a $305,000 Phase I Small Business Innovation Research (SBIR) award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), effective July 1, 2025 through June 30, 2026. The company will develop a novel artificial intelligence (AI) framework that combines algorithmic logical reasoning with machine learning models to enhance the analysis of unstructured data in enterprise...
- The National Science Foundation (NSF) awarded a Cooperative Agreement under the Technology, Innovation, and Partnerships (CFDA 47.084) program to Canetia Analytics, Inc. for the development of an AI-based, IoT-enabled system for structural health monitoring. The $992,460 award, with a period of performance from May 1, 2025 to April 30, 2027, aims to create a technology solution that enables automated, remote, low-cost, and continuous assessment of the structural health of buildings and...
- Federal Project Grant Award Summary Award Details: National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) Project Grant to Michigan Technological University, awarded August 1, 2025, with total federal obligation of $209,581, completion date July 31, 2027. Products and Services: This Engineering Research Initiation (ERI) award funds the development of a novel, non-contact ultrasonic monitoring system based on Rayleigh waves (surface-traveling sound waves) to optimize...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded $299,700 to Pricing Service, Inc. under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) for a Small Business Innovation Research (SBIR) Phase I project running from October 1, 2025 through September 30, 2026. The award funds development of an artificial intelligence-enabled automated pricing platform designed to provide dynamic pricing optimization capabilities to small and mid-sized...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Phase I Small Business Innovation Research (SBIR) grant awarded $275,000 to ADA TECH LLC to develop a novel artificial intelligence-powered generative design solution. The project aims to integrate consumer data, Internet of Things (IoT) telemetry, and design for excellence (DFX) engineering specifications into 3D generative computer-aided-design models. The primary objectives are to enable the...
- This National Science Foundation (NSF) Cooperative Agreement award under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,000,000 in funding to Gravel Capital LLC to develop an artificial intelligence-powered printed circuit board assembly (PCBA) prototyping service. The project aims to create a rapid, cost-competitive PCBA manufacturing service that leverages computer vision and AI techniques to automate the design process, reduce innovation timelines, and...
- Federal Cooperative Agreement Summary AI Linear Inc. was awarded $1.25 million through the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) on July 15, 2025, for an SBIR Phase II project with completion targeted for June 30, 2027. The awardee will develop an artificial intelligence (AI)-enabled integrated circuit (IC) designed for real-time anomaly detection in predictive maintenance applications. The IC combines an ultra-low-power analog...
Applied Research Transformation, PLLC received a $305,000 Project Grant from the National Science Foundation's Directorate for Technology, Innovation, and Partnerships (CFDA 47.084) effective July 1, 2026, through June 30, 2027. This Small Business Innovation Research (SBIR) Phase I award supports the development of an artificial intelligence-powered computer vision system designed to ensure quality and structural integrity of 3D concrete printing (3DCP). The primary deliverable is an AI algorithm rooted in physics-informed neural networks that utilizes shortwave infrared cameras to monitor concrete setting and bonding in real-time during field-based printing operations. This technology accounts for ambient environmental impacts on concrete curing and bond strength, enabling automated quality assurance throughout the printing process. The project addresses critical national infrastructure and construction labor challenges by advancing 3DCP technology toward commercial readiness. The AI solution will enhance automation of concrete printing operations, improve structural quality, increase printer productivity, and expand operational capability across varying environmental conditions. The awardee's business model generates revenue through hardware sales to printer manufacturers and recurring revenue streams based on usage, data, and services, positioning the technology to support broader industry adoption of automated concrete construction for housing, commercial facilities, and civil infrastructure applications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $305.0k | 7/1/26 |