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<figure class="image"><img style="aspect-ratio:426/255;" src="https://deeply-website-backend.s3.ap-northeast-2.amazonaws.com/deeply/2024-11/23abc4d6-ee07-4ea0-a463-bb0d2ec2b1c1.jpg" width="426" height="255"></figure>Suji Lee (right), CEO of Deeply, and Myunghoon Ryu, CIO.&nbsp;Deeply, a startup specializing in AI sound detection and analysis solutions is making strides in the field. In an interview with The Korea Economic Daily, CEO Suji Lee emphasized, “The potential of sound AI is immense—from detecting abuse situations in call centers to monitoring livestock health on farms.”&nbsp;Deeply’s proprietary sound detection system, ListenAI, utilizes a dataset of 42 different sound types, totaling 50,000 hours of audio. This enables it to identify sudden incidents across various environments. For example, it can detect machine malfunctions in manufacturing facilities or alert workers to fall accidents at construction sites through sounds like crashing or shouting.While existing AI services focused on voice analysis for translation, specialized AI for sound classification and analysis has been rare. CIO Myunghoon Ryu noted, “We have developed an integrated solution combining AI software with specialized hardware like microphones and edge servers.”&nbsp;Deeply collaborates with major partners, including Kangwon Land, Lotte Construction, and KORAIL, to implement its solutions effectively. More recently, ListenAI has been implemented at facilities like the Government Sejong Complex Sports Center and restrooms at Incheon National University Station. The system detects sounds in real-time and issues alerts upon identifying abnormal situations. CEO Lee stated, “Even where CCTV is installed, incidents can be missed without continuous monitoring. ListenAI enhances the accuracy of surveillance when used alongside CCTV.” KORAIL also employs the solution to monitor the sounds of traction motors for early fault detection.&nbsp;Lee founded Deeply after identifying the technical challenges in sound AI compared to visual AI. He said, “For sound AI to function effectively, it needs to account for factors like echo, noise, and human speech characteristics. This makes it a field that is not easily replicable by other AI companies.”&nbsp;To develop their sound AI models, Deeply gathered diverse sound data, including screams, fighting noises, and object impacts. Ryu shared, “We acquired external data, hired actors for specific recordings, and curated a dataset tailored to sound event lists for training models.”&nbsp;Deeply has also embarked on a project with Korea University Hospital to track the daily routines of depression patients, monitoring activities such as regular exercise and meals through sound analysis.&nbsp;“The possibilities for sound AI are endless,” said Lee. “Deeply aims to be at the forefront of this pioneering field.”&nbsp;— Euni Ko, The Korea Economic Daily<a href="https://www.hankyung.com/article/2024111129051">https://www.hankyung.com/article/2024111129051</a>

“AI Sound Analysis: Endless Applications”

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<figure class="image"><img style="aspect-ratio:1713/1285;" src="https://deeply-website-backend.s3.ap-northeast-2.amazonaws.com/deeply/2025-01/f9eb6fe9-85ec-44a2-b6f1-ac4e4c0c4d65.jpg" width="1713" height="1285"></figure>Deeply, an AI-powered sound analysis company, unveiled its innovative solution, Listen AI, at CES 2025. This groundbreaking technology offers safety solutions for detecting emergency sounds, such as screams and shouts, in physical security settings, as well as machine solutions capable of identifying abnormal mechanical noises in industrial environments. To support these solutions, Deeply introduced a suite of proprietary tools, including three specialized microphones, the AI Sound Box, and a real-time monitoring dashboard.&nbsp;CES 2025, the world’s largest IT and electronics trade show, was held from January 7 to 10 in Las Vegas. On the opening day, Deeply demonstrated the capabilities of Listen AI during the Korea Pavilion product showcase, highlighting the potential of its technology to a global audience. Following CES, the company plans to participate in the Intersec exhibition in Dubai to further demonstrate its advanced solutions on the global stage.