BRYX™ Wins 2024 Artificial Intelligence Breakthrough Award

July 10, 2024 | Awards

KCI has been honored by a prestigious international annual awards program for standout AI and Machine Learning.

The firm announced that its BRYX platform has been selected as winner of the “Best AI-based Solution for Construction” award in the seventh annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today.

BRYX™ is a Model-as-a-Service (MaaS) platform that offers AI-focused, pre-trained models to users within the architecture, engineering, and construction (AEC) industry. Using BRYX’s growing catalog of machine learning, computer vision, and computational models, users can easily upload data, start model runs, monitor progress, and view/download model results – from within the secure BRYX site. With BRYX models, users can streamline manual-based tasks, improve safety conditions, and gather additional insights into their data. This direct accessibility to advanced technology comes with no required coding, model training, or infrastructure development by the end-user.

BRYX models are designed to be used for a range of engineering and operations tasks within a variety of markets, including utilities, manufacturing, transportation, and construction. Current offerings include a power pole equipment detection model; a personal protective equipment (PPE) detection model that analyzes construction site imagery to detect PPE usage; a traffic control device detection model that identifies traffic control devices used in roadway construction projects; and RoboFlat, an advanced solution for optimized concrete floor flatness testing, a critical requirement for robotic warehouses and other facilities.

BRYXThe BRYX platform allows users to easily explore the model catalog, upload data, run models, monitor model performance, and access output files and logs.

“We developed BRYX to bring next-gen solutions to AEC users. These professionals are now able to reshape the way that they approach their work while staying up to date with the latest advancements in technology,” said Jeanne Ruthloff, KCI Technology & Innovation Sector President. “We’re so pleased to receive the ‘Best AI-based Solution for Construction’ award from AI Breakthrough. Our goal is to continue to expand the BRYX catalog over time with additional models that transform data and build intelligence.”

The mission of the AI Breakthrough Awards is to honor excellence and recognize the innovation, hard work and success in a range of AI and machine learning related categories, including Generative AI, Computer Vision, AIOps, Deep Learning, Robotics, Natural Language Processing, industry specific AI applications and many more. This year’s program attracted more than 5,000 nominations from over 20 different countries throughout the world.

“BRYX brings the power of AI to the AEC industry, providing users with affordable, accessible, intelligent solutions without any need for substantial investment in technology or skills training. AI has been difficult to fully adopt in this industry due to having to hire outside experts to train models, investing in expensive hardware, or purchasing siloed solutions,” said Steve Johansson, managing director, AI Breakthrough. “With BRYX, users have access to a variety of production ready models in a high-performing environment—saving resources, time, and money. The innovative platform is ushering in a paradigm shift in how emerging technology can be used by engineering and construction stakeholders looking for cost-effective ways to use AI to optimize their processes.”

Additionally, BRYX is built to be scalable and able to process large datasets simultaneously, such as thousands of images and point cloud files. Users access BRYX directly from the cloud, with no installations and the user-friendly design guides users through the process of running a model via a step-by-step interface, allowing them to upload/select data, configure model parameters, and start the model run in a prescribed order.

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