&nbsp;Listen to AI addresses critical safety needs by detecting emergency sounds such as screams, shouts, and cries for help in real-time, offering a significant improvement over traditional camera-based surveillance systems. With minimal privacy concerns, the technology is suitable for sensitive areas such as restrooms and changing rooms. The solution is already enhancing public safety in locations such as Incheon Transit Corporation’s subway stations and the sports facilities of the Government Complex in Sejong.&nbsp;In addition to its safety applications, Listen AI is also transforming industrial maintenance by detecting mechanical issues, including abnormal engine noises, bearing faults, and fastening irregularities. By predicting potential failures and extending the lifespan of machinery, this technology is proving invaluable in sectors such as automotive manufacturing, high-speed KTX trains, and military unmanned drones.&nbsp;Deeply’s innovations are underpinned by the world’s largest non-verbal sound dataset, comprising 13.9TB of data. Using this resource, the company has developed a transformer-based deep learning model with over 98% accuracy. Leveraging MLOps-driven automated learning systems Deeply has reduced false positives by a factor of 10, ensuring continuous improvement in model performance. These features make the solution highly adaptable to real-world applications, ranging from unmanned monitoring to smart cities and factories. With this focus, Deeply is positioning itself as a leader in auditory AI, particularly in the emerging multimodal AI era.&nbsp;Through CES, Deeply introduced a fully developed Listen AI solution, designed for immediate global deployment. The company also showcased a revamped monitoring dashboard, which significantly enhances ease of use and accuracy, enabling real-time situational awareness and swift responses. Starting February 1 Deeply plans to offer products through a CES-exclusive promotion with global shipping availability, aiming to forge new partnerships and expand its market presence.&nbsp;Deeply CEO Suji Lee stated, “Our participation in CES sets a new benchmark for sound AI technology, establishing Deeply as a global leader driving innovation in both manufacturing and safety sectors.” By unveiling Listen AI on the international stage, Deeply is redefining the future of sound-based AI, presenting its vision for safer and smarter solutions across diverse industries.&nbsp;<a href="https://www.fetv.co.kr/news/article.html?no=184325">https://www.fetv.co.kr/news/article.html?no=184325</a>&nbsp;

Deeply Showcases Innovative Listen AI Solution at CES 2025 and Intersec

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<figure class="image"><img style="aspect-ratio:800/524;" src="https://deeply-website-backend.s3.ap-northeast-2.amazonaws.com/deeply/2024-11/598bf2e5-d577-4e87-bdf8-4ab7aa8ad07c.jpg" width="800" height="524"></figure>▲ (From left) Suji Lee, CEO of Deeply, and Myunghoon Ryu, CIOInterview with Suji Lee, CEO of DeeplyAs AI technology moves beyond visual recognition into auditory analysis, it becomes increasingly integrated into daily life and work environments. Deeply, an AI startup focused on sound-based solutions aims to enhance efficiency and create new value across various industries. We spoke with Suji Lee, CEO of Deeply, about the company’s founding, technological evolution, and long-term plans.&nbsp;Preventing Risks with 'ListenAI'Deeply, it has gained attention for developing AI solutions that use sound data for emergency detection and industrial applications. Their flagship product, ListenAI, analyzes real-time patterns such as screams, collisions, and machinery noises to address safety issues in industrial and public spaces. With a focus on B2B solutions, Deeply aims to implement predictive maintenance systems that boost efficiency and safety in manufacturing.&nbsp;What sets ListenAI apart is its ability to analyze complex audio environments and recognize patterns to make real-time assessments, going beyond just detecting volume or vibrations. This capability has been deployed in subways, large shopping centers, and factories, offering precision previously lacking in AI systems. This precision improves industrial safety and enables predictive maintenance, strengthening Deeply's competitive advantage.&nbsp;ListenAI has demonstrated its capabilities through deployments at various public and private sites.. Notable examples include installations at the Government Sejong Complex, Kangwon Land, and Incheon National University Station. At the Government Sejong Complex Sports Center, over 10 units of ListenAI were installed to monitor blind spots that CCTV cannot cover, ensuring comprehensive emergency detection. At Kangwon Land, the system detects and preempts conflicts between patrons, allowing for immediate intervention. In Incheon, ListenAI identifies sounds such as female screams and violent altercations, promptly alerting control centers. “The system can analyze and trigger warnings within seconds of sound detection, helping prevent real-life threats,” said CEO Lee.&nbsp;Predictive Maintenance in ManufacturingDeeply’s sound analysis technology is also making waves in the manufacturing sector through its predictive maintenance applications. Their solution detects potential malfunctions in rotating machinery and motors by analyzing abnormal sound patterns. For instance, ListenAI can identify vibration patterns indicative of potential bearing failures, issuing warnings before breakdowns occur. This approach has earned high praise from manufacturers, outperforming traditional vibration-based monitoring systems in both speed and precision.&nbsp;“Minor issues in machinery that go undetected can lead to significant accidents. However, current vibration sensors can’t detect all internal noises or abnormal behaviors. Our AI solution comprehensively analyzes sound signals to precisely diagnose machine status,” explained Lee. This technology helps plant operators avoid unexpected equipment failures, reducing downtime and maintenance costs.&nbsp;“Establishing a Robust Safety Framework with High-Quality Data”Deeply’s AI solutions prioritize contextual understanding of sound, built on a vast dataset exceeding 50,000 hours. This extensive collection includes not only conventional sound data but also situation-specific and global environmental audio, ensuring high accuracy and reliability. The company’s strong dataset foundation is one of its key strengths. Early in its journey, Deeply enhanced its AI capabilities with sound data collected from home environments during its initial B2C phase.&nbsp;As it shifted to B2B, Deeply expanded its data collection efforts internationally, including field data from locations like India. Gathering audio from crowded streets with varied noises such as car horns and emergency alerts, Deeply developed models capable of accurately detecting emergencies in complex global environments. This expertise has positioned Deeply in voice recognition and as a comprehensive solution for analyzing and classifying all forms of unstructured sound data.&nbsp;Today, Deeply offers tailored solutions across industries, customizing models to meet client needs. For example, in manufacturing, the system collects and analyzes data from on-site microphones and servers to detect anomalies and assist with prompt interventions. Integrating with traditional vibration and ultrasonic sensors enhances predictive accuracy, and Deeply’s AI continuously learns to improve its precision. In the safety sector, ListenAI works in tandem with CCTV systems, combining visual and audio data for greater reliability, showcasing Deeply’s multimodal approach.&nbsp;Looking ahead, Deeply aims to further leverage its sound recognition technology to enhance safety and productivity across industries. “AI has evolved from a supporting tool to one that supplements human senses, like hearing,” said CEO Lee. “We’re advancing toward an AI that can understand and respond to complex sound environments autonomously.” To achieve this, Deeply plans to expand its datasets, develop new algorithms, and strengthen partnerships to provide customized solutions for various sectors.&nbsp;Deeply is also developing an integrated solution combining hardware and software to accelerate market entry. Beyond offering software, the company supplies custom microphones and servers to ensure optimal performance in diverse environments. For example, high-frequency and vibration-detecting microphones are used in manufacturing settings, while noise-filtering features are incorporated for noisy sites like construction areas or subways, enhancing accuracy.&nbsp;By providing tailored solutions for different industry needs, Deeply seeks to expand the applications of AI sound recognition technology. “Our ultimate goal is to go beyond just offering sound analysis AI solutions to becoming a comprehensive platform that revolutionizes safety and efficiency across all industries,” concluded CEO Lee.&nbsp;— Jaechang Seo, HelloT News &nbsp;<a href="https://www.hellot.net/news/article.html?no=9515">https://www.hellot.net/news/article.html?no=9515</a>&nbsp